whisrs

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Voice for the Linux desktop: dictation, read-aloud (TTS), and voice-driven LLM commands, with Groq, OpenAI, Deepgram, and local Whisper backends

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Latest release
0.2.0 ·

About

From the project README ·

            _     _
 __      __| |__ (_)___  _ __ ___
 \ \ /\ / /| '_ \| / __|| '__/ __|
  \ V  V / | | | | \__ \| |  \__ \
   \_/\_/  |_| |_|_|___/|_|  |___/

  speak. type. done.

Voice for the Linux desktop, written in Rust: dictation, read-aloud, and voice-driven LLM commands.

Speech-to-text for Wayland, X11, Hyprland, Sway, Niri, GNOME, and KDE. Press a hotkey, speak, and your words appear at the cursor, in any app, any window manager, any desktop environment. Select text and whisrs reads it aloud (text-to-speech via Groq, OpenAI, Deepgram, or a local sidecar). Or say what you want and an LLM writes it at your cursor, or talk to a coding agent: Claude Code, OpenCode, Codex or GitHub Copilot works on it and answers out loud. Supports cloud transcription (Groq, Deepgram, OpenAI) and fully offline local transcription via whisper.cpp. Fast, private, open source. Record your mic and the system audio too: both become one timestamped Markdown transcript, kept in its own folder.

whisrs demo: dictation, read aloud, and command mode


Read the full README

Why whisrs?

Dictation tools like Wispr Flow and Superwhisper are not available on Linux. whisrs fills that gap natively: a single Rust daemon with layout-aware keyboard injection (AltGr and dead keys included), per-compositor window tracking, and pluggable backends. What started as a dictation tool has grown into a voice layer for the whole desktop: speech in (dictation, voice commands), speech out (read any selection aloud), one hotkey each.


Installation

Quick install (Linux x86_64 / aarch64)
curl -sSL https://y0sif.github.io/whisrs/install.sh | bash

The install script downloads the latest prebuilt tarball, installs whisrs/whisrsd to /usr/local/bin, and runs interactive setup.

Pin a specific version with WHISRS_VERSION=v0.1.10 or use the cloud-only minimal build with WHISRS_MINIMAL=1. Re-run the same command later to upgrade.

To build from source instead (including custom feature flag combos or unsupported architectures), use cargo install whisrs --locked or the whisrs-git AUR package.

After install, press your hotkey to start recording, press again to stop. Text appears at your cursor.

GPU acceleration (local whisper.cpp)

Prebuilt tarballs run whisper.cpp on the CPU. Building with a GPU feature (cargo install whisrs --features vulkan, or cuda / hipblas) moves the model onto your GPU and cuts dictation latency from seconds to near-instant. It needs the toolkit's development packages, not just the GPU driver; see docs/gpu-acceleration.md for per-distro packages, how to verify the build, and the systemd pitfall when upgrading an existing install.

Other install methods (pre-built binary, AUR, Cargo, Nix, manual)

Pre-built binary (manual)

The Quick install above already does this; this section is for users who want to install the tarball by hand.

Each tagged release publishes tarballs on GitHub Releases with both whisrs and whisrsd plus the contrib files (udev rule, systemd unit, man pages).

# Pick the artifact for your arch + variant:
ARCH=x86_64   # or aarch64
curl -sSL -o whisrs.tar.gz https://github.com/y0sif/whisrs/releases/latest/download/whisrs-linux-${ARCH}.tar.gz

# Or the minimal build (cloud backends only, no whisper.cpp; keeps tray, overlay, recordings and MCP):
# curl -sSL -o whisrs.tar.gz https://github.com/y0sif/whisrs/releases/latest/download/whisrs-linux-${ARCH}-minimal.tar.gz

tar xzf whisrs.tar.gz
sudo install -m755 whisrs whisrsd /usr/local/bin/
sudo install -m644 contrib/99-whisrs.rules /etc/udev/rules.d/
# On NixOS/Guix, point the rule's ACL fallback at your setfacl:
# command -v setfacl >/dev/null && sudo sed -i "s|/usr/bin/setfacl|$(command -v setfacl)|g" /etc/udev/rules.d/99-whisrs.rules
sudo udevadm control --reload-rules && sudo udevadm trigger
sudo usermod -aG input $USER   # log out / back in for the group change
whisrs setup
VariantArchitecturesIncludes local whisper.cpp
whisrs-linux-{x86_64,aarch64}.tar.gzx86_64, aarch64yes (full build)
whisrs-linux-{x86_64,aarch64}-minimal.tar.gzx86_64, aarch64no (cloud backends only)
Arch Linux (AUR)
yay -S whisrs-bin    # prebuilt release binaries, tracks tagged versions

whisrs-bin installs the same tarball as the Quick install above, so upgrades follow releases and there is no Rust toolchain or whisper.cpp build. To build from source and follow main instead, use yay -S whisrs-git — it rebuilds on every upstream commit and needs cargo, clang and cmake.

