Comparison
RealtimeSTT vs awesome-whisper
Verdict
Pick RealtimeSTT if realtimeSTT is an efficient Python library for low-latency speech-to-text transcription with advanced voice activity detection and wake word support; 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 · RealtimeSTT alternatives · awesome-whisper alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | RealtimeSTT | awesome-whisper |
|---|---|---|
| Maintenance | Steady (47d 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 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
- RealtimeSTT
- Realtime speech-to-text library with advanced voice activity detection and wake word activation
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- RealtimeSTT
- 10k
- awesome-whisper
- 2.4k
Forks
- RealtimeSTT
- 850
- awesome-whisper
- 156
Open issues
- RealtimeSTT
- 147
- awesome-whisper
- 7
Language
- RealtimeSTT
- Python
- awesome-whisper
- -
Adopt for
- RealtimeSTT
- RealtimeSTT is an efficient Python library for low-latency speech-to-text transcription with advanced voice activity detection and wake word support.
- 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
- RealtimeSTT
- -
- awesome-whisper
- -
Runtime
- RealtimeSTT
- -
- awesome-whisper
- -
License
- RealtimeSTT
- MIT License allows free use and modification, provided original copyright notice and license is retained in all copies or substantial portions of the software.
- awesome-whisper
- CC0-1.0
Last pushed
- RealtimeSTT
- Jun 12, 2026
- awesome-whisper
- Mar 17, 2026
Categories
- RealtimeSTT
- Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Maintenance
- RealtimeSTT
- Steady (60%)
- awesome-whisper
- Slowing (36%)
Days since push
- RealtimeSTT
- 47d
- awesome-whisper
- 134d
Open issues (now)
- RealtimeSTT
- 147
- awesome-whisper
- 7
OSV dependency advisories
- RealtimeSTT
- No published findings from this source as of 2026-07-11
- awesome-whisper
- No lockfile (source not queried)
Full report
- RealtimeSTT
- Trust report
- awesome-whisper
- Trust report
Choose RealtimeSTT if…
- License: RealtimeSTT is MIT, awesome-whisper is CC0-1.0.
- Tags unique to RealtimeSTT: python, realtime.
- RealtimeSTT ships Docker support for self-hosted deployment.
- You need a tool that supports voice activity detection and instant transcription upon waking words in real-time.
When NOT to use RealtimeSTT
- Your speech-to-text solution requires support for programming languages other than Python.
- You cannot meet the requirement to have Python 3.11 or newer installed in your development environment.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, RealtimeSTT is MIT.
- 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 (KoljaB/RealtimeSTT) · observed Jul 30, 2026
- GitHub forks (KoljaB/RealtimeSTT) · observed Jul 30, 2026
- Last push (KoljaB/RealtimeSTT) · observed Jun 12, 2026
- License file (MIT) · 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: RealtimeSTT 10k · awesome-whisper 2.4k (synced Jul 30, 2026).
Common questions
- What is the difference between RealtimeSTT and awesome-whisper?
- RealtimeSTT: Realtime speech-to-text library with advanced voice activity detection and wake word activation. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose RealtimeSTT over awesome-whisper?
- Choose RealtimeSTT over awesome-whisper when License: RealtimeSTT is MIT, awesome-whisper is CC0-1.0; Tags unique to RealtimeSTT: python, realtime; RealtimeSTT ships Docker support for self-hosted deployment; You need a tool that supports voice activity detection and instant transcription upon waking words in real-time.
- When should I choose awesome-whisper over RealtimeSTT?
- Choose awesome-whisper over RealtimeSTT when License: awesome-whisper is CC0-1.0, RealtimeSTT is MIT; 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 RealtimeSTT?
- Your speech-to-text solution requires support for programming languages other than Python. You cannot meet the requirement to have Python 3.11 or newer installed in your development environment.
- 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 RealtimeSTT or awesome-whisper more popular on GitHub?
- RealtimeSTT has more GitHub stars (10,014 vs 2,361). Stars measure visibility, not whether either tool fits your constraints.
- Are RealtimeSTT and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (RealtimeSTT: MIT, awesome-whisper: CC0-1.0).
- Where can I find alternatives to RealtimeSTT or awesome-whisper?
- GraphCanon lists graph-backed alternatives at RealtimeSTT alternatives and awesome-whisper alternatives (RealtimeSTT 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, RealtimeSTT or awesome-whisper?
- RealtimeSTT: Steady. 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 RealtimeSTT and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: RealtimeSTT trust report; awesome-whisper trust report.