DiskRaptor v1.0.51

DiskRaptor is a modern open source disk space analyzer designed to help you quickly understand what is consuming storage on your computer. Built with Rust and Tauri 2, it is positioned as a faster, more modern alternative to tools such as WinDirStat and DaisyDisk.

What makes DiskRaptor particularly interesting is its focus on handling very large file systems. The project uses native Rust scanning components and a virtual tree interface designed to remain responsive even when working with millions of files.

What Is DiskRaptor?

DiskRaptor is a cross platform disk usage analyzer for Windows, macOS, and Linux.

Its main purpose is simple. You select a drive or directory, let DiskRaptor scan it, and then explore which folders and files are consuming the most space.

The project is built with Rust and Tauri 2. The native scanning engine handles file system traversal while the interface runs inside the operating system's native webview. This keeps the application relatively lightweight compared with applications that bundle an entire Chromium runtime.

Fast Disk Scanning

Performance is one of DiskRaptor's main selling points.

The project uses a parallel scanning engine on macOS and a reliable walkdir-based engine on Windows and Linux. It is designed to handle drives containing millions of files, with the project documenting support for scans involving up to 20 million nodes.

Access denied folders are handled gracefully as well. Instead of completely stopping a scan because it encounters a protected directory, DiskRaptor logs the problem and continues scanning.

For users with large SSDs, hard drives, external drives, or development machines containing huge numbers of files, this approach can make a significant difference.

Virtual Tree View

DiskRaptor uses a virtual tree interface that renders only the items currently visible on screen.

This is important when working with extremely large directory structures. Loading millions of files into a conventional browser interface would quickly become impractical.

The project claims that its virtual tree can handle more than 10 million files while remaining responsive.

You can navigate through folders, inspect file sizes, and identify which directories are responsible for consuming storage.

Multiple Visualization Options

DiskRaptor doesn't rely on a single visualization.

It provides several ways to understand disk usage, including:

• Pie charts

• Squarified treemaps

• Bar charts

• Galaxy 3D visualization

The application also provides a Top 50 list of the largest files. Selecting an item in the visualization can take you directly to the corresponding location in the directory tree.

The treemap is particularly useful when you want a quick visual overview of a large drive.

Find Large Files

Finding large files is one of the most practical reasons to use a disk analyzer.

DiskRaptor highlights the largest files and allows you to inspect their location directly.

This can quickly reveal things such as old installers, virtual machine images, Docker data, video files, build artifacts, backups, and other files that have quietly consumed hundreds of gigabytes.

Duplicate File Detection

DiskRaptor also includes duplicate detection.

It uses content hashing with xxHash3 to identify files that contain the same data.

This is more useful than simply comparing filenames because files with different names can still contain identical content.

Duplicate detection can be particularly helpful for large collections of photographs, videos, archives, downloads, and project backups.

Empty Folder Finder

The application can identify empty directories and allow you to jump directly to them.

This is a relatively small feature, but it can be useful when cleaning up development directories, extracted archives, or old project structures.

File Search and Filtering

DiskRaptor provides search functionality for scanned results.

You can search by filename pattern and filter results by file type, including:

• Images

• Video

• Audio

• Archives

• PDF files

This makes it easier to locate specific categories of files without manually navigating the entire directory tree.

File Management

DiskRaptor isn't purely a visualization tool.

Its context menus provide actions such as opening a file in Explorer or Finder, opening a terminal, viewing properties, copying a path, moving an item to the trash, and scanning a particular folder.

The ability to move files to the trash directly from the application makes cleanup considerably more convenient.

Because file deletion is potentially destructive, users should still verify what they are removing before performing cleanup operations.

Trash Recovery

Another useful feature is trash management.

DiskRaptor can browse items in the operating system's trash, restore them, or permanently delete them.

This gives the application some basic recovery functionality rather than treating deletion as a one way operation.

Reports and Export

DiskRaptor can export disk analysis results in several formats.

Supported options include:

• HTML reports

• CSV

• JSON

The HTML report can be shared as a standalone report containing statistics and charts. CSV and JSON exports are useful when you want to process the results with another application or script.

This is particularly useful for administrators who need to document storage usage rather than simply inspect it interactively.

Cross Platform Support

DiskRaptor supports:

• Windows

• macOS

• Linux

The project provides a Windows NSIS installer, a universal macOS binary supporting both Intel and Apple Silicon, and a DEB package for Debian and Ubuntu.

This makes it considerably more versatile than Windows-only disk analyzers.

Interface and Customization

The interface supports both dark and light modes, with the selected setting saved for future sessions.

It also supports 25 languages with automatic language detection and a language switcher.

Drag and drop is supported as well, allowing folders to be dragged from Explorer or Finder into DiskRaptor for scanning.

The interface also has resizable panels, keyboard navigation, and contextual menus.

Technology

DiskRaptor is built around Rust and Tauri 2.

The architecture separates the native layer from the interface. Rust handles scanning and native operations while JavaScript handles the user interface through the operating system's webview.

That means DiskRaptor does not need to ship its own Chromium browser engine.

On Windows it uses WebView2, macOS uses WKWebView, and Linux uses WebKitGTK.

For a disk utility that needs to remain responsive while processing very large directory trees, this is a sensible architecture.

