--- title: "TTS vs Kokoro-FastAPI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coqui-ai-tts-vs-remsky-kokoro-fastapi" tools: ["coqui-ai-tts", "remsky-kokoro-fastapi"] --- # TTS vs Kokoro-FastAPI *GraphCanon updated Jul 11, 2026* ## Verdict Pick TTS when license: TTS is MPL-2.0, Kokoro-FastAPI is Apache-2.0; pick Kokoro-FastAPI when license: Kokoro-FastAPI is Apache-2.0, 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. [Kokoro-FastAPI](https://github.com/remsky/Kokoro-FastAPI) has 5.2k stars, 850 forks, and 110 open issues, last pushed Jun 18, 2026. Figures are from public GitHub metadata via [TTS's repository](https://github.com/coqui-ai/TTS) and [Kokoro-FastAPI's repository](https://github.com/remsky/Kokoro-FastAPI). | | [TTS](/tools/coqui-ai-tts.md) | [Kokoro-FastAPI](/tools/remsky-kokoro-fastapi.md) | | --- | --- | --- | | Tagline | 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production | Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model w/multiplatform CPU, AMD, NVIDIA GPU PyTorch support, handling, and auto-stitching | | Stars | 45,737 | 5,197 | | Forks | 6,152 | 850 | | Open issues | 4 | 110 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | Apache-2.0 | | Categories | Inference & Serving, Model Training, Speech & Audio | Model Training, Speech & Audio, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TTS](/tools/coqui-ai-tts.md) | [Kokoro-FastAPI](/tools/remsky-kokoro-fastapi.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 693d | 23d | | Open issues (now) | 4 | 110 | | Owner type | Organization | User | | Security scan | 137 low (137 low) | No criticals | | Full report | [trust report](/tools/coqui-ai-tts/trust.md) | [trust report](/tools/remsky-kokoro-fastapi/trust.md) | ## Shared compatibility - **Python**: [TTS](/tools/coqui-ai-tts.md) - Python runtime; [Kokoro-FastAPI](/tools/remsky-kokoro-fastapi.md) - Python runtime ## Choose when ### Choose TTS if… - License: TTS is MPL-2.0, Kokoro-FastAPI is Apache-2.0. - Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan. - Also covers Inference & Serving. - TTS ships Docker support for self-hosted deployment. ### Choose Kokoro-FastAPI if… - License: Kokoro-FastAPI is Apache-2.0, TTS is MPL-2.0. - Tags unique to Kokoro-FastAPI: fastapi, huggingface-spaces, kokoro, kokoro-tts. - Also covers Vector Databases. ## 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 Kokoro-FastAPI - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between TTS and Kokoro-FastAPI? TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. Kokoro-FastAPI: Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model w/multiplatform CPU, AMD, NVIDIA GPU PyTorch support, handling, and auto-stitching. See the comparison table for live GitHub stats and shared categories. ### When should I choose TTS over Kokoro-FastAPI? Choose TTS over Kokoro-FastAPI when License: TTS is MPL-2.0, Kokoro-FastAPI is Apache-2.0; 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 Kokoro-FastAPI over TTS? Choose Kokoro-FastAPI over TTS when License: Kokoro-FastAPI is Apache-2.0, TTS is MPL-2.0; Tags unique to Kokoro-FastAPI: fastapi, huggingface-spaces, kokoro, kokoro-tts; Also covers Vector Databases. ### 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 Kokoro-FastAPI? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is TTS or Kokoro-FastAPI more popular on GitHub? TTS has more GitHub stars (45,737 vs 5,197). Stars measure visibility, not whether either tool fits your constraints. ### Are TTS and Kokoro-FastAPI open source? Yes - both are open-source projects on GitHub (TTS: MPL-2.0, Kokoro-FastAPI: Apache-2.0). ### Where can I find alternatives to TTS or Kokoro-FastAPI? GraphCanon lists graph-backed alternatives at [TTS alternatives](/tools/coqui-ai-tts/alternatives) and [Kokoro-FastAPI alternatives](/tools/remsky-kokoro-fastapi/alternatives) ([TTS markdown twin](/tools/coqui-ai-tts/alternatives.md), [Kokoro-FastAPI markdown twin](/tools/remsky-kokoro-fastapi/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-remsky-kokoro-fastapi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TTS or Kokoro-FastAPI? TTS: Dormant. Kokoro-FastAPI: Active. 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 Kokoro-FastAPI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TTS trust report](/tools/coqui-ai-tts/trust); [Kokoro-FastAPI trust report](/tools/remsky-kokoro-fastapi/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/_