--- title: "TTS vs awesome-whisper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coqui-ai-tts-vs-sindresorhus-awesome-whisper" tools: ["coqui-ai-tts", "sindresorhus-awesome-whisper"] --- # TTS vs awesome-whisper *GraphCanon updated Jul 11, 2026* ## Verdict Pick TTS when license: TTS is MPL-2.0, awesome-whisper is CC0-1.0; pick awesome-whisper when license: awesome-whisper is CC0-1.0, TTS is MPL-2.0. [TTS](http://coqui.ai) reports 46k GitHub stars, 6.2k forks, and 4 open issues, last pushed Aug 16, 2024. [awesome-whisper](https://github.com/sindresorhus/awesome-whisper) has 2.3k stars, 146 forks, and 7 open issues, last pushed Mar 17, 2026. Figures are from public GitHub metadata via [TTS's repository](https://github.com/coqui-ai/TTS) and [awesome-whisper's repository](https://github.com/sindresorhus/awesome-whisper). | | [TTS](/tools/coqui-ai-tts.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Tagline | πŸΈπŸ’¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production | πŸ”Š Awesome list for Whisper β€” an open-source AI-powered speech recognition system developed by OpenAI | | Stars | 45,737 | 2,346 | | Forks | 6,152 | 146 | | Open issues | 4 | 7 | | Language | Python | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | CC0-1.0 | | Categories | Inference & Serving, Model Training, Speech & Audio | Developer Tools, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TTS](/tools/coqui-ai-tts.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 693d | 116d | | Open issues (now) | 4 | 7 | | Owner type | Organization | User | | Security scan | 137 low (137 low) | No lockfile | | Full report | [trust report](/tools/coqui-ai-tts/trust.md) | [trust report](/tools/sindresorhus-awesome-whisper/trust.md) | ## Choose when ### Choose TTS if… - License: TTS is MPL-2.0, awesome-whisper is CC0-1.0. - Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan. - Also covers Inference & Serving. - TTS ships Docker support for self-hosted deployment. ### Choose awesome-whisper if… - License: awesome-whisper is CC0-1.0, TTS is MPL-2.0. - Tags unique to awesome-whisper: ai, artificial-intelligence, awesome, awesome-list. - Also covers Developer Tools. ## When NOT to use TTS - Last GitHub push was 695 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use awesome-whisper - Last GitHub push was 117 days ago (slowing maintenance, Mar 17, 2026). Validate activity before betting a new project on awesome-whisper. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between TTS and awesome-whisper? TTS: πŸΈπŸ’¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. awesome-whisper: πŸ”Š Awesome list for Whisper β€” an open-source AI-powered speech recognition system developed by OpenAI. See the comparison table for live GitHub stats and shared categories. ### When should I choose TTS over awesome-whisper? Choose TTS over awesome-whisper when License: TTS is MPL-2.0, awesome-whisper is CC0-1.0; Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan; Also covers Inference & Serving; TTS ships Docker support for self-hosted deployment. ### When should I choose awesome-whisper over TTS? Choose awesome-whisper over TTS when License: awesome-whisper is CC0-1.0, TTS is MPL-2.0; Tags unique to awesome-whisper: ai, artificial-intelligence, awesome, awesome-list; Also covers Developer Tools. ### When should I avoid TTS? Last GitHub push was 695 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid awesome-whisper? Last GitHub push was 117 days ago (slowing maintenance, Mar 17, 2026). Validate activity before betting a new project on awesome-whisper. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is TTS or awesome-whisper more popular on GitHub? TTS has more GitHub stars (45,737 vs 2,346). Stars measure visibility, not whether either tool fits your constraints. ### Are TTS and awesome-whisper open source? Yes - both are open-source projects on GitHub (TTS: MPL-2.0, awesome-whisper: CC0-1.0). ### Where can I find alternatives to TTS or awesome-whisper? GraphCanon lists graph-backed alternatives at [TTS alternatives](/tools/coqui-ai-tts/alternatives) and [awesome-whisper alternatives](/tools/sindresorhus-awesome-whisper/alternatives) ([TTS markdown twin](/tools/coqui-ai-tts/alternatives.md), [awesome-whisper markdown twin](/tools/sindresorhus-awesome-whisper/alternatives.md)), 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](/compare/coqui-ai-tts-vs-sindresorhus-awesome-whisper.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TTS or awesome-whisper? TTS: Dormant. 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 TTS and awesome-whisper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TTS trust report](/tools/coqui-ai-tts/trust); [awesome-whisper trust report](/tools/sindresorhus-awesome-whisper/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=coqui-ai-tts`](/api/graphcanon/graph?tool=coqui-ai-tts) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_