Home/Compare/whisper-timestamped vs awesome-whisper

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 Sep 20, 2026

12views this month

whisper-timestamped logo

whisper-timestamped

linto-ai/whisper-timestamped

★ 2.8kpushed Aug 17, 2026
vs
awesome-whisper logo

awesome-whisper

sindresorhus/awesome-whisper

★ 2.4kpushed Sep 17, 2026

Trust & integrity

Signalwhisper-timestampedawesome-whisper
Maintenance
Steady (34d since push)
As of Sep 20, 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 20, 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 2026-07-11
As of Jul 11, 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-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
209
awesome-whisper
180

Open issues

whisper-timestamped
48
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
Aug 17, 2026
awesome-whisper
Sep 17, 2026

Categories

whisper-timestamped
Speech & Audio
awesome-whisper
Speech & Audio

Trust and health

Maintenance

whisper-timestamped
Steady (60%)
awesome-whisper
Very active (96%)

Days since push

whisper-timestamped
34d
awesome-whisper
3d

Open issues (now)

whisper-timestamped
48
awesome-whisper
7

Stars delta

whisper-timestamped
+13 (30d)
awesome-whisper
+25 (30d)

Open issues delta

whisper-timestamped
-1 (30d)
awesome-whisper
0 (30d)

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 on cards: whisper-timestamped 2.8k · awesome-whisper 2.4k (synced Sep 20, 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 (2,845 vs 2,386). 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: Steady. 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-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.

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