Download DiskRaptor v1.0.51 - Software Mirrors
DiskRaptor v1.0.51 for Windows DiskRaptor.exe | 14.26 MB DiskRaptor-windows-x64.msix | 5.34 MB DiskRaptor-1.0.51-windows-x64.msi | 8.05 MB DiskRaptor-1.0.51-windows-x64.exe | 5.97 MB DiskRaptor-1.0.51-windows-x64-silent.msi | 5.36 MB DiskRaptor-1.0.51-windows-x64-silent.exe | 3.84 MB
DiskRaptor v1.0.51 for macOS DiskRaptor-1.0.51-macos-universal.pkg | 13.87 MB DiskRaptor-1.0.51-macos-universal.dmg | 14.76 MB
DiskRaptor v1.0.51 for Linux DiskRaptor-1.0.51-linux-x86_64.rpm | 7.53 MB DiskRaptor-1.0.51-linux-x86_64.deb | 7.53 MB DiskRaptor-1.0.51-linux-x86_64.bin | 11.27 MB DiskRaptor-1.0.51-linux-x86_64.AppImage | 82.37 MB
DiskRaptor v1.0.51 Source Code DiskRaptor v1.0.51 Source code (zip) DiskRaptor v1.0.51 Source code (tar.gz)
DiskRaptor v1.0.51 Release Notes: Full Changelog: v1.0.50...v1.0.51

Pros

• Open source

• Free to use

• Windows, macOS, and Linux support

• Built with Rust

• Tauri 2 architecture

• Fast directory scanning

• Designed for millions of files

• Virtual tree view

• Treemap visualization

• Pie charts

• Bar charts

• Galaxy 3D view

• Top 50 largest files

• Duplicate file detection

• Empty folder detection

• Filename search

• File type filtering

• Trash recovery

• Direct file management

• HTML report export

• CSV export

• JSON export

• Dark and light modes

• 25 languages

• Drag and drop support

• Apple Silicon support

Cons

• The project is still relatively young

• Some advanced features may need further refinement

• Scanning very large drives can still consume substantial CPU and storage I/O

• Deleting files directly from a disk analyzer requires caution

• The visualization features may be more than users need for simple disk cleanup

• Linux packaging currently focuses on DEB distributions

DiskRaptor vs WinDirStat

WinDirStat remains one of the best known Windows disk usage analyzers, but DiskRaptor takes a more modern approach.

DiskRaptor is cross platform, built with Rust and Tauri, supports multiple visualization modes, includes duplicate detection and trash recovery, and is designed around very large directory trees.

WinDirStat has the advantage of being a mature and well established Windows application.

For users who want a modern cross platform alternative, DiskRaptor is much more interesting.

DiskRaptor vs DaisyDisk

DaisyDisk is known for its polished macOS interface and strong visualization capabilities.

DiskRaptor brings a similar visual approach to Windows and Linux while also supporting macOS.

Its open source nature is another major difference.

For someone who wants a free and open source disk analyzer that works across multiple operating systems, DiskRaptor is a compelling alternative.

Who Should Use DiskRaptor?

DiskRaptor is a good choice for anyone who regularly needs to answer the question, "What is using all my disk space?"

It is especially useful for:

• Developers

• System administrators

• Power users

• NAS and storage users

• Large media collections

• Users managing external drives

• People cleaning old project files

• Anyone with a rapidly filling SSD

The large file and duplicate detection features are particularly useful for development machines where build artifacts, package caches, Docker files, virtual machines, and old repositories can accumulate surprisingly quickly.

Final Verdict

DiskRaptor is an impressive open source disk space analyzer with a clear focus on performance and usability.

Its Rust based scanning engine, virtual tree interface, multiple visualizations, duplicate detection, file filtering, and report export make it much more than a basic folder size viewer.

The cross platform support is another major advantage. You can use the same general workflow on Windows, macOS, and Linux rather than maintaining different disk analysis tools for each operating system.

The project is also under active development. The GitHub repository currently shows more than 800 commits, six open pull requests, and recent updates in August 2026.

It is still less mature than long established applications such as WinDirStat, so some users may encounter rough edges. Nevertheless, the architecture and feature set make DiskRaptor one of the more interesting modern alternatives in this category.

If you want a fast, open source, cross platform disk space analyzer, DiskRaptor is well worth trying.

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Software Informations:
Developer:
DiskRaptor
Operating System:
Windows / Linux / macOS
Date Added:
2026-11-03T14:07:17.204Z

GDevelop v5.6.286

GDevelop is an open source, cross-platform game engine that makes game development accessible without requiring traditional programming skills. It supports 2D, 3D, and multiplayer games and can export projects to the web, desktop, Android, iOS, Steam, and other platforms. Its event-based visual programming system, ready-made behaviors, extensive asset library, and optional AI assistance make it one of the most approachable game development tools available today.

GDevelop takes a different approach from traditional engines such as Unity or Unreal Engine. Instead of requiring developers to write large amounts of code, its event system lets users construct game logic using conditions and actions.

For example, a game rule can be expressed as a simple sequence of "If" and "Then" events. This makes the engine particularly approachable for beginners, educators, artists, and designers who want to create games without first learning a programming language.

At the same time, GDevelop is not limited to simple projects. JavaScript can be added when more advanced functionality is needed, while extensions and behaviors allow developers to expand the engine considerably.

Key Features of GDevelop

No-Code Game Development

The event system is the heart of GDevelop. Users can create gameplay mechanics visually by combining conditions and actions rather than writing traditional code.

This makes common tasks such as player movement, collisions, enemy behavior, scoring, menus, and object interactions considerably easier for beginners.

2D and 3D Game Development

GDevelop has expanded significantly beyond its original 2D focus. The current engine supports both 2D and 3D game development, with 3D rendering powered by Three.js alongside PixiJS for 2D graphics.

The newer 3D workflow includes an editor where developers can place objects and work with their game world more directly, making 3D development much more accessible than it was in earlier versions.

Ready-Made Behaviors

GDevelop includes a large collection of behaviors and extensions that provide common game functionality without requiring developers to build everything from scratch.

These can handle things such as platformer movement, physics, pathfinding, cameras, tweens, and other gameplay systems. The official website currently advertises more than 130 ready-made behaviors and extensions.

JavaScript Support

Although GDevelop is designed around no-code development, experienced developers are not restricted to the visual event system.

JavaScript can be used to extend gameplay logic, interact with APIs, access external data, and create functionality that is difficult to express entirely through events.

Multiplayer

GDevelop includes multiplayer capabilities and online services for games that require features such as player accounts, lobbies, and leaderboards.

This gives developers the ability to build more connected games without having to construct every backend service from scratch.

AI-Assisted Development

AI assistance has become part of the GDevelop workflow. The AI agent can help users create game logic, answer development questions, and accelerate prototyping.

The important part is that AI remains optional. Users can continue creating games entirely through the traditional GDevelop editor and event system.

Asset Store

GDevelop includes access to a large collection of ready-made assets and templates. The official platform currently lists more than 2,000 assets, including free resources and premium packs.