After install, run whisrs setup to configure your backend, API keys, permissions, and keybindings.

Cargo
cargo install whisrs

Requires system dependencies: alsa-lib, libxkbcommon, clang, cmake.

After install, run whisrs setup.

Nix
nix profile install github:y0sif/whisrs

Or add to your flake inputs:

inputs.whisrs.url = "github:y0sif/whisrs";
Manual install
1. Dependencies
# Arch Linux
sudo pacman -S base-devel alsa-lib libxkbcommon clang cmake

# Debian/Ubuntu
sudo apt install build-essential libasound2-dev libxkbcommon-dev libclang-dev cmake

# Fedora
sudo dnf install gcc-c++ alsa-lib-devel libxkbcommon-devel clang-devel cmake
2. Build
git clone https://github.com/y0sif/whisrs
cd whisrs
cargo install --path .
3. Setup
whisrs setup

Setup is a full-screen wizard, one step at a time: the backend, its API key (t tests it, sending no audio) or a whisper.cpp model to download (Enter downloads it and goes on), the language, a live microphone meter, extras and the typing backend, then the optional modes, each asked first (Set it up or Skip; s skips one midway too): recording, command mode, read aloud (t says a sample with the voice picked) and Jarvis (one coding agent, added beside the ones you have). It then writes the answers into config.toml, changing only the keys it asked about (a skipped mode's stay as they are, and Start fresh keeps the file's API keys) and keeping the old file as config.toml.bak, and checks uinput permissions, the user service and a compositor keybinding, fixing each with a keypress (sudo asks in the plain terminal). Answers are picked from a list wherever whisrs can list the values (keys, URLs and tokens are typed): Space opens one, Enter goes on, Backspace goes back. It needs an interactive terminal.

Setup detects your init system and installs the matching service: a systemd user unit from contrib/whisrs.service, or an OpenRC user service from contrib/openrc/. To install by hand instead:

systemd

install -Dm644 contrib/whisrs.service ~/.config/systemd/user/whisrs.service
# systemd ignores your shell's PATH, so point ExecStart at the installed binary
# (required for ~/.cargo/bin; harmless for /usr/bin and /usr/local/bin):
sed -i "s|^ExecStart=.*|ExecStart=$(command -v whisrsd)|" ~/.config/systemd/user/whisrs.service
systemctl --user enable --now whisrs.service

OpenRC (user mode, OpenRC >= 0.55)

install -Dm755 contrib/openrc/whisrs.initd ~/.config/rc/init.d/whisrs
install -Dm644 contrib/openrc/whisrs.confd ~/.config/rc/conf.d/whisrs
rc-update --user add whisrs default
rc-service --user whisrs start

Tunables live in ~/.config/rc/conf.d/whisrs. Logs go to ~/.local/state/whisrs/whisrsd.log rather than a journal.

4. Bind a hotkey

Example for Hyprland (~/.config/hypr/hyprland.conf):

bind = $mainMod, W, exec, whisrs toggle

Example for Sway (~/.config/sway/config):

bindsym $mod+w exec whisrs toggle

Transcription Backends

BackendTypeStreamingCostBest for
GroqCloudBatchFree tier availableGetting started, budget use
Deepgram StreamingCloud (WebSocket)True streaming$200 free creditStreaming with free credits
Deepgram RESTCloudBatch$200 free creditSimple, 60+ languages
OpenAI RealtimeCloud (WebSocket)True streamingPaidBest UX, text as you speak
OpenAI RESTCloudBatchPaidSimple fallback
OpenAI-compatible RealtimeExternal WebSocketCompleted-utterance realtimeFree / self-hostedLemonade and similar OpenAI-style ASR servers
Local whisper.cppLocal (CPU/GPU)Silence-split phrasesFreePrivacy, offline use
ASR sidecarLocal sidecar or any OpenAI-compatible endpointBatchFreeBring-your-own ASR (Moonshine, Parakeet, VibeVoice-ASR, LiteLLM, Speaches, …)

Groq is the default. For fully offline use, run whisrs setup, pick local-whisper, and pick a model to download: base.en (148 MB, ~388 MB RAM) is recommended; tiny.en (78 MB) for low-end hardware, small.en (488 MB) for higher accuracy.

