Comparison
Kokoro-FastAPI vs awesome-whisper
Verdict
Pick Kokoro-FastAPI if kokoro-FastAPI is a Dockerized wrapper for the Kokoro-82M text-to-speech model using FastAPI. It supports multi-language capability and provides prebuilt images for various hardware types; 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 · Kokoro-FastAPI alternatives · awesome-whisper alternatives
GraphCanon updated Sep 20, 2026
12views this month
vs
Trust & integrity
| Signal | Kokoro-FastAPI | awesome-whisper |
|---|---|---|
| Maintenance | Active (10d since push) As of Sep 20, 2026 · github_public_v1 | Very active (3d since push) As of Sep 20, 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 Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of Jul 11, 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
- Kokoro-FastAPI
- Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model
- awesome-whisper
- Curated resources for Whisper speech recognition system
Stars
- Kokoro-FastAPI
- 5.5k
- awesome-whisper
- 2.4k
Forks
- Kokoro-FastAPI
- 902
- awesome-whisper
- 180
Open issues
- Kokoro-FastAPI
- 13
- awesome-whisper
- 7
Language
- Kokoro-FastAPI
- Python
- awesome-whisper
- -
Adopt for
- Kokoro-FastAPI
- Kokoro-FastAPI is a Dockerized wrapper for the Kokoro-82M text-to-speech model using FastAPI. It supports multi-language capability and provides prebuilt images for various hardware types.
- 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
- Kokoro-FastAPI
- -
- awesome-whisper
- -
Runtime
- Kokoro-FastAPI
- -
- awesome-whisper
- -
License
- Kokoro-FastAPI
- Apache-2.0
- awesome-whisper
- CC0-1.0
Last pushed
- Kokoro-FastAPI
- Sep 10, 2026
- awesome-whisper
- Sep 17, 2026
Categories
- Kokoro-FastAPI
- Speech & Audio
- awesome-whisper
- Speech & Audio
Trust and health
Maintenance
- Kokoro-FastAPI
- Active (82%)
- awesome-whisper
- Very active (96%)
Days since push
- Kokoro-FastAPI
- 10d
- awesome-whisper
- 3d
Open issues (now)
- Kokoro-FastAPI
- 13
- awesome-whisper
- 7
Stars delta
- Kokoro-FastAPI
- +196 (30d)
- awesome-whisper
- +25 (30d)
Open issues delta
- Kokoro-FastAPI
- -96 (30d)
- awesome-whisper
- 0 (30d)
OSV dependency advisories
- Kokoro-FastAPI
- No published findings from this source as of 2026-07-11
- awesome-whisper
- No lockfile (source not queried)
Full report
- Kokoro-FastAPI
- Trust report
- awesome-whisper
- Trust report
Choose Kokoro-FastAPI if…
- License: Kokoro-FastAPI is Apache-2.0, awesome-whisper is CC0-1.0.
- Requirements: Min 4 GB RAM; Requires Docker; Hardware-specific Docker images are provided for CUDA, ROCm (experimental), and CPU support.; Users without supported GPUs can still utilize the service via a CPU image..
- Tags unique to Kokoro-FastAPI: docker, fastapi, kokoro tts, multi-gpu support.
- You require a solution that can auto-download models and run natively on Apple Silicon (MPS) with support via UV.
When NOT to use Kokoro-FastAPI
- If your hardware is not supported by the provided Docker images, for example, if you do not have a compatible NVIDIA, AMD GPU or CPU setup.
- You are looking for non-Dockerized solutions. Kokoro-FastAPI focuses on containerization and might not fit environments that strictly avoid containers.
Choose awesome-whisper if…
- License: awesome-whisper is CC0-1.0, Kokoro-FastAPI is Apache-2.0.
- 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 (remsky/Kokoro-FastAPI) · observed Sep 20, 2026
- GitHub forks (remsky/Kokoro-FastAPI) · observed Sep 20, 2026
- Last push (remsky/Kokoro-FastAPI) · observed Sep 10, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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 Sep 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: Kokoro-FastAPI 5.5k · awesome-whisper 2.4k (synced Sep 20, 2026).
Common questions
- What is the difference between Kokoro-FastAPI and awesome-whisper?
- Kokoro-FastAPI: Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.
- When should I choose Kokoro-FastAPI over awesome-whisper?
- Choose Kokoro-FastAPI over awesome-whisper when License: Kokoro-FastAPI is Apache-2.0, awesome-whisper is CC0-1.0; Requirements: Min 4 GB RAM; Requires Docker; Hardware-specific Docker images are provided for CUDA, ROCm (experimental), and CPU support.; Users without supported GPUs can still utilize the service via a CPU image.; Tags unique to Kokoro-FastAPI: docker, fastapi, kokoro tts, multi-gpu support; You require a solution that can auto-download models and run natively on Apple Silicon (MPS) with support via UV.
- When should I choose awesome-whisper over Kokoro-FastAPI?
- Choose awesome-whisper over Kokoro-FastAPI when License: awesome-whisper is CC0-1.0, Kokoro-FastAPI is Apache-2.0; 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 Kokoro-FastAPI?
- If your hardware is not supported by the provided Docker images, for example, if you do not have a compatible NVIDIA, AMD GPU or CPU setup. You are looking for non-Dockerized solutions. Kokoro-FastAPI focuses on containerization and might not fit environments that strictly avoid containers.
- 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 Kokoro-FastAPI or awesome-whisper more popular on GitHub?
- Kokoro-FastAPI has more GitHub stars (5,461 vs 2,386). Stars measure visibility, not whether either tool fits your constraints.
- Are Kokoro-FastAPI and awesome-whisper open source?
- Yes - both are open-source projects on GitHub (Kokoro-FastAPI: Apache-2.0, awesome-whisper: CC0-1.0).
- Where can I find alternatives to Kokoro-FastAPI or awesome-whisper?
- GraphCanon lists graph-backed alternatives at Kokoro-FastAPI alternatives and awesome-whisper alternatives (Kokoro-FastAPI 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, Kokoro-FastAPI or awesome-whisper?
- Kokoro-FastAPI: Active. awesome-whisper: Very 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 Kokoro-FastAPI and awesome-whisper?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Kokoro-FastAPI trust report; awesome-whisper trust report.