This is particularly useful for beginners who want to build a playable prototype without creating every visual asset themselves.

Cross-Platform Export

Games can be exported to multiple platforms, including:

• Windows

• macOS

• Linux

• Android

• iOS

• HTML5

• Steam

• Epic Games Store

• Microsoft Store

This makes GDevelop useful for developers who want to release the same project across several platforms without maintaining completely separate codebases.

Download GDevelop v5.6.286 - Software Mirrors
GDevelop v5.6.286 for Windows GDevelop-5-Setup-5.6.286.exe | 147.92 MB GDevelop-5-5.6.286-win.zip | 195.55 MB
GDevelop v5.6.286 for macOS GDevelop-5-5.6.286-universal.dmg | 269.78 MB GDevelop-5-5.6.286-universal-mac.zip | 260.05 MB
GDevelop v5.6.286 for Linux GDevelop-5-5.6.286.AppImage | 201.61 MB GDevelop-5-5.6.286-linux.zip | 192.04 MB GDevelop-5-5.6.286-arm64.AppImage | 201.91 MB
GDevelop v5.6.286 Source Code GDevelop v5.6.286 Source code (zip) GDevelop v5.6.286 Source code (tar.gz)
GDevelop v5.6.286 Release Notes: 📂 Folders now available in the Project Manager Use folders to organize scenes, external layouts, external events and gameplay tests in the project manager. This is helpful for large games, for example when you have a lot of external layouts for multiple levels in a game. !Folders used in the project manager 🤖 Connect GDevelop to your local AI agent ("MCP") An experimental "MCP" connection is now available to plug your own agent to GDevelop's tools. This is useful if you want to experiment building, debugging or learning with an AI agent like Claude Code, Codex, etc... !Claude Code connected to GDevelop Read more about how to setup a local agent in the documentation. This MCP, and the integrated GDevelop AI agent, will be improved if they are proving useful. 🌊 New ready-to-use 3D water and liquids When adding a new 3D water object to your scene, you can now select a ready-made version from the GDevelop asset store: !A scene with 3D water and the dialog showing some ready-to-use, pre-made 3D water assets They work well with the 3D terrains or, more generally, any 3D game. 💝 Improvements Make gameplay tests more reliable and support multiplayer games Add a "synchronized over the network" setting to behaviors: When disabled, behaviors are not synchronized, which is useful for behaviors like "Input Mappers". Add a shadow normal bias to directional lights to avoid shadow acne. Add Bluesky to the community links of the profile Redesign the order of the properties of 3D boxes in the properties panel. For custom objects and custom behaviors, properties are shown grouped per folder, and the groups are following the same order as these folders. Add pre-made effects that can be added to objects or 2d layers (tints & status colors) Add conversions across the boundary of custom objects ("ToParent"/"FromParent" expressions) Also add 3D versions of distances conditions/expressions and "turned toward" condition. Use the discrete graphics card and warn when the 3D rendering is slow (useful for devices with multiple GPUs or with hardware acceleration disabled) Load big projects faster and use less memory to load and save them. Show 3D model previews as icons of 3D objects and model resources. 🐛 Bug fixes Prevent crash from stale multiplayer heartbeat answers (thanks @dajiaohuang!) Fix crash of the 3D editor when adding an object with 3D physics from the asset store Fix instances placed in a scene being deleted on players when the scene is slow to load (multiplayer) Fix some memory leaks in the editor Fix object changes reverted in the in-game editor after switching editors Fix 3D layers wrongly not antialiased when they have post-processing effects Fix some crashes when an Array variable get holes Fix default value for 'block-on-diagnostic-errors' when not specified in the CLI (Thanks @ViktorVovk!) Fix stencil buffer not available on 3D layers with post-processing effects. Fix some effects display, especially CRT Fix crash of the user chip when the profile has no username nor email. Fix othographic camera scale according to the world scale ⚙️ Extensions Set the "mapper" behaviors as not synchronized over the network by default: they translate the inputs of the local player: on the copies of objects owned by other players. They must stay deactivated instead of being re-activated by the owner's game. [Reviewed][Mouse pointer lock] Fix touch look on mobile and screen-ratio-dependent mouse speed (v0.3.2) [Reviewed] Move 3D terrain and 3D water to reviewed extensions [Foliage swaying 3D] Improve performance and fix PBR consistency (v1.3.1) [Marching Squares] Fix drawing only the screen on a 3D layer (v0.6.2) [Pinching gesture] Fix converting positions to the scene on a 3D layer (v1.2.2) 🎨 Assets Add 6 new assets packs from Elv: * Dark Castle Tileset 16x16 Pixel Art * Fantasy Dreamland Enchanted Forest * Fantasy Dreamland Dungeons 2 * Fantasy Dreamland Dreams * Fantasy Dreamland Castle * Fantasy Dreamland Blacksmith Workshop The Fantasy Dreamland Bundle get 7 new packs for the same price, get 30+ pack in it on the Asset Store Fix the orientation metadata of 3D models Add 287 new sound effects from the "RPG Loot & Inventory SFX" audio pack by REEBOO Labs Updated most of the the Kenney.nl 3D packs 🕹 Premium Game Templates FPS 3D Multiplayer (S.W.A.T. Farm): Better map with Terrain3D. The Open Wild: 3D Open World: * Replaced the original terrain and ocean models with Terrain3D and Water3D. * Improved grass, vegetation and rock placement using TerrainGrass and ScatteredModels. * Added NavMesh pathfinding and improved lighting, shadows and visual effects. * Optimized models, textures and draw distances for better performance and removed unused resources. 3D Survival Game: * Replaced the original map and lake models with Terrain3D and Water3D. * Optimized vegetation with TerrainGrass and ScatteredModels, replacing 30,000 JavaScript-spawned grass objects. * Improved animal AI with NavMesh pathfinding and added lighting, fog and tone mapping. * Optimized shaders, character models and scene performance, updated the resolution to 1920 × 1080, and fixed player animation speeds. Soul of Valor Soulslike Fantasy: Updated Light3D and other extensions. Shellwar Combat Unleashed: Updated A3F to 1.6.0. Five Levels Horror with Camera System: Updated A3F to 1.6.0. Cubic World: Updated extensions to ensure the game works with newer versions of the engine. Chess Template: Updated extensions and added an outline to selected pieces. Weather App: Minor bug fixes. Add Ball Sort Puzzle mobile game premium template by GamePipStudio New Block Crush premium template by VegeTato Update Advanced Transitions by VegeTato Fixed a bug where using multi transitions in the same scene causes the extension to create huge amount of shape painter instances. Fixed an issue where shape painter object instances stays in the scene after the transition has finished.

