Comparison
whishper vs awesome-whisper
Verdict
Pick whishper if whishper is an open-source audio transcription and subtitling suite with a web UI that supports both GPU and CPU for local transcription; 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 · whishper alternatives · awesome-whisper alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | whishper | awesome-whisper |
|---|---|---|
| Maintenance | Slowing (348d since push) As of 3w · github_public_v1 | Slowing (134d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- whishper
- Open-source local audio transcription and subtitling suite with web UI
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- whishper
- 3.0k
- awesome-whisper
- 2.4k
Forks
- whishper
- 179
- awesome-whisper
- 156
Open issues
- whishper
- 108
- awesome-whisper
- 7
Language
- whishper
- Svelte
- awesome-whisper
- -
Adopt for
- whishper
- Whishper is an open-source audio transcription and subtitling suite with a web UI that supports both GPU and CPU for local transcription.
- 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
- whishper
- -
- awesome-whisper
- -
Runtime
- whishper
- -
- awesome-whisper
- -
License
- whishper
- Whishper uses the AGPL-3.0 license, requiring users who modify and deploy the software in a network service to make their changes available under the same license.
- awesome-whisper
- CC0-1.0
Last pushed
- whishper
- Aug 15, 2025
- awesome-whisper
- Mar 17, 2026
Categories
- whishper
- Developer Tools, Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Days since push
- whishper
- 348d
- awesome-whisper
- 134d
Open issues (now)
- whishper
- 108
- awesome-whisper
- 7
Full report
- whishper
- Trust report
- awesome-whisper
- Trust report
Choose whishper if…
- License: whishper is AGPL-3.0, awesome-whisper is CC0-1.0.
- Pricing: Free, open-source solution that does not charge for usage or require payment plans..
- Requirements: Min 4 GB RAM; Requires Docker; Supports both GPU and CPU for processing.; NVIDIA GPU is optional..
- Tags unique to whishper: audio-to-text, golang, speech-recognition, subtitles.
- Also covers Developer Tools.
- whishper ships Docker support for self-hosted deployment.
- When you need to transcribe media files locally without sending data to external servers, ensuring privacy.
When NOT to use whishper
- When real-time transcription accuracy outweighs local processing needs, because while faster on CPU, it may not offer the same level of immediate precision as cloud-based solutions.
- If your project is resource-constrained, especially in terms of development time and effort required for setup since Whishper involves a few manual steps to start using.
- When direct audio input from web browsers is necessary because this feature is pending implementation.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, whishper 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 (pluja/whishper) · observed Jul 30, 2026
- GitHub forks (pluja/whishper) · observed Jul 30, 2026
- Last push (pluja/whishper) · observed Aug 15, 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: whishper 3.0k · awesome-whisper 2.4k (synced Jul 30, 2026).
Common questions
- What is the difference between whishper and awesome-whisper?
- whishper: Open-source local audio transcription and subtitling suite with web UI. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose whishper over awesome-whisper?
- Choose whishper over awesome-whisper when License: whishper is AGPL-3.0, awesome-whisper is CC0-1.0; Pricing: Free, open-source solution that does not charge for usage or require payment plans.; Requirements: Min 4 GB RAM; Requires Docker; Supports both GPU and CPU for processing.; NVIDIA GPU is optional.; Tags unique to whishper: audio-to-text, golang, speech-recognition, subtitles; Also covers Developer Tools; whishper ships Docker support for self-hosted deployment; When you need to transcribe media files locally without sending data to external servers, ensuring privacy.
- When should I choose awesome-whisper over whishper?
- Choose awesome-whisper over whishper when License: awesome-whisper is CC0-1.0, whishper 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 whishper?
- When real-time transcription accuracy outweighs local processing needs, because while faster on CPU, it may not offer the same level of immediate precision as cloud-based solutions. If your project is resource-constrained, especially in terms of development time and effort required for setup since Whishper involves a few manual steps to start using. When direct audio input from web browsers is necessary because this feature is pending implementation.
- 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 whishper or awesome-whisper more popular on GitHub?
- whishper has more GitHub stars (3,048 vs 2,361). Stars measure visibility, not whether either tool fits your constraints.
- Are whishper and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (whishper: AGPL-3.0, awesome-whisper: CC0-1.0).
- Where can I find alternatives to whishper or awesome-whisper?
- GraphCanon lists graph-backed alternatives at whishper alternatives and awesome-whisper alternatives (whishper 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, whishper or awesome-whisper?
- whishper: 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 whishper and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whishper trust report; awesome-whisper trust report.