Local whisper.cpp streams by splitting dictation into phrases at natural pauses and decoding each phrase exactly once; for local models without a Rust runtime (Moonshine, NVIDIA Parakeet, VibeVoice-ASR) the ASR sidecar backend talks to a small local HTTP service (ready-to-run recipes in contrib/asr-sidecars/), and its OpenAI /v1/audio/transcriptions wire format also drives any OpenAI-compatible endpoint (LiteLLM, Speaches, your own server). External realtime servers that speak the OpenAI Realtime event model over WebSocket (Lemonade is the first supported profile) use backend = "openai-compatible-realtime". Details for all three: docs/configuration.md.


Configuration

Config file: ~/.config/whisrs/config.toml; whisrs setup writes a working file. A minimal example:

[general]
backend = "groq"   # groq | deepgram-streaming | deepgram | openai-realtime | openai | openai-compatible-realtime | local-whisper | asr-sidecar
language = "en"    # ISO 639-1 or "auto"
overlay = false    # on-screen recording overlay

[groq]
api_key = "gsk_..."

Env-var overrides: WHISRS_GROQ_API_KEY, WHISRS_DEEPGRAM_API_KEY, WHISRS_OPENAI_API_KEY, WHISRS_ASR_SIDECAR_API_KEY.

For the full reference (overlay, [input], [tts], [llm], [hotkeys], [hooks], backend sections, GNOME extension setup), see docs/configuration.md.

Profiles

A profile holds only what differs from config.toml, in ~/.config/whisrs/profiles/<name>.toml:

# ~/.config/whisrs/profiles/offline.toml
[general]
backend = "local-whisper"

whisrs profile offline switches to it (the daemon checks it loads, then restarts on it), whisrs profile base switches back, and whisrs profile next (or a [hotkeys] next_profile key, or the tray's Profile menu) goes to the next one. whisrs config's Profiles screen does the same, makes and deletes profiles, and edits one in Config, each row tagged with whose value it is. API keys, [hotkeys], [[llm_commands]], [[agents]] and [recording] dir stay in config.toml. Details: docs/configuration.md.


CLI Commands

whisrs setup     # Onboarding wizard (TUI): backend, key or model download, mic, service, keybinding
whisrs config    # Full-screen editor (TUI) for ~/.config/whisrs/config.toml: values picked from lists or stepped; a save restarts the daemon when it is idle. Esc goes to Home, which opens Setup, Config, a Mic test (a live level meter and a quality line: speech level, background, SNR; its w saves only [audio] device), Recordings (list, preview and transcript; retry, copy, name a speaker, summarize, delete), Profiles (switch, new, delete; l edits a profile in Config, w writing only its file) and History (what dictation typed; C clears it, asking first)
whisrs toggle    # Start/stop dictation (uses general.language)
whisrs toggle -l en  # Start/stop dictation, overriding the language for this session
whisrs cancel    # Cancel dictation, discard audio
whisrs status    # Query daemon state (on a terminal, also the config profile when one is active)
whisrs profile   # List config profiles (~/.config/whisrs/profiles/<name>.toml); whisrs profile offline | next | base switches
whisrs restart   # Restart the daemon (uses the systemd or OpenRC user service when present)
whisrs command   # Command mode: select text + speak instruction → LLM rewrite
whisrs llm-command <name>      # Toggle a named [[llm_commands]] entry (see config.toml)
whisrs llm-command-set <name>  # Reprogram a named LLM command from the current selection
whisrs speak     # Read the selected text aloud (alias: whisrs read; press again to stop)
whisrs speak --text "Hi"       # Speak the given text (--text - reads stdin)
whisrs agent jarvis            # Talk to a coding agent (see [[agents]]); --text, --new, --reset, --stop; no name lists them
whisrs recording start -t "Standup"   # Record mic + system audio; stop | toggle | cancel | status
whisrs recording show last            # Print the latest recording's transcript (list | path | copy | retry)
whisrs recording summarize last       # Summarize a transcript with the [llm] (or [recording] summary = true for each)
whisrs recording delete 2026-10-27    # Delete a recording for good, by its id or a unique prefix (asks first; --yes off a terminal)
whisrs mcp                            # Read-only MCP server (stdio) for agents: claude mcp add whisrs -- whisrs mcp
whisrs log       # Show recent transcription history
whisrs log -n 5  # Show last 5 entries
whisrs log --clear  # Clear all history
whisrs transcribe-recovery  # Transcribe the audio a failed dictation saved (newest, or a file in ~/.cache/whisrs/recovery/); prints it, copies it, removes the file
Per-language keys