Performance and User Experience

GDevelop is one of the easier game engines to approach for someone without previous programming experience. The visual event system is intuitive, while the editor provides enough depth to support considerably more sophisticated projects.

The interface also benefits from ready-made behaviors and extensions. Instead of spending hours implementing basic systems, developers can attach existing functionality to game objects and focus more heavily on gameplay design.

Performance is another area where GDevelop has matured. Its engine uses technologies such as PixiJS and Three.js for rendering, while physics extensions include Box2D and Jolt Physics.

There are still limitations compared with highly specialized engines. Developers building extremely complex 3D games may eventually encounter areas where Unity, Unreal Engine, or Godot provide greater depth and control. However, that is not really GDevelop's primary goal.

Its strength is the balance between accessibility and capability.

Pros

• Free and open source.

• Excellent for beginners.

• Supports 2D and 3D development.

• Visual event-based programming.

• JavaScript support for advanced users.

• Large collection of behaviors and extensions.

• AI-assisted development.

• Multiplayer capabilities.

• Large asset and template ecosystem.

• Cross-platform export.

• Can be used locally or through cloud-based workflows.

• Games created with the engine can be distributed commercially without being forced to open source the game.

Cons

• Advanced 3D development is not as mature as leading professional engines.

• Visual event systems can become complicated in large projects.

• Some cloud, publishing, and AI features are tied to paid plans.

• Developers who prefer conventional programming may find the event system restrictive.

• The ecosystem is smaller than Unity or Unreal.

Who Should Use GDevelop?

GDevelop is an excellent choice for beginners, indie developers, educators, students, artists, designers, and small teams.

It is especially useful when the goal is to turn a game idea into a working prototype quickly. Teachers can also use it to introduce game development without requiring students to learn a programming language first.

Experienced developers can benefit from the combination of visual events and JavaScript, making GDevelop more flexible than a typical no-code game maker.

Final Verdict

GDevelop has evolved into much more than a simple no-code game maker. Its combination of 2D and 3D capabilities, visual programming, JavaScript support, ready-made behaviors, multiplayer services, AI assistance, and broad export options makes it a surprisingly capable game development platform.

The biggest reason to choose GDevelop is its accessibility. You can start building a playable game without spending weeks learning programming or a complicated engine interface. As your project becomes more advanced, JavaScript and extensions provide an escape hatch when visual events are no longer enough.

For beginners and indie developers, GDevelop is one of the strongest open source game engines available. For experienced developers working on technically demanding 3D productions, more specialized engines may still be a better fit.

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Software Informations:
Developer:
GDevelop
Operating System:
Windows / macOS / Linux
Date Added:
2026-11-03T14:07:17.100Z

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Software Informations:
Developer:
ABBYY
Operating System:
Windows
Date Added:
2026-11-03T12:07:30.923Z

Handy v0.10.0

Handy is a free, open-source desktop application for speech-to-text conversion that transforms spoken words into written text, inserting them directly into whatever application you happen to be using. Instead of recording audio and manually transcribing the content via other services, Handy allows you to dictate triggered by a simple keyboard shortcut directly into web browsers, text editors, messaging apps, and any other text input fields.

The application prioritizes simplicity and privacy. Speech recognition is performed locally using artificial intelligence models such as Whisper and Parakeet, this means that, for standard transcription, there is no need to upload your microphone recordings to any cloud-based service.

Developed using Rust and Tauri, Handy is available for Windows, macOS, and Linux. It is highly useful for writers, software developers, students, and anyone who prefers speaking over typing.

Features

Speech-to-Text Anywhere

Handy's primary function is inserting transcribed speech into the currently active text field.

Users can press a configurable keyboard shortcut, speak naturally, and release the key or press the shortcut again to finish recording. Handy processes the audio and types the resulting transcript into the active application.

This makes it convenient for:

• Writing emails and documents.

• Composing messages and replies.

• Entering text into web forms.

• Dictating notes and technical documentation.

• Writing content in code editors and other desktop applications.

Unlike conventional transcription applications, Handy does not require users to work inside a dedicated editor.

Multiple Speech Recognition Models

Handy supports different speech recognition models to accommodate different languages, hardware configurations, and transcription requirements.

Whisper is suitable for multilingual transcription and supports more than 99 languages. Users can choose different model sizes depending on their hardware and preferred balance between speed and accuracy.

Parakeet V3 is optimized for CPU-based processing and offers automatic language detection. It is particularly useful for users who want relatively fast transcription without relying on a dedicated GPU.

Cohere Transcribe is another available option, designed for high-quality English transcription. It is larger and more demanding, making it better suited to computers with capable graphics hardware.

Model selection is important because transcription speed, accuracy, language support, and resource consumption vary considerably.

Completely Offline Processing

One of Handy's strongest advantages is local speech recognition. Once the required model has been downloaded, ordinary transcription can run without sending microphone audio or transcript content to an external transcription service.

This is useful for people who regularly dictate private messages, business documents, personal notes, or other sensitive content.

Handy does not require an account or cloud subscription for its basic transcription functionality. Network access is used for activities such as downloading models and application updates, along with optional services that users choose to configure.

Voice Activity Detection

Handy uses Silero Voice Activity Detection to identify speech and filter silence from recordings.

This helps reduce unnecessary audio processing and improves the transcription workflow, particularly when users pause naturally while speaking.

Removing silence can also make the application more convenient for longer dictation sessions.

Push-to-Talk and Toggle Modes

The application provides different recording controls.

In push-to-talk mode, users hold the configured shortcut while speaking and release it when finished. Toggle mode starts recording with one shortcut press and stops it with another.

