Comparison
Whisperboard vs awesome-whisper
Verdict
Pick Whisperboard if whisperboard is an iOS app that leverages open-source technology to provide top-notch voice transcription services directly on mobile devices; 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 · Whisperboard alternatives · awesome-whisper alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | Whisperboard | awesome-whisper |
|---|---|---|
| Maintenance | Slowing (224d 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
- Whisperboard
- An open-source iOS app for accessible quality voice transcription on mobile devices.
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- Whisperboard
- 1.1k
- awesome-whisper
- 2.4k
Forks
- Whisperboard
- 111
- awesome-whisper
- 156
Open issues
- Whisperboard
- 24
- awesome-whisper
- 7
Language
- Whisperboard
- Swift
- awesome-whisper
- -
Adopt for
- Whisperboard
- Whisperboard is an iOS app that leverages open-source technology to provide top-notch voice transcription services directly on mobile devices.
- 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
- Whisperboard
- -
- awesome-whisper
- -
Runtime
- Whisperboard
- -
- awesome-whisper
- -
License
- Whisperboard
- GPL-3.0
- awesome-whisper
- CC0-1.0
Last pushed
- Whisperboard
- Dec 18, 2025
- awesome-whisper
- Mar 17, 2026
Categories
- Whisperboard
- Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Days since push
- Whisperboard
- 224d
- awesome-whisper
- 134d
Open issues (now)
- Whisperboard
- 24
- awesome-whisper
- 7
Full report
- Whisperboard
- Trust report
- awesome-whisper
- Trust report
Choose Whisperboard if…
- License: Whisperboard is GPL-3.0, awesome-whisper is CC0-1.0.
- Tags unique to Whisperboard: audio-to-text, composable-architecture, ios, speech-recognition.
- When you require precise and reliable speech-to-text functionality on iOS devices, as Whisperboard specifically targets quality in its transcription process across these platforms.
When NOT to use Whisperboard
- Avoid if you need compatibility with Android devices as Whisperboard focuses solely on iOS functionality and user experience.
- Consider other options if the project demands real-time transcription capabilities that go beyond Whisperboard's current scope in its implementation and feature set.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, Whisperboard is GPL-3.0.
- Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, transcription.
- 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 (Saik0s/Whisperboard) · observed Jul 31, 2026
- GitHub forks (Saik0s/Whisperboard) · observed Jul 31, 2026
- Last push (Saik0s/Whisperboard) · observed Dec 18, 2025
- License file (GPL-3.0) · observed Jul 31, 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: Whisperboard 1.1k · awesome-whisper 2.4k (synced Jul 31, 2026).
Common questions
- What is the difference between Whisperboard and awesome-whisper?
- Whisperboard: An open-source iOS app for accessible quality voice transcription on mobile devices.. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose Whisperboard over awesome-whisper?
- Choose Whisperboard over awesome-whisper when License: Whisperboard is GPL-3.0, awesome-whisper is CC0-1.0; Tags unique to Whisperboard: audio-to-text, composable-architecture, ios, speech-recognition; When you require precise and reliable speech-to-text functionality on iOS devices, as Whisperboard specifically targets quality in its transcription process across these platforms.
- When should I choose awesome-whisper over Whisperboard?
- Choose awesome-whisper over Whisperboard when License: awesome-whisper is CC0-1.0, Whisperboard is GPL-3.0; Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, transcription; When seeking curated information on Whisper variants optimized for various platforms and languages.
- When should I avoid Whisperboard?
- Avoid if you need compatibility with Android devices as Whisperboard focuses solely on iOS functionality and user experience. Consider other options if the project demands real-time transcription capabilities that go beyond Whisperboard's current scope in its implementation and feature set.
- 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 Whisperboard or awesome-whisper more popular on GitHub?
- awesome-whisper has more GitHub stars (2,361 vs 1,087). Stars measure visibility, not whether either tool fits your constraints.
- Are Whisperboard and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (Whisperboard: GPL-3.0, awesome-whisper: CC0-1.0).
- Where can I find alternatives to Whisperboard or awesome-whisper?
- GraphCanon lists graph-backed alternatives at Whisperboard alternatives and awesome-whisper alternatives (Whisperboard 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, Whisperboard or awesome-whisper?
- Whisperboard: 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 Whisperboard and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Whisperboard trust report; awesome-whisper trust report.