Comparison
WhisperLive vs awesome-whisper
Verdict
Pick WhisperLive if whisperLive offers nearly real-time speech transcription based on OpenAI's Whisper model across multiple hardware-accelerated backends; pick awesome-whisper if awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools.
Markdown twin · WhisperLive alternatives · awesome-whisper alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | WhisperLive | awesome-whisper |
|---|---|---|
| Maintenance | Very active (1d since push) As of 3w · github_public_v1 | Slowing (134d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- WhisperLive
- A nearly-live implementation of OpenAI's Whisper for real-time voice recognition
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- WhisperLive
- 4.2k
- awesome-whisper
- 2.4k
Forks
- WhisperLive
- 574
- awesome-whisper
- 156
Open issues
- WhisperLive
- 37
- awesome-whisper
- 7
Language
- WhisperLive
- Python
- awesome-whisper
- -
Adopt for
- WhisperLive
- WhisperLive offers nearly real-time speech transcription based on OpenAI's Whisper model across multiple hardware-accelerated backends.
- awesome-whisper
- awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools.
Persona
- WhisperLive
- -
- awesome-whisper
- -
Runtime
- WhisperLive
- -
- awesome-whisper
- -
License
- WhisperLive
- MIT
- awesome-whisper
- CC0-1.0
Last pushed
- WhisperLive
- Jul 27, 2026
- awesome-whisper
- Mar 17, 2026
Categories
- WhisperLive
- Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Maintenance
- WhisperLive
- Very active (96%)
- awesome-whisper
- Slowing (36%)
Days since push
- WhisperLive
- 1d
- awesome-whisper
- 134d
Open issues (now)
- WhisperLive
- 37
- awesome-whisper
- 7
Owner type
- WhisperLive
- Organization
- awesome-whisper
- User
Full report
- WhisperLive
- Trust report
- awesome-whisper
- Trust report
Choose WhisperLive if…
- License: WhisperLive is MIT, awesome-whisper is CC0-1.0.
- Requirements: Min 4 GB RAM; Requires Docker; PortAudio system dependency required.; Requires Python 3.12 environment and virtual environments.
- Tags unique to WhisperLive: dictation, text-to-speech, translation, voice-recognition.
- When you require low-latency voice recognition and can leverage high-performance GPUs or OpenVINO for significant speedups.
When NOT to use WhisperLive
- Avoid using WhisperLive if the project lacks necessary hardware acceleration via TensorRT, OpenVINO, or is deployed on environments not compatible with Docker configurations.
- Do not choose WhisperLive if a Windows-only solution is required, as its setup instructions are tailored for Linux and macOS.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, WhisperLive is MIT.
- Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai.
- When seeking curated information on Whisper variants optimized for various platforms and languages
When NOT to use awesome-whisper
- If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem
- In cases where the focus is on using pre-integrated solutions without the need for model customization
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (collabora/WhisperLive) · observed Jul 29, 2026
- GitHub forks (collabora/WhisperLive) · observed Jul 29, 2026
- Last push (collabora/WhisperLive) · observed Jul 27, 2026
- License file (MIT) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome-whisper) · observed Jul 30, 2026
- GitHub forks (sindresorhus/awesome-whisper) · observed Jul 30, 2026
- Last push (sindresorhus/awesome-whisper) · observed Mar 17, 2026
- License file (CC0-1.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: WhisperLive 4.2k · awesome-whisper 2.4k (synced Jul 29, 2026).
Common questions
- What is the difference between WhisperLive and awesome-whisper?
- WhisperLive: A nearly-live implementation of OpenAI's Whisper for real-time voice recognition. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose WhisperLive over awesome-whisper?
- Choose WhisperLive over awesome-whisper when License: WhisperLive is MIT, awesome-whisper is CC0-1.0; Requirements: Min 4 GB RAM; Requires Docker; PortAudio system dependency required.; Requires Python 3.12 environment and virtual environments; Tags unique to WhisperLive: dictation, text-to-speech, translation, voice-recognition; When you require low-latency voice recognition and can leverage high-performance GPUs or OpenVINO for significant speedups.
- When should I choose awesome-whisper over WhisperLive?
- Choose awesome-whisper over WhisperLive when License: awesome-whisper is CC0-1.0, WhisperLive is MIT; Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai; When seeking curated information on Whisper variants optimized for various platforms and languages.
- When should I avoid WhisperLive?
- Avoid using WhisperLive if the project lacks necessary hardware acceleration via TensorRT, OpenVINO, or is deployed on environments not compatible with Docker configurations. Do not choose WhisperLive if a Windows-only solution is required, as its setup instructions are tailored for Linux and macOS.
- When should I avoid awesome-whisper?
- If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem In cases where the focus is on using pre-integrated solutions without the need for model customization
- Is WhisperLive or awesome-whisper more popular on GitHub?
- WhisperLive has more GitHub stars (4,190 vs 2,361). Stars measure visibility, not whether either tool fits your constraints.
- Are WhisperLive and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (WhisperLive: MIT, awesome-whisper: CC0-1.0).
- Where can I find alternatives to WhisperLive or awesome-whisper?
- GraphCanon lists graph-backed alternatives at WhisperLive alternatives and awesome-whisper alternatives (WhisperLive markdown twin, awesome-whisper markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, WhisperLive or awesome-whisper?
- WhisperLive: Very active. awesome-whisper: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for WhisperLive and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: WhisperLive trust report; awesome-whisper trust report.