Keyboard shortcuts can be customized to suit individual workflows and avoid conflicts with existing application shortcuts.

AI Post-Processing

Handy also provides an optional post-processing workflow for cleaning up transcribed text.

This can help improve punctuation, formatting, and readability after speech recognition. Depending on the configuration, post-processing can use an external AI provider, so it should not be confused with the fully local transcription workflow.

Users who prioritize privacy can use ordinary local transcription without enabling an external post-processing service.

Custom Dictionary and Transcription Settings

Handy provides settings for controlling transcription behavior, including model selection, language configuration, keyboard shortcuts, and custom vocabulary.

A custom dictionary is particularly useful when dictating technical terms, product names, abbreviations, or words that speech recognition models might otherwise misinterpret.

These options make the application more adaptable to specialized writing and professional workflows.

Cross-Platform Support

Handy supports Windows, macOS, and Linux.

It integrates with the desktop environment through global keyboard shortcuts and system-level text input. Depending on the operating system, it may require microphone and accessibility permissions.

Linux users may need additional utilities for reliable text insertion, depending on whether they use X11 or Wayland.

Download Handy v0.10.0 - Software Mirrors
Handy v0.10.0 for Windows Handy_0.10.0_x64_en-US.msi | 31.18 MB Handy_0.10.0_x64-setup.exe | 16.45 MB Handy_0.10.0_arm64_en-US.msi | 14.54 MB Handy_0.10.0_arm64-setup.exe | 10.26 MB
Handy v0.10.0 for macOS Handy_0.10.0_x64.dmg | 14.39 MB Handy_0.10.0_aarch64.dmg | 14.09 MB
Handy v0.10.0 for Linux Handy_0.10.0_arm64.deb | 28.31 MB Handy_0.10.0_amd64.deb | 32.55 MB Handy_0.10.0_amd64.AppImage | 118.05 MB Handy_0.10.0_aarch64.AppImage | 110.49 MB Handy-0.10.0-1.x86_64.rpm | 86.33 MB Handy-0.10.0-1.aarch64.rpm | 73.39 MB
Others Download related to Handy v0.10.0 Handy_x64.app.tar.gz | 14.42 MB Handy_aarch64.app.tar.gz | 14.24 MB
Handy v0.10.0 Source Code Handy v0.10.0 Source code (zip) Handy v0.10.0 Source code (tar.gz)
Handy v0.10.0 Release Notes: This is a substantial release, and it marks Handy being roughly feature complete as we move towards V1. In this release, there are some big features like transcribing audio files, auto language detection for all of the transcription models we support, a brand new onboarding flow, and starting to redesign some of the UI. There are a ton more quality of life improvements and small little details that hopefully you'll enjoy as well. The coming releases will be addressing issues and stability. From here on out, you shouldn't expect too many new features from Handy, but you should expect the app to become more beautiful and stable. Given there's a lot of new features, likely there will be some new issues, and we will address those in the rest of this release, and it will wrap us up and bring us to V1. A massive, massive thank you to all the contributors, for this release. A ton of PRs have came in, and really appreciate people submitting fixes and continuing to help the app improve. What's Changed Use Handy icon for Windows NSIS installer by @MikaKrul in #2117 fix: refresh custom sounds when opening sound selector by @MikaKrul in #1941 transcribe 0.3.0 by @cjpais in #2203 Docs/ubuntu 26 04 gnome wayland troubleshooting by @henderson-01 in #2206 docs: add overlay, wl-clipboard and non-QWERTY paste notes to the Ubuntu notes by @B-Galati in #2212 fix(portable): retain access to legacy model cache by @leongrphc in #2116 isolate transcribe.cpp backend in own worker by @cjpais in #2208 fix: show that the model is loading instead of a stuck "Transcribing..." by @maurild14 in #2227 docs: keep translation contribution guidance aligned with supported locales by @johnjheejin in #2235 fix(linux): allow renderer opt-out without dropping crash protection by @cjpais in #2249 transcribe 0.4.0 by @cjpais in #2265 move to handy-recorder by @cjpais in #2188 transcribe.cpp vad by @cjpais in #2267 feat: support Anthropic Messages API format in the Custom post-processing provider by @diligentpig in #2257 fix: avoid duplicate history rows during live updates by @johnjheejin in #2256 fix: expose setting names to screen readers by @johnjheejin in #2238 add ui to migrate onnx model users to gguf by @cjpais in #2277 actually remove onnx by @cjpais in #2279 feat: pass custom words via transcribe-cpp vocabulary API by @cjpais in #2284 long form chunking with vad by @cjpais in #2282 catalog from @handy-computer/models package by @cjpais in #2299 fix: stop blocking the main thread during paste by @cjpais in #2302 fix: center grade chip labels on Windows by @cjpais in #2326 feat: transcribe files into history by @cjpais in #2315 add language detection by @cjpais in #2331 fix: declare OpenSSL 3 runtime dependency in Debian packages by @mvanhorn in #2336 fix: reuse one HTTP client for post-processing requests by @rnmrnmrnmrnmrnmrnm in #2344 docs: document stale user manager trap for input-group permission fixes by @haroon0x in #2348 fix: preserve dictation when post-processing returns blank text by @johnjheejin in #2290 fix: identify the setting each reset button affects by @johnjheejin in #2253 fix(shortcuts): avoid ibus Ctrl+Space collision on Linux (#2332) by @Bl0ck154 in #2367 fix: let Escape dismiss dropdown menus by @johnjheejin in #2246 error notices framework by @cjpais in #2372 fix: ignore IME confirmation Enter in text inputs by @johnjheejin in #2248 fix: report failed history deletions to users by @johnjheejin in #2255 fix: name the audio playback position control by @johnjheejin in #2254 fix: preserve playback position when starting a seek by @johnjheejin in #2247 fix: dismiss focused setting tooltips with Escape by @johnjheejin in #2251 fix: release late audio sources after leaving history by @johnjheejin in #2309 fix: restore shortcut fallback when manager startup fails by @utpalsinghdev in #2327 fix(macos): prevent silent AirPods recordings when also playing audio from iPhone by @mattdoran in #1991 Add transcription hook by @AlexanderYastrebov in #930 fix(linux): add 'None' keyboard implementation for Wayland compositors by @aasmall in #1300 fix(linux): type multi-line text correctly with dotool by @Huge in #2199 feat(tray): add language switching submenu by @eti0 in #1319 fix(linux): keep transparent overlay painting on WebKitGTK 2.54 by @xilec in #2360 New Contributors @henderson-01 made their first contribution in #2206 @B-Galati made their first contribution in #2212 @maurild14 made their first contribution in #2227 @johnjheejin made their first contribution in #2235 @rnmrnmrnmrnmrnmrnm made their first contribution in #2344 @haroon0x made their first contribution in #2348 @Bl0ck154 made their first contribution in #2367 @utpalsinghdev made their first contribution in #2327 @mattdoran made their first contribution in #1991 @aasmall made their first contribution in #1300 @Huge made their first contribution in #2199 @eti0 made their first contribution in #1319 Full Changelog: v0.9.8...v0.10.0

