Comparison
whisperX vs awesome-whisper
Verdict
Pick whisperX if whisperX is an Automatic Speech Recognition tool that provides ASR with word-level timestamps and speaker identification using Python; 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 · whisperX alternatives · awesome-whisper alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | whisperX | awesome-whisper |
|---|---|---|
| Maintenance | Active (20d 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 · Personal 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 lockfile (source not queried) 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
- whisperX
- WhisperX for automatic speech recognition with word-level timestamps and diarization
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- whisperX
- 24k
- awesome-whisper
- 2.4k
Forks
- whisperX
- 2.4k
- awesome-whisper
- 180
Open issues
- whisperX
- 223
- awesome-whisper
- 7
Language
- whisperX
- Python
- awesome-whisper
- -
Adopt for
- whisperX
- WhisperX is an Automatic Speech Recognition tool that provides ASR with word-level timestamps and speaker identification using Python.
- 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
- whisperX
- -
- awesome-whisper
- -
Runtime
- whisperX
- -
- awesome-whisper
- -
License
- whisperX
- BSD-2-Clause
- awesome-whisper
- CC0-1.0
Last pushed
- whisperX
- Aug 30, 2026
- awesome-whisper
- Sep 17, 2026
Categories
- whisperX
- Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Maintenance
- whisperX
- Active (82%)
- awesome-whisper
- Very active (96%)
Days since push
- whisperX
- 20d
- awesome-whisper
- 3d
Open issues (now)
- whisperX
- 223
- awesome-whisper
- 7
Stars delta
- whisperX
- +807 (30d)
- awesome-whisper
- +25 (30d)
Open issues delta
- whisperX
- +16 (30d)
- awesome-whisper
- 0 (30d)
Full report
- whisperX
- Trust report
- awesome-whisper
- Trust report
Choose whisperX if…
- License: whisperX is BSD-2-Clause, awesome-whisper is CC0-1.0.
- Tags unique to whisperX: asr, speech, speech recognition, whisper.
- When you need precise automatic speech recognition (ASR) with word-level timestamps for accurate transcription and synchronization needs.
When NOT to use whisperX
- Avoid WhisperX if you require a lightweight solution as it may necessitate additional installations like CUDA and ffmpeg.
- Do not use this tool if your environment is constrained to CPU-only operations without access to the required GPU acceleration libraries, as performance limitations could be significant.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, whisperX 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 (m-bain/whisperX) · observed Sep 20, 2026
- GitHub forks (m-bain/whisperX) · observed Sep 20, 2026
- Last push (m-bain/whisperX) · observed Aug 30, 2026
- License file (BSD-2-Clause) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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: whisperX 24k · awesome-whisper 2.4k (synced Sep 20, 2026).
Common questions
- What is the difference between whisperX and awesome-whisper?
- whisperX: WhisperX for automatic speech recognition with word-level timestamps and diarization. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose whisperX over awesome-whisper?
- Choose whisperX over awesome-whisper when License: whisperX is BSD-2-Clause, awesome-whisper is CC0-1.0; Tags unique to whisperX: asr, speech, speech recognition, whisper; When you need precise automatic speech recognition (ASR) with word-level timestamps for accurate transcription and synchronization needs.
- When should I choose awesome-whisper over whisperX?
- Choose awesome-whisper over whisperX when License: awesome-whisper is CC0-1.0, whisperX 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 whisperX?
- Avoid WhisperX if you require a lightweight solution as it may necessitate additional installations like CUDA and ffmpeg. Do not use this tool if your environment is constrained to CPU-only operations without access to the required GPU acceleration libraries, as performance limitations could be significant.
- 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 whisperX or awesome-whisper more popular on GitHub?
- whisperX has more GitHub stars (24,136 vs 2,386). Stars measure visibility, not whether either tool fits your constraints.
- Are whisperX and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (whisperX: BSD-2-Clause, awesome-whisper: CC0-1.0).
- Where can I find alternatives to whisperX or awesome-whisper?
- GraphCanon lists graph-backed alternatives at whisperX alternatives and awesome-whisper alternatives (whisperX 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, whisperX or awesome-whisper?
- whisperX: 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 whisperX and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whisperX trust report; awesome-whisper trust report.