toggle accepts --language/-l <CODE> (ISO 639-1, or auto) to override general.language for that one session, with no config edit or daemon restart. Bind a separate key per language to dictate in each without switching settings:

bind = , F1, exec, whisrs toggle -l en   # Hyprland
bind = , F2, exec, whisrs toggle -l pl
Voice + LLM

Three ways to put an LLM between your voice and the cursor, all sharing the one [llm] section (any OpenAI-compatible /chat/completions endpoint works, including a local LM Studio / Ollama / llama.cpp server):

  • whisrs command: select text, speak an instruction ("make this formal"), and the selection is rewritten in place.
  • [[llm_commands]]: a named instruction on its own hotkey. Dictate, the LLM applies it, the result is typed. A generic entry turns speech into artifacts: say "the command to install steam on arch" and sudo pacman -S steam lands at your cursor.
  • [general] llm_post_process: the same rewrite applied to every dictation on the normal toggle key, no extra binding.

llm_post_process works with batch backends only (deepgram, groq, openai, asr-sidecar). Streaming backends (including local-whisper) type text as it arrives, so no whole transcript ever exists to post-process and the flag is a silent no-op; whisrsd warns at startup if you pair them. Use an [[llm_commands]] hotkey instead, which works whatever the backend.

If the LLM call fails, times out, or returns nothing, the raw transcript is typed instead, so a dictation is never lost to post-processing. Post-processed entries show up in whisrs log tagged <backend>+llm. Full reference: docs/configuration.md.

Voice + coding agent

An [[agents]] entry gives a coding agent its own hotkey. Press it, say what you want, press again: whisrs sends it to a Claude Code background session (or, with harness = "opencode", an OpenCode session; with harness = "codex", a Codex CLI session; with harness = "copilot", a GitHub Copilot CLI session, where each turn uses your Copilot plan's usage (AI credits, or premium requests on the legacy billing platform); Codex and Copilot were tested against a local mock model only) in the agent's directory and goes back to dictation. When the turn ends, you hear a short spoken reply (through [tts]), and the next press continues the same session, so answering the agent's question is one press. Press it while a reply plays to cut in; while that agent is still working, a press only silences its own reply.

[[agents]]
name = "jarvis"
hotkey = "Super+Shift+J"
dir = "~/Projects/whisrs"
permissions = "auto"   # auto | bypass | ask
feedback = "brief"     # summary | brief | conversational

While it works, a small overlay in a screen corner ([agent_overlay], an orb or a face) shows each agent listening, working, waiting for your approval or speaking, with what it does ("Running a command") and for how long. feedback sets what you hear before the reply: nothing (summary), a short "On it." (brief, the default), or that and short updates at milestones (conversational).

whisrs agent lists the agents and what they are doing; whisrs agent jarvis --text "..." sends a typed turn, and whisrs agent jarvis --new (or an optional new_session_hotkey) records one that starts a fresh session. Sessions are named whisrs-<name> (in claude agents, or OpenCode's session list; Codex's and Copilot's are known by their id, which whisrs agent shows), and whisrs never touches a session it did not start. Setup and details: Agent mode.

Drive the TUI with an agent

whisrs config and whisrs setup publish their screens to an AI agent through taria: install the bridge (cargo install taria-mcp), register it (for Claude Code, claude mcp add taria -- taria-mcp --app whisrs) and the agent reads each screen's rows, values and state, and acts on them with the keys a person presses there. Typed text goes only into an input or a picker's filter, never into the key bindings. Nothing is served until a bridge connects; the socket is $XDG_RUNTIME_DIR/taria/whisrs.sock (0600), or $TARIA_SOCK. Three things stay with the person at the keyboard: typing an API key, e ($EDITOR), and setup's sudo step for /dev/uinput.