Performance and Compatibility

Handy is built using Rust and Tauri, with a React and TypeScript interface. Audio processing and speech recognition are handled locally through its underlying transcription libraries.

Performance depends primarily on the selected model and available hardware.

Whisper can use GPU acceleration when supported, while Parakeet V3 is designed to work efficiently on CPUs. This makes Handy accessible to users without dedicated graphics cards, although larger models generally require more processing resources.

The application is lightweight compared with full-featured voice assistants because it concentrates on one main task: converting speech into text.

There are some platform-specific limitations worth considering:

• Windows: Supports x64 and ARM64 releases, with microphone access and global shortcut support.

• macOS: Supports Intel and Apple silicon Macs. Microphone and Accessibility permissions are required for normal operation.

• Linux: Supports x64 and ARM64 distributions, but text insertion may require additional utilities such as xdotool, wtype, or dotool, depending on the desktop environment.

Handy is not intended to replace professional audio transcription suites with advanced speaker identification, subtitle editing, or transcription management. Its strength is quick, direct dictation into existing applications.

System Requirements

Handy's requirements depend on the selected speech recognition model.

• Windows: Compatible with supported 64-bit Windows systems, including x64 and ARM64 builds.

• macOS: Supports Intel and Apple silicon Macs.

• Linux: Supports x64 and ARM64 environments.

• Whisper: Can use compatible Intel, AMD, or NVIDIA hardware, with GPU acceleration when available.

• Parakeet V3: CPU-only operation is supported, with Intel Skylake or equivalent AMD processors recommended.

• Storage: Additional space is required for downloaded speech recognition models.

• Permissions: Microphone access is required, along with appropriate permissions or system utilities for text insertion.

For users with limited hardware, Parakeet V3 or a smaller Whisper model is a reasonable starting point.

Pros and Cons

Pros

• Completely free and open-source under the MIT License.

• Runs speech recognition locally without requiring cloud transcription.

• Inserts transcribed text directly into almost any active text field.

• Supports Whisper and Parakeet speech recognition models.

• Supports multilingual transcription through Whisper.

• Parakeet V3 provides CPU-based processing and automatic language detection.

• Configurable keyboard shortcuts and push-to-talk controls.

• Uses Silero for voice activity detection.

• Optional AI post-processing for improving transcripts.

• Available for Windows, macOS, and Linux.

• Does not require an account or subscription for basic functionality.

Cons

• Transcription speed depends on hardware and model selection.

• Larger Whisper models require more processing resources.

• Linux users may need additional packages for reliable text insertion.

• Some optional post-processing features require external AI services.

• Does not provide a full transcription editor or advanced audio-management tools.

• Requires manual model downloads before offline transcription can begin.

How to Install

1. Visit the official Handy website.

2. Download the installer for Windows, macOS, or Linux.

3. Install the application using the downloaded package.

4. Launch Handy and grant microphone permissions.

5. Grant Accessibility permissions on macOS when requested.

6. Select a speech recognition model, such as Whisper or Parakeet V3.

7. Wait for the model download to finish.

8. Configure your preferred keyboard shortcut and recording mode.

9. Open any application with a text field.

10. Press the shortcut, speak, and finish recording to insert the transcription.

Linux users should check the installation documentation for additional text-input dependencies and display-server compatibility.

Final Verdict

Handy is an excellent lightweight speech-to-text application for users who want convenient voice typing without depending on cloud transcription services. Its ability to insert text directly into existing applications makes it more practical than traditional transcription tools for everyday writing.

Support for Whisper and Parakeet provides flexibility across different languages and hardware configurations. The local processing approach is another major advantage for privacy-conscious users, while its open-source MIT license makes the project accessible to developers who want to inspect, modify, or extend the software.

Its main limitations are the lack of advanced transcription management features and some platform-specific setup requirements, particularly on Linux. Optional AI post-processing also requires additional configuration and may involve external services.

Handy is highly recommended for anyone looking for free, private, and convenient offline voice typing. Its focused design, cross-platform support, and local AI transcription make it a useful everyday productivity tool.

Free

Download

Software Informations:
Developer:
CJ Pais
Operating System:
Windows / Linux / macOS
Date Added:
2026-11-03T12:07:25.558Z

OpenClaw v2026.10.10

OpenClaw, formerly known as Clawd Bot, stands out as one of the most exciting open-source personal AI assistants available in 2026. This powerful tool brings advanced AI capabilities directly into your daily messaging apps, letting you chat with a smart assistant that actually gets things done. Whether you want to manage emails, write code, or stay organized across platforms, OpenClaw delivers a seamless experience while keeping your data under your control.

What Is OpenClaw?

OpenClaw is an open-source, self-hosted AI personal assistant that runs on your own devices or a cloud server. Created by developer Peter Steinberger, it first gained massive attention under the name Clawd Bot before rebranding to OpenClaw on January 27, 2026. The name change came after Anthropic raised trademark concerns related to similarities with their Claude AI model. The shift to OpenClaw symbolizes growth and adaptation, much like a lobster molting its shell to grow bigger and stronger.

