Comparison
awesome-whisper vs whisper-ctranslate2
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 whisper-ctranslate2 if whisper-ctranslate2 provides a GPU-accelerated Docker-based command-line interface for Whisper speech recognition models with easy file input.
Markdown twin · awesome-whisper alternatives · whisper-ctranslate2 alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | awesome-whisper | whisper-ctranslate2 |
|---|---|---|
| Maintenance | Slowing (134d since push) As of 3w · github_public_v1 | Slowing (165d 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
- whisper-ctranslate2
- Whisper command-line client compatible with original OpenAI client based on CTranslate2
Stars
- awesome-whisper
- 2.4k
- whisper-ctranslate2
- 1.3k
Forks
- awesome-whisper
- 156
- whisper-ctranslate2
- 128
Open issues
- awesome-whisper
- 7
- whisper-ctranslate2
- 13
Language
- awesome-whisper
- -
- whisper-ctranslate2
- 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.
- whisper-ctranslate2
- Whisper-ctranslate2 provides a GPU-accelerated Docker-based command-line interface for Whisper speech recognition models with easy file input.
Persona
- awesome-whisper
- -
- whisper-ctranslate2
- -
Runtime
- awesome-whisper
- -
- whisper-ctranslate2
- -
License
- awesome-whisper
- CC0-1.0
- whisper-ctranslate2
- MIT
Last pushed
- awesome-whisper
- Mar 17, 2026
- whisper-ctranslate2
- Feb 14, 2026
Categories
- awesome-whisper
- Speech & Audio
- whisper-ctranslate2
- Speech & Audio
Trust and health
Days since push
- awesome-whisper
- 134d
- whisper-ctranslate2
- 165d
Open issues (now)
- awesome-whisper
- 7
- whisper-ctranslate2
- 13
Owner type
- awesome-whisper
- User
- whisper-ctranslate2
- Organization
OSV dependency advisories
- awesome-whisper
- No lockfile (source not queried)
- whisper-ctranslate2
- No published findings from this source as of 2026-07-11
Full report
- awesome-whisper
- Trust report
- whisper-ctranslate2
- Trust report
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, whisper-ctranslate2 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 whisper-ctranslate2 if…
- License: whisper-ctranslate2 is MIT, awesome-whisper is CC0-1.0.
- Tags unique to whisper-ctranslate2: ctranslate2, docker, speech-recognition, whisper.
- whisper-ctranslate2 ships Docker support for self-hosted deployment.
- Require Whisper model compatibility in a preconfigured Docker container
When NOT to use whisper-ctranslate2
- Seeking non-Dockerized tool or do not want to use containers
- Do not have access to a GPU and need better CPU performance options
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 (Softcatala/whisper-ctranslate2) · observed Jul 30, 2026
- GitHub forks (Softcatala/whisper-ctranslate2) · observed Jul 30, 2026
- Last push (Softcatala/whisper-ctranslate2) · observed Feb 14, 2026
- License file (MIT) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-whisper 2.4k · whisper-ctranslate2 1.3k (synced Jul 30, 2026).
Common questions
- What is the difference between awesome-whisper and whisper-ctranslate2?
- awesome-whisper: Curated resources for Whisper speech recognition system. whisper-ctranslate2: Whisper command-line client compatible with original OpenAI client based on CTranslate2. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-whisper over whisper-ctranslate2?
- Choose awesome-whisper over whisper-ctranslate2 when License: awesome-whisper is CC0-1.0, whisper-ctranslate2 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 whisper-ctranslate2 over awesome-whisper?
- Choose whisper-ctranslate2 over awesome-whisper when License: whisper-ctranslate2 is MIT, awesome-whisper is CC0-1.0; Tags unique to whisper-ctranslate2: ctranslate2, docker, speech-recognition, whisper; whisper-ctranslate2 ships Docker support for self-hosted deployment; Require Whisper model compatibility in a preconfigured Docker container.
- 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 whisper-ctranslate2?
- Seeking non-Dockerized tool or do not want to use containers Do not have access to a GPU and need better CPU performance options
- Is awesome-whisper or whisper-ctranslate2 more popular on GitHub?
- awesome-whisper has more GitHub stars (2,361 vs 1,333). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-whisper and whisper-ctranslate2 open source?
- Yes - both are open-source projects on GitHub (awesome-whisper: CC0-1.0, whisper-ctranslate2: MIT).
- Where can I find alternatives to awesome-whisper or whisper-ctranslate2?
- GraphCanon lists graph-backed alternatives at awesome-whisper alternatives and whisper-ctranslate2 alternatives (awesome-whisper markdown twin, whisper-ctranslate2 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 whisper-ctranslate2?
- awesome-whisper: Slowing. whisper-ctranslate2: 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 whisper-ctranslate2?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-whisper trust report; whisper-ctranslate2 trust report.