Supported Environments

ComponentSupport
HyprlandTested by maintainer and community (Arch Linux)
Sway / i3Implemented; additional reports welcome
NiriImplemented; tested by contributor on Niri 26.04 (CachyOS)
X11 (any WM)Tested by community on Ubuntu 24.04 (Xorg)
GNOME WaylandTested by community on Ubuntu 24.04 and Arch (mutter); overlay via the bundled GNOME Shell extension
KDE WaylandImplemented via D-Bus; reports welcome
AudioALSA default input (follows the PipeWire/PulseAudio default source via pipewire-alsa/pulseaudio-alsa), or a specific PipeWire/PulseAudio source or ALSA device via [audio] device
DistrosConfirmed on Arch Linux and Ubuntu 24.04; any Linux with the system dependencies above

Note: whisrs is daily-driven on Hyprland (Arch Linux), with community confirmation on GNOME Wayland (Ubuntu 24.04 + Arch), Xorg (Ubuntu 24.04), and Niri (CachyOS). Sway, i3, and KDE reports are still wanted; if you use whisrs there, please open an issue with what works and what doesn't.


Project Status

whisrs is functional and daily-driven. Streaming transcription, command mode, read-selection-aloud (TTS via Groq, OpenAI, Deepgram, or a local sidecar), LLM post-processing and named voice commands, multi-language support, system tray, OSD overlay, layout-aware injection (incl. AltGr + dead keys), the generic ASR sidecar backend, and packaging for AUR / Nix / crates.io all ship today. Native local Vosk and Parakeet backends are next.

Per-release details: docs/version-roadmap.md.


Troubleshooting

See docs/troubleshooting.md for the full list. The two issues that come up most:

  • Garbled output / wrong characters on non-US layouts: whisrs auto-detects your XKB layout (compositor → setxkbmap → localectl → env vars) and falls back to US/QWERTY when all of those fail. How to fix the detection.
  • Hotkeys fire on physical key positions, not layout characters: intentional; the listener reads raw evdev events before any XKB translation, like every evdev-based hotkey tool. On non-US layouts, pick triggers by their QWERTY position. Details.

Contributing

The biggest way to help right now:

  1. Test on your compositor: Sway, i3, KDE, GNOME. Report what works and what doesn't.
  2. Test on your distro: Ubuntu, Fedora, NixOS, etc. Build issues, missing deps, etc.
  3. Bug reports: if text goes to the wrong window, characters get dropped, or audio doesn't capture, open an issue.

See CONTRIBUTING.md for development setup and project structure.


How whisrs Compares

FAQ


License

MIT

Runs on
CUDA, Vulkan
What shows it
  • CUDA: whisrs feature cuda
  • Vulkan: whisrs feature vulkan
Native code
Required
  • Binds native code: alsa-sys, mac-notification-sys, wayland-sys (feature overlay), whisper-rs-sys (feature local-whisper)
Python bindings
No Python binding crate found
License
MIT

Compare with similar projects

Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.

whisrs beside the projects that share a topic with it
ProjectDownloadsDependentsStarsLatest releaseRuns on (GPU)Native codeLicense
whisrs This page App Listed

Voice for the Linux desktop: dictation, read-aloud (TTS), and voice-driven LLM commands, with Groq, OpenAI, Deepgram, and local Whisper backends

61 binary downloads per release Not applicable 149 0.2.0 CUDA, Vulkan Binds native code: alsa-sys, mac-notification-sys, wayland-sys (feature overlay), whisper-rs-sys (feature local-whisper) MIT
webrtc-vad Listed Dormant

Rust interface for the WebRTC Voice-Activity-Detction Module

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mel_spec Listed

Mel spectrograms aligned to the results from the whisper.cpp, pytorch and librosa reference implementations and suited to streaming audio.

26,437 downloads over 30 days 6 91 0.5.0 CUDA, WebGPU Binds native code: ort-sys (feature ort-tensor). Build uses a native toolchain: cc MIT
any-tts Listed

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3,404 downloads over 30 days 2 23 0.2.0 CUDA, Metal No native code found Apache-2.0 OR MIT

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0 downloads over 30 days 0 101 0.1.1 CUDA Binds native code: torch-sys (feature tch-backend). Build uses a native toolchain: cmake Apache-2.0
voxr New

Audio and speech on boostr: compressed-audio decode, resampling, DSP and grapheme to phoneme, with speech synthesis (Kokoro, VITS), voice cloning (VoxCPM2), transcription with word timings (Whisper), voice activity (Silero) and audio-text scoring (CLAP), on CPU or CUDA.