The project exploded in popularity thanks to its innovative approach. It integrates deeply with the messaging apps you already use every day, turning them into a gateway for interacting with advanced AI. With over 30,000 GitHub stars, a thriving Discord community of thousands, and contributions from hundreds of developers, OpenClaw has quickly become a favorite among tech enthusiasts and productivity seekers.

Download OpenClaw v2026.10.10 - Software Mirrors
OpenClaw v2026.10.10 for macOS OpenClaw-2026.10.10.zip | 739.55 MB OpenClaw-2026.10.10.dmg | 554.38 MB OpenClaw-2026.10.10-x86_64.zip | 467.12 MB OpenClaw-2026.10.10-x86_64.dmg | 360.68 MB OpenClaw-2026.10.10-arm64.zip | 441.77 MB OpenClaw-2026.10.10-arm64.dmg | 326.9 MB
OpenClaw v2026.10.10 for Linux OpenClaw-2026.10.10-amd64.deb | 61.13 MB OpenClaw-2026.10.10-amd64.AppImage | 179.34 MB
OpenClaw v2026.10.10 Source Code OpenClaw v2026.10.10 Source code (zip) OpenClaw v2026.10.10 Source code (tar.gz)
OpenClaw v2026.10.10 Release Notes: OpenClaw v2026.10.10 4,825 commits · 3,028 pull requests · 454 contributors Changes included in this release The release notes and changelog contain the same content, presented in two formats: Release notes — formatted for people. Changelog — plain Markdown for AI agents and tools. 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@deepujain @demos-ra @desksk @dh-js @Dhotei @diegoln @digitalfrost84 @dineshsuthar123 @diregoblin @dmorn @dmsrg399 @DonnieFi @DrDanielSingleton @drewjocham @dsantoreis @dtump @duardor968 @duyufansh2008 @dwalthour @dwc1997 @dwty11 @eightHundreds @eiriktorheim @eleqtrizit @eli-pavlov @eliavb43 @elikampf @Embracex1998 @EmeraldPi @EndeavorPioneer @engagepy @enki @ensignwesley @ericcaiwx-star @ericcurtin @erlightbourn-source @etzelm @EvolveAegis @exGeni @exisz @ExoHumann @fanmeng-felix @fbuechler @fede-kamel @feiniaoivp @fhgffy @forrystudio @franssauermann @freeqaz @fuller-stack-dev @funnysubaru @gdpu11 @geekforlife @giodl73 @giodl73-repo @git-larry-roots @gkoch02 @Glukmann @GoldArowana @gorkem2020 @goslingmanagment @gregbond @Grynn @hamedshehab @hannesrudolph @hannnnn-l @harjothkhara @harshitgavita-07 @Hawk5150 @Hawkeye2611 @hbgangcn1 @Heighte @hengtested-design @HerbertHuerto @HeZ2z @hidaba @hippoley @holgergruenhagen @homeworld520 @Honghe @hoobnn @HootRock @htuyer121 @hugenshen @husodrn46 @HussonT @imadal1n @IndySweeney @Iolaum @Irish-Joseph @itanyplus @IWhatsskill @jackylecalvez2 @jacobtomlinson @jaisummagithub @jalehman @jamesachurchill @JamesY023 @jamiezigelbaum @jason-allen-oneal @JasonBuildAI @jaxonparrott @jayswu @jb510 @Jeehut @jewseppi @JFLeonM @Jimmy-xuzimo @jimmy00415 @jimmypuckett @jjgao @jjjhenriksen @jlapenna @johan-eilertsen @jonathanlindsay @jondihaynes @joshavant @joshpetras @jsf9789 @julianloperar @karaaslanz @KarimVKarmali @keiseisales @KenYounge @keshavbotagent @KhanCold @Kimiyu-186 @kir1ll @kiranvk-2011 @kitiyeung @kobihikri @kqtxmaster-boop @KrasimirKralev @krell11 @kseczhouyb @L4XB @lakemike @lator57-gif @leapdragon @legend91019 @Leon-SK668 @libaojiang @licheer-zte @LindalyX-Lee @Links2008 @Linux2010 @LinzeShi @lisandromachado @LiuwqGit @liuyu1984 @ljluestc @lkanowski @LLagoon3 @llmsommelier @loading2332 @lonexreb @lqsyyy @lucthaobybgkw3232-eng @ly85206559 @m888m @MagMueller @maliv2 @MarMarLabs @Marvinthebored @masatohoshino @mattkanwisher @maximilien @maximilliangrand @mcaxtr @mcfex @mezotv @mgonto @michaelrobertexp-source @migelizaga-rgb @mikasa0818 @Mike-MWT @mike-nott @ml12580 @mmhzlrj @MoerAI @MonkeyLeeT @montrellcruse @moonbow0407 @mushuiyu886 @mwbroxson @n0mad-ai @n572770 @namest504 @Navras98 @NianJiuZst @nierob-cmd @nikolay-bratanov @nikosml @nina-grech @njuboy11 @nkeil @nocodet888-arch @noelillinger @notlakshitha @NOVA-Openclaw @nv-kasikritc @nxmxbbd @obviyus @oEdyb @Oldrich333 @Olli0103 @ooiuuii @oshaughnessy-junior @OWWZO @oywino @papakpmartin @Patrick-Erichsen @PatrickTrent @paulcam206 @PaulClawitzki @PaulD-LeWagon @pbreault @peach980 @Peetiegonzalez @personaltrainerkoichan @petergaultney @Phillis @Piyushrathoree @pkinjo @pmochine @PollyBot13 @potoior @potterdigital @PratikRai0101 @pstarkgit @qingminglong @quqi1599 @qwexs @qxr666-sga @RaphazZze @Raymondriter @rboy1 @rdbartram @residentb2b @resinoftree97 @rh7 @Ricardodpalmeida @RileyJJY @rjdotdev @rmoskal @Robbie-Microsoft @Rocuts @Roddmason @rogerallen1 @rogeriochaves @RomneyDa @rozenpl @rsdancey @rudycelekli @ruel225 @ruiling-smartbear @ruirui666888 @rvelasquez @RXQ6 @ryan-dyer-sp @s3d1K0 @SabaTech-dev @sagebhardt @salad-maker @saladinyao-cyber @sallyom @SanderHelgesen @sasan1200 @SBC2016 @SC-10749 @sdamian @SeanLiu326 @SebTardif @Sedrak-Hovhannisyan @sercada @serg0x @service-cyber @sesgoe @Shagrat2 @shakkernerd @shannon0430 @Shenrui-Ma @shojikumaru @Simon2256928 @skyzhao1223 @snotty @sobolevbel @Solvely-Colin @stackingrockss @steipete @Stronggenetics @sukhdeepjohar @sunlit-deng @SunnyShu0925 @synthalorian @syxscott @szafranski @Takhoffman @technicalpickles @TheAngryPit @tianhaotian @TommyLei666 @TomSchuman @tre1d @TUARAN @Twilight-Networks @UlisesGascon @umeranjum17 @Uraroga @usimic @VACInc @valkyriweb @Veda-openclaw @veritasaiflows-cell @viernesmybot @vildevev @vincentkoc @vinsew @vishnusenthil-16 @vishwanathmuthuraman @vixenclawsastraagent @vmbbz @vobornik @von8794 @vyctorbrzezowski @wangbaobisheng @wangjx-xydt @wangmiao0668000666 @wangyan2026 @warezio @waynegault @woohahahaaa @wpu911 @wr-web @wtom @wynxo @xiajiahang @xialonglee @xiaopan-xydt @xili-ytl @xilopaint @xpeng5278-web @xx1170822819 @xydigitLybnnnn @xydt-juyaohui @xyrolle @YangManBOBO @yashas-13 @yasuhito @yeager @yetval @Yigtwxx @YiWang24 @ylcn91 @Yolo521-bot @yousan @yoyo837 @yozakura-ava @yozu @ysumatta @Yun-0000 @YuriyPopovDev @ywjanewer @zabealbe @zekth @ZengWen-DT @zhangguiping-xydt @zhupeng0o0 @zhuyankarl @zori7 @zrzavywa Release verification npm package: https://www.npmjs.com/package/openclaw/v/2026.10.10 registry tarball: https://registry.npmjs.org/openclaw/-/openclaw-2026.10.10.tgz integrity: sha512-9HZhzq/Yck3uH3M/iYP7szqoF5JXpXfz0+orhBOKalSH+dj0IC9uWPECkR1vH4lMCytxpHjJKHh9efXRYMJl6w== release SHA: 7dc3350cb9f08fcf9a0af5c4845a20d5b2f1a8be full release CI report: https://github.com/openclaw/releases/blob/main/evidence/2026.10.10/release-evidence.md release publish: https://github.com/openclaw/openclaw/actions/runs/41569351595 npm preflight: https://github.com/openclaw/openclaw/actions/runs/41512333658 full release validation: https://github.com/openclaw/openclaw/actions/runs/41511143467 plugin npm publish: https://github.com/openclaw/openclaw/actions/runs/41570168905 plugin ClawHub submission: https://github.com/openclaw/openclaw/actions/runs/41570173947; public finalization and exact artifact verification follow terminal release-parent completion plugin ClawHub bootstrap: not needed OpenClaw npm publish: https://github.com/openclaw/openclaw/actions/runs/41563297199/attempts/1 npm Telegram beta E2E: not supplied Android APK: skipped — apps/android/version.json is 2026.8.2, release train is 2026.10.10; run pnpm android:version:pin -- --from-gateway before the next tag.

