Comparison
whisper vs awesome-whisper
Verdict
Pick whisper if whisper is a speech recognition model that uses large-scale weak supervision to transcribe audio to text with high accuracy; 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 alternatives · awesome-whisper alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | whisper | awesome-whisper |
|---|---|---|
| Maintenance | Active (17d since push) As of Sep 18, 2026 · github_public_v1 | Very active (3d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- Robust Speech Recognition via Large-Scale Weak Supervision
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- whisper
- 109k
- awesome-whisper
- 2.4k
Forks
- whisper
- 13k
- awesome-whisper
- 180
Open issues
- whisper
- 149
- awesome-whisper
- 7
Language
- whisper
- Python
- awesome-whisper
- -
Adopt for
- whisper
- Whisper is a speech recognition model that uses large-scale weak supervision to transcribe audio to text with high accuracy.
- 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
- -
- awesome-whisper
- -
Runtime
- whisper
- -
- awesome-whisper
- -
License
- whisper
- Whisper is released under the MIT License, allowing for broad use and modification.
- awesome-whisper
- CC0-1.0
Last pushed
- whisper
- Aug 31, 2026
- awesome-whisper
- Sep 17, 2026
Categories
- whisper
- Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Maintenance
- whisper
- Active (82%)
- awesome-whisper
- Very active (96%)
Days since push
- whisper
- 17d
- awesome-whisper
- 3d
Open issues (now)
- whisper
- 149
- awesome-whisper
- 7
Stars delta
- whisper
- +2.6k (30d)
- awesome-whisper
- +25 (30d)
Open issues delta
- whisper
- +14 (30d)
- awesome-whisper
- 0 (30d)
Owner type
- whisper
- Organization
- awesome-whisper
- User
OSV dependency advisories
- whisper
- No published findings from this source as of 2026-09-18
- awesome-whisper
- No lockfile (source not queried)
Full report
- whisper
- Trust report
- awesome-whisper
- Trust report
Choose whisper if…
- License: whisper is MIT, awesome-whisper is CC0-1.0.
- Requirements: Whisper requires Python and specific dependencies for running the model..
- Tags unique to whisper: audio transcription, mit license, python, speech recognition.
- When you need a tool that leverages large-scale weak supervision for robust speech recognition.
When NOT to use whisper
- If your project requires real-time speech recognition, as Whisper may not be optimized for low-latency applications.
- When you need a tool that supports a wide range of languages beyond those covered by Whisper's model.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, whisper 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 (openai/whisper) · observed Sep 20, 2026
- GitHub forks (openai/whisper) · observed Sep 20, 2026
- Last push (openai/whisper) · observed Aug 31, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (sindresorhus/awesome-whisper) · observed Sep 20, 2026
- GitHub forks (sindresorhus/awesome-whisper) · observed Sep 20, 2026
- Last push (sindresorhus/awesome-whisper) · observed Sep 17, 2026
- License file (CC0-1.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: whisper 109k · awesome-whisper 2.4k (synced Sep 20, 2026).
Common questions
- What is the difference between whisper and awesome-whisper?
- whisper: Robust Speech Recognition via Large-Scale Weak Supervision. 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 over awesome-whisper?
- Choose whisper over awesome-whisper when License: whisper is MIT, awesome-whisper is CC0-1.0; Requirements: Whisper requires Python and specific dependencies for running the model.; Tags unique to whisper: audio transcription, mit license, python, speech recognition; When you need a tool that leverages large-scale weak supervision for robust speech recognition.
- When should I choose awesome-whisper over whisper?
- Choose awesome-whisper over whisper when License: awesome-whisper is CC0-1.0, whisper 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 whisper?
- If your project requires real-time speech recognition, as Whisper may not be optimized for low-latency applications. When you need a tool that supports a wide range of languages beyond those covered by Whisper's model.
- 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 or awesome-whisper more popular on GitHub?
- whisper has more GitHub stars (109,313 vs 2,386). Stars measure visibility, not whether either tool fits your constraints.
- Are whisper and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (whisper: MIT, awesome-whisper: CC0-1.0).
- Where can I find alternatives to whisper or awesome-whisper?
- GraphCanon lists graph-backed alternatives at whisper alternatives and awesome-whisper alternatives (whisper 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 or awesome-whisper?
- whisper: Active. awesome-whisper: Very active. 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 and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whisper trust report; awesome-whisper trust report.