642 downloads over 30 days 2 2 0.9.1 CUDA No native code found Apache-2.0
Why ListedNo archive, New or Featured rule places it, so it is Listed.

What it lacks for Featured

  • The check holds no value for Homebrew installs on request over 365 days, Repology repository families, Docker pull growth over 90 days. A gate that lacks its signal does not pass.

What else the check found

  • The last activity is on 8 Nov 2026, 1 day ago. The rules expect an update within 365 days. Dormancy rule

Not measured: Homebrew installs on request over 365 days, Repology repository families, Docker pull growth over 90 days.

Exact rules: Listed, Featured app. The check on applied thresholds version 9.

Every rule outcome, as the check records it
  • expected-interval: app: E = 365 days
  • dormancy: last activity 2026-11-08, 1 days ago, E = 365: active
  • featured: not featured: unknown homebrew_on_request_365d, repology_families, docker_pull_growth_90d
  • listed: listed: no archive, new or featured rule applies
Crates6 crates

Measurements and sources

Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.

Sources6 sources
Adoption61 binary downloads per release4 not measured
Adoption measurements
SignalValueSourceFetchedCounts
Active dependentsNot measuredYes
New dependents (365 days)Not measuredYes
Peak active dependentsNot measuredYes
Active dependents as a share of the peakNot measuredYes
Binary downloads per release61GitHub releasesYes
MaintenanceLatest human commit: 1 day ago4 not measured
Maintenance measurements
SignalValueSourceFetchedCounts
Latest human commit2026-11-08GitHub repositoryYes
Latest release2026-10-31GitHub releasesYes
First release2026-03-15crates.io database dumpYes
Latest version0.2.0crates.io database dumpNo
Days the oldest outside issue waits for a reply0GitHub repositoryYes
Maintainer replies over 365 days32GitHub repositoryYes
Repository archivedfalseGitHub repositoryYes
Repository gonefalseGitHub repositoryYes
Release commit or manifest in the repotruecrates.io packageNo
Published docsNot measuredYes
Latest release fails cargo checkNot measuredYes
Build check dateNot measuredYes
Build check toolchainNot measuredYes
SecurityNot measured
Security measurements
SignalValueSourceFetchedCounts
Unpatched vulnerabilities past the grace windowNot measuredYes
RustSec unmaintained advisoryNot measuredYes
Deprecation noticeNot measuredYes
Deprecated requirementNot measuredYes
Distribution33 releases, 103 downloads over 30 days6 not measured
Distribution measurements
SignalValueSourceFetchedCounts
Releases33crates.io database dumpNo
Downloads over 30 days103crates.io database dumpNo
Binary downloads over the last 3 releases183GitHub releasesYes
Homebrew installs on request over 365 daysNot measuredYes
Repology repository familiesNot measuredYes
Docker pull growth over 90 daysNot measuredYes
Docker pulls at the growth baselineNot measuredYes
Every version a prereleasefalsecrates.io database dumpYes
Every version 0.0.xfalsecrates.io database dumpYes
Every version yankedNot measuredYes
Crate deleted from crates.ioNot measuredYes
Repository149 stars, 43 forks, 18 contributors, 632 commits. Stars alone never qualify a project.
Repository measurements
SignalValueSourceFetchedCounts
GitHub stars149GitHub repositoryYes — one part of the repository route
GitHub forks43GitHub repositoryYes — one part of the repository route
Contributors with a GitHub account18GitHub contributorsYes — one part of the repository route
Commits on the default branch632GitHub repositoryNo
Repository's main crate left out of the entrynonecrates.io database dumpYes
Facts that never count
Facts that never count measurements
SignalValueSourceFetchedCounts
LicenseMITcrates.io database dumpNo
Runs on, from listed crates and their direct dependenciesCUDA, Vulkancrates.io database dumpNo
What shows each backendCUDA: whisrs feature cuda; Vulkan: whisrs feature vulkancrates.io database dumpNo
Native code, from listed crates and their dependenciesBinds native code: alsa-sys, mac-notification-sys, wayland-sys (feature overlay), whisper-rs-sys (feature local-whisper)crates.io database dumpNo
Python bindings, from direct dependencies of listed cratesNo Python binding crate foundcrates.io database dumpNo
Crates that depend on a listed crate directlyNot measuredNo

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