Key Features of OpenClaw

OpenClaw goes far beyond simple chat responses. It acts as an active agent that can handle real tasks, remember context across sessions, and even reach out to you proactively.

Here are some of its standout features:

• Multi-channel support: Connects to WhatsApp, Telegram, Discord, Slack, Signal, iMessage, Microsoft Teams, Matrix, Google Chat, and more. You get one unified conversation that persists no matter which app you use.

• Proactive assistance: Unlike passive chatbots, OpenClaw can send you messages first with reminders, alerts, morning briefings, or updates when something important happens.

• Persistent memory: It remembers everything from past interactions, so you never have to repeat context when picking up unfinished work.

• Powerful integrations: Links to tools for email management (like Gmail triage, drafting replies, or unsubscribing), code editing in IDEs, calendar handling, and custom skills you can build or download.

• Voice and text input: Send voice notes on supported apps for transcription and processing, with more audio features in development.

• Self-hosted privacy: Run it locally on your Mac, Linux machine, or a cloud droplet. Your data stays with you instead of feeding into big cloud AI services.

• Easy onboarding: The CLI wizard (openclaw onboard) guides you through setup, including daemon installation for always-on access.

Developers love using it for coding tasks, where it can fix tests, generate full-stack features, or compile research notes. Everyday users appreciate inbox zero automation, smart replies, and consolidated messaging from multiple platforms.

How to Get Started with OpenClaw

One-liner

#for macOS/linux
curl -fsSL https://openclaw.ai/install.sh | bash

#for Windows
powershell -c "irm https://openclaw.ai/install.ps1 | iex"

npm

npm i -g openclaw

openclaw onboard

pnpm

pnpm add -g openclaw

openclaw onboard

Download DMG file for macOS

Download OpenClaw Windows Hub

Many run it on a home machine for privacy or on a cheap cloud server for 24/7 access. Once live, add OpenClaw as a contact in WhatsApp or invite the bot to your Discord server, then start chatting.

OpenClaw represents the next step in personal AI. It combines large language model smarts with real-world action, persistent context, and deep system access in a way few tools do. You get an assistant that lives in your existing apps, handles routine tasks autonomously, and evolves with community contributions.

If you value privacy, customization, and true productivity boosts, OpenClaw deserves a spot in your workflow. Head to the official site at https://openclaw.ai/, check the docs at https://docs.openclaw.ai/, or join the active Discord to see what others are building. The future of personal AI assistants looks a lot like OpenClaw, and it's already here for anyone ready to self-host it.

Free

Download

Software Informations:
Developer:
Peter Steinberger & community
Operating System:
MacOS / Windows / Linux
Date Added:
2026-11-03T11:45:37.219Z