Comparison
whisper-timestamped vs awesome-whisper
Verdict
Pick whisper-timestamped if whisper-timestamped is a Python library that extends OpenAI's Whisper model with word-level timestamps and confidence scoring; 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-timestamped alternatives · awesome-whisper alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | whisper-timestamped | awesome-whisper |
|---|---|---|
| Maintenance | Slowing (324d 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 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-timestamped
- Multilingual Automatic Speech Recognition with word-level timestamps and confidence
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- whisper-timestamped
- 2.8k
- awesome-whisper
- 2.4k
Forks
- whisper-timestamped
- 212
- awesome-whisper
- 156
Open issues
- whisper-timestamped
- 49
- awesome-whisper
- 7
Language
- whisper-timestamped
- Python
- awesome-whisper
- -
Adopt for
- whisper-timestamped
- whisper-timestamped is a Python library that extends OpenAI's Whisper model with word-level timestamps and confidence scoring.
- 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-timestamped
- -
- awesome-whisper
- -
Runtime
- whisper-timestamped
- -
- awesome-whisper
- -
License
- whisper-timestamped
- AGPL-3.0
- awesome-whisper
- CC0-1.0
Last pushed
- whisper-timestamped
- Sep 9, 2025
- awesome-whisper
- Mar 17, 2026
Categories
- whisper-timestamped
- Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Days since push
- whisper-timestamped
- 324d
- awesome-whisper
- 134d
Open issues (now)
- whisper-timestamped
- 49
- awesome-whisper
- 7
Owner type
- whisper-timestamped
- Organization
- awesome-whisper
- User
OSV dependency advisories
- whisper-timestamped
- No published findings from this source as of 2026-07-11
- awesome-whisper
- No lockfile (source not queried)
Full report
- whisper-timestamped
- Trust report
- awesome-whisper
- Trust report
Choose whisper-timestamped if…
- License: whisper-timestamped is AGPL-3.0, awesome-whisper is CC0-1.0.
- Tags unique to whisper-timestamped: asr, attention-mechanism, deep-learning, multilingual-models.
- whisper-timestamped ships Docker support for self-hosted deployment.
- When you need precise timestamping for each spoken word in speech recognition output.
When NOT to use whisper-timestamped
- Avoid if your project requires minimal dependencies or a smaller footprint, as it includes several external libraries like matplotlib and transformers.
- Not suitable for real-time applications where low latency is crucial due to the additional overhead of timestamp generation and confidence scoring.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, whisper-timestamped is AGPL-3.0.
- 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 (linto-ai/whisper-timestamped) · observed Jul 30, 2026
- GitHub forks (linto-ai/whisper-timestamped) · observed Jul 30, 2026
- Last push (linto-ai/whisper-timestamped) · observed Sep 9, 2025
- License file (AGPL-3.0) · 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-timestamped 2.8k · awesome-whisper 2.4k (synced Jul 30, 2026).
Common questions
- What is the difference between whisper-timestamped and awesome-whisper?
- whisper-timestamped: Multilingual Automatic Speech Recognition with word-level timestamps and confidence. 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-timestamped over awesome-whisper?
- Choose whisper-timestamped over awesome-whisper when License: whisper-timestamped is AGPL-3.0, awesome-whisper is CC0-1.0; Tags unique to whisper-timestamped: asr, attention-mechanism, deep-learning, multilingual-models; whisper-timestamped ships Docker support for self-hosted deployment; When you need precise timestamping for each spoken word in speech recognition output.
- When should I choose awesome-whisper over whisper-timestamped?
- Choose awesome-whisper over whisper-timestamped when License: awesome-whisper is CC0-1.0, whisper-timestamped is AGPL-3.0; 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-timestamped?
- Avoid if your project requires minimal dependencies or a smaller footprint, as it includes several external libraries like matplotlib and transformers. Not suitable for real-time applications where low latency is crucial due to the additional overhead of timestamp generation and confidence scoring.
- 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-timestamped or awesome-whisper more popular on GitHub?
- whisper-timestamped has more GitHub stars (2,832 vs 2,361). Stars measure visibility, not whether either tool fits your constraints.
- Are whisper-timestamped and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (whisper-timestamped: AGPL-3.0, awesome-whisper: CC0-1.0).
- Where can I find alternatives to whisper-timestamped or awesome-whisper?
- GraphCanon lists graph-backed alternatives at whisper-timestamped alternatives and awesome-whisper alternatives (whisper-timestamped 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-timestamped or awesome-whisper?
- whisper-timestamped: 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-timestamped and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whisper-timestamped trust report; awesome-whisper trust report.