Comparison
whisper-diarization vs awesome-whisper
Verdict
Pick whisper-diarization if automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects; 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 · whisper-diarization alternatives · awesome-whisper alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | whisper-diarization | awesome-whisper |
|---|---|---|
| Maintenance | Slowing (156d since push) As of 2w · github_public_v1 | Slowing (134d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 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
- whisper-diarization
- Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- whisper-diarization
- 5.6k
- awesome-whisper
- 2.4k
Forks
- whisper-diarization
- 503
- awesome-whisper
- 156
Open issues
- whisper-diarization
- 41
- awesome-whisper
- 7
Language
- whisper-diarization
- Jupyter Notebook
- awesome-whisper
- -
Adopt for
- whisper-diarization
- Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects
- 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
- whisper-diarization
- -
- awesome-whisper
- -
Runtime
- whisper-diarization
- -
- awesome-whisper
- -
License
- whisper-diarization
- BSD-2-Clause
- awesome-whisper
- CC0-1.0
Last pushed
- whisper-diarization
- Feb 23, 2026
- awesome-whisper
- Mar 17, 2026
Categories
- whisper-diarization
- Developer Tools, Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Days since push
- whisper-diarization
- 156d
- awesome-whisper
- 134d
Open issues (now)
- whisper-diarization
- 41
- awesome-whisper
- 7
OSV dependency advisories
- whisper-diarization
- No published findings from this source as of 2026-07-11
- awesome-whisper
- No lockfile (source not queried)
Full report
- whisper-diarization
- Trust report
- awesome-whisper
- Trust report
Choose whisper-diarization if…
- License: whisper-diarization is BSD-2-Clause, awesome-whisper is CC0-1.0.
- Tags unique to whisper-diarization: asr, speaker-diarization, speech-recognition, whisper.
- Also covers Developer Tools.
- You need advanced speech recognition capabilities paired with speaker diarization in your Python project.
When NOT to use whisper-diarization
- If your project is restricted to use only open-source tools under the MIT license, as whisper-diarization uses the BSD-2-Clause license.
- Your environment cannot support Python 3.10 or later or you lack prerequisites such as Cython and FFMPEG installation rights.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, whisper-diarization is BSD-2-Clause.
- 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 (MahmoudAshraf97/whisper-diarization) · observed Jul 30, 2026
- GitHub forks (MahmoudAshraf97/whisper-diarization) · observed Jul 30, 2026
- Last push (MahmoudAshraf97/whisper-diarization) · observed Feb 23, 2026
- License file (BSD-2-Clause) · observed Jul 30, 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: whisper-diarization 5.6k · awesome-whisper 2.4k (synced Jul 30, 2026).
Common questions
- What is the difference between whisper-diarization and awesome-whisper?
- whisper-diarization: Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose whisper-diarization over awesome-whisper?
- Choose whisper-diarization over awesome-whisper when License: whisper-diarization is BSD-2-Clause, awesome-whisper is CC0-1.0; Tags unique to whisper-diarization: asr, speaker-diarization, speech-recognition, whisper; Also covers Developer Tools; You need advanced speech recognition capabilities paired with speaker diarization in your Python project.
- When should I choose awesome-whisper over whisper-diarization?
- Choose awesome-whisper over whisper-diarization when License: awesome-whisper is CC0-1.0, whisper-diarization is BSD-2-Clause; 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 whisper-diarization?
- If your project is restricted to use only open-source tools under the MIT license, as whisper-diarization uses the BSD-2-Clause license. Your environment cannot support Python 3.10 or later or you lack prerequisites such as Cython and FFMPEG installation rights.
- 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 whisper-diarization or awesome-whisper more popular on GitHub?
- whisper-diarization has more GitHub stars (5,615 vs 2,361). Stars measure visibility, not whether either tool fits your constraints.
- Are whisper-diarization and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (whisper-diarization: BSD-2-Clause, awesome-whisper: CC0-1.0).
- Where can I find alternatives to whisper-diarization or awesome-whisper?
- GraphCanon lists graph-backed alternatives at whisper-diarization alternatives and awesome-whisper alternatives (whisper-diarization 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, whisper-diarization or awesome-whisper?
- whisper-diarization: Slowing. 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 whisper-diarization and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whisper-diarization trust report; awesome-whisper trust report.