Comparison
awesome-whisper vs faster-whisper
Verdict
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; pick faster-whisper if a package for faster speech-to-text transcription based on the Whisper model, using CTranslate2.
Markdown twin · awesome-whisper alternatives · faster-whisper alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | awesome-whisper | faster-whisper |
|---|---|---|
| Maintenance | Slowing (134d since push) As of 3w · github_public_v1 | Slowing (255d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- awesome-whisper
- Curated resources for Whisper speech recognition system
- faster-whisper
- Faster Whisper transcription with CTranslate2
Stars
- awesome-whisper
- 2.4k
- faster-whisper
- 25k
Forks
- awesome-whisper
- 156
- faster-whisper
- 2.0k
Open issues
- awesome-whisper
- 7
- faster-whisper
- 315
Language
- awesome-whisper
- -
- faster-whisper
- Python
Adopt for
- 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.
- faster-whisper
- A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2.
Persona
- awesome-whisper
- -
- faster-whisper
- -
Runtime
- awesome-whisper
- -
- faster-whisper
- -
License
- awesome-whisper
- CC0-1.0
- faster-whisper
- MIT
Last pushed
- awesome-whisper
- Mar 17, 2026
- faster-whisper
- Nov 19, 2025
Categories
- awesome-whisper
- Speech & Audio
- faster-whisper
- Inference & Serving, Speech & Audio
Trust and health
Days since push
- awesome-whisper
- 134d
- faster-whisper
- 255d
Open issues (now)
- awesome-whisper
- 7
- faster-whisper
- 315
Owner type
- awesome-whisper
- User
- faster-whisper
- Organization
OSV dependency advisories
- awesome-whisper
- No lockfile (source not queried)
- faster-whisper
- No published findings from this source as of 2026-07-11
Full report
- awesome-whisper
- Trust report
- faster-whisper
- Trust report
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, faster-whisper is MIT.
- Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, transcription.
- 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
Choose faster-whisper if…
- License: faster-whisper is MIT, awesome-whisper is CC0-1.0.
- Requirements: Requires Python 3.9 or higher.
- Tags unique to faster-whisper: deep-learning, inference, quantization, speech-recognition.
- Also covers Inference & Serving.
- A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2.
When NOT to use faster-whisper
- * When needing to employ FFmpeg directly for audio processing as it does not require FFmpeg installation and relies instead on PyAV.
- * In environments where additional dependencies from PyAV may introduce complexity or issues.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (SYSTRAN/faster-whisper) · observed Aug 2, 2026
- GitHub forks (SYSTRAN/faster-whisper) · observed Aug 2, 2026
- Last push (SYSTRAN/faster-whisper) · observed Nov 19, 2025
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-whisper 2.4k · faster-whisper 25k (synced Jul 30, 2026).
Common questions
- What is the difference between awesome-whisper and faster-whisper?
- awesome-whisper: Curated resources for Whisper speech recognition system. faster-whisper: Faster Whisper transcription with CTranslate2. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-whisper over faster-whisper?
- Choose awesome-whisper over faster-whisper when License: awesome-whisper is CC0-1.0, faster-whisper is MIT; Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, transcription; When seeking curated information on Whisper variants optimized for various platforms and languages.
- When should I choose faster-whisper over awesome-whisper?
- Choose faster-whisper over awesome-whisper when License: faster-whisper is MIT, awesome-whisper is CC0-1.0; Requirements: Requires Python 3.9 or higher; Tags unique to faster-whisper: deep-learning, inference, quantization, speech-recognition; Also covers Inference & Serving; A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2.
- 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
- When should I avoid faster-whisper?
- * When needing to employ FFmpeg directly for audio processing as it does not require FFmpeg installation and relies instead on PyAV. * In environments where additional dependencies from PyAV may introduce complexity or issues.
- Is awesome-whisper or faster-whisper more popular on GitHub?
- faster-whisper has more GitHub stars (24,689 vs 2,361). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-whisper and faster-whisper open source?
- Yes - both are open-source projects on GitHub (awesome-whisper: CC0-1.0, faster-whisper: MIT).
- Where can I find alternatives to awesome-whisper or faster-whisper?
- GraphCanon lists graph-backed alternatives at awesome-whisper alternatives and faster-whisper alternatives (awesome-whisper markdown twin, faster-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, awesome-whisper or faster-whisper?
- awesome-whisper: Slowing. faster-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 awesome-whisper and faster-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-whisper trust report; faster-whisper trust report.