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Comparison

STT vs FastChat

Verdict

Pick STT when sTT is primarily C++; FastChat is Python; pick FastChat when fastChat is primarily Python; STT is C++.

Markdown twin · STT alternatives · FastChat alternatives

GraphCanon updated today

STT logo

STT

coqui-ai/STT

★ 2.6kpushed Mar 11, 2024
vs
FastChat logo

FastChat

lm-sys/FastChat

★ 39kpushed May 1, 2026

Trust & integrity

SignalSTTFastChat
Maintenance
Dormant (852d since push)
As of today · github_public_v1
Steady (71d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none
STT trust reportFastChat trust reportTrust methodology

Tagline

STT
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
FastChat
An open platform for training, serving, and evaluating large language models

Stars

STT
2.6k
FastChat
39k

Forks

STT
299
FastChat
4.8k

Open issues

STT
106
FastChat
1.0k

Language

STT
C++
FastChat
Python

Adopt for

STT
-
FastChat
FastChat is a comprehensive open platform for managing large language models (LLMs) that includes capabilities for training, serving, evaluating, and comparing chatbot models via web UIs and RESTful APIs. It powers ChatB

Persona

STT
-
FastChat
-

Runtime

STT
-
FastChat
-

License

STT
MPL-2.0
FastChat
Apache-2.0

Last pushed

STT
Mar 11, 2024
FastChat
May 1, 2026

Categories

STT
Model Training, Speech & Audio, Inference & Serving
FastChat
Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability

Trust and health

Maintenance

STT
Dormant (18%)
FastChat
Steady (60%)

Days since push

STT
852d
FastChat
71d

Open issues (now)

STT
106
FastChat
1.0k

Full report

STT
Trust report
FastChat
Trust report

Choose STT if…

  • STT is primarily C++; FastChat is Python.
  • License: STT is MPL-2.0, FastChat is Apache-2.0.
  • Tags unique to STT: deep-learning, automatic-speech-recognition, asr, speech-recognition-api.
  • Also covers Speech & Audio.

When NOT to use STT

  • Last GitHub push was 852 days ago (dormant maintenance, Mar 11, 2024). Validate activity before betting a new project on STT.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
GitHubDetails

Choose FastChat if…

  • FastChat is primarily Python; STT is C++.
  • License: FastChat is Apache-2.0, STT is MPL-2.0.
  • Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
  • Also covers LLM Frameworks, Evaluation & Observability.
  • - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.

When NOT to use FastChat

  • - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions.
  • - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations).
  • - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on
  • + Mac.
GitHubDetails

Explore

STT trust report →FastChat trust report →Model Training category →Speech & Audio category →Inference & Serving category →LLM Frameworks category →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: STT 2.6k · FastChat 39k (synced Jul 11, 2026).

Common questions

What is the difference between STT and FastChat?
STT: 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.. FastChat: An open platform for training, serving, and evaluating large language models. See the comparison table for live GitHub stats and shared categories.
When should I choose STT over FastChat?
Choose STT over FastChat when STT is primarily C++; FastChat is Python; License: STT is MPL-2.0, FastChat is Apache-2.0; Tags unique to STT: deep-learning, automatic-speech-recognition, asr, speech-recognition-api; Also covers Speech & Audio.
When should I choose FastChat over STT?
Choose FastChat over STT when FastChat is primarily Python; STT is C++; License: FastChat is Apache-2.0, STT is MPL-2.0; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers LLM Frameworks, Evaluation & Observability; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
When should I avoid STT?
Last GitHub push was 852 days ago (dormant maintenance, Mar 11, 2024). Validate activity before betting a new project on STT. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid FastChat?
- You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions. - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations). - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on + Mac.
Is STT or FastChat more popular on GitHub?
