Comparison
openai_tts vs awesome-whisper
Verdict
Pick openai_tts if a Python-based Home Assistant TTS component that leverages the OpenAI speech engine with extras like chimes and normalization; 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 · openai_tts alternatives · awesome-whisper alternatives
GraphCanon updated Sep 20, 2026
16views this month
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Trust & integrity
| Signal | openai_tts | awesome-whisper |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (165d since push) As of Aug 30, 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 Aug 30, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 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
- openai_tts
- Custom TTS component for Home Assistant with OpenAI speech engine integration
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- openai_tts
- 216
- awesome-whisper
- 2.4k
Forks
- openai_tts
- 53
- awesome-whisper
- 164
Open issues
- openai_tts
- 12
- awesome-whisper
- 7
Language
- openai_tts
- Python
- awesome-whisper
- -
Adopt for
- openai_tts
- A Python-based Home Assistant TTS component that leverages the OpenAI speech engine with extras like chimes and normalization
- 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
- openai_tts
- -
- awesome-whisper
- -
Runtime
- openai_tts
- -
- awesome-whisper
- -
License
- openai_tts
- GPL-3.0
- awesome-whisper
- CC0-1.0
Last pushed
- openai_tts
- Sep 19, 2026
- awesome-whisper
- Mar 17, 2026
Categories
- openai_tts
- Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Maintenance
- openai_tts
- Very active (96%)
- awesome-whisper
- Slowing (36%)
Days since push
- openai_tts
- 0d
- awesome-whisper
- 165d
Open issues (now)
- openai_tts
- 12
- awesome-whisper
- 7
Stars delta
- openai_tts
- +11 (30d)
- awesome-whisper
- +13 (30d)
Open issues delta
- openai_tts
- +3 (30d)
- awesome-whisper
- 0 (30d)
Full report
- openai_tts
- Trust report
- awesome-whisper
- Trust report
Choose openai_tts if…
- License: openai_tts is GPL-3.0, awesome-whisper is CC0-1.0.
- Tags unique to openai_tts: chime, ha, hacs, home-assistant.
- When you require integration with the Home Assistant ecosystem that includes high-quality text-to-speech from OpenAI
When NOT to use openai_tts
- Avoid if your deployment environment does not support Python, essential for this TTS component's operation
- Not fit when looking for pre-built integrations without Home Assistant, since it specifically caters to the Home Assistant platform
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, openai_tts is GPL-3.0.
- Tags unique to awesome-whisper: artificial-intelligence, gpt, openai, speech-to-text.
- 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 (sfortis/openai_tts) · observed Sep 20, 2026
- GitHub forks (sfortis/openai_tts) · observed Sep 20, 2026
- Last push (sfortis/openai_tts) · observed Sep 19, 2026
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 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 Mar 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: openai_tts 216 · awesome-whisper 2.4k (synced Sep 20, 2026).
Common questions
- What is the difference between openai_tts and awesome-whisper?
- openai_tts: Custom TTS component for Home Assistant with OpenAI speech engine integration. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose openai_tts over awesome-whisper?
- Choose openai_tts over awesome-whisper when License: openai_tts is GPL-3.0, awesome-whisper is CC0-1.0; Tags unique to openai_tts: chime, ha, hacs, home-assistant; When you require integration with the Home Assistant ecosystem that includes high-quality text-to-speech from OpenAI.
- When should I choose awesome-whisper over openai_tts?
- Choose awesome-whisper over openai_tts when License: awesome-whisper is CC0-1.0, openai_tts is GPL-3.0; Tags unique to awesome-whisper: artificial-intelligence, gpt, openai, speech-to-text; When seeking curated information on Whisper variants optimized for various platforms and languages.
- When should I avoid openai_tts?
- Avoid if your deployment environment does not support Python, essential for this TTS component's operation Not fit when looking for pre-built integrations without Home Assistant, since it specifically caters to the Home Assistant platform
- 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 openai_tts or awesome-whisper more popular on GitHub?
- awesome-whisper has more GitHub stars (2,374 vs 216). Stars measure visibility, not whether either tool fits your constraints.
- Are openai_tts and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (openai_tts: GPL-3.0, awesome-whisper: CC0-1.0).
- Where can I find alternatives to openai_tts or awesome-whisper?
- GraphCanon lists graph-backed alternatives at openai_tts alternatives and awesome-whisper alternatives (openai_tts 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, openai_tts or awesome-whisper?
- openai_tts: Very active. 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 openai_tts and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openai_tts trust report; awesome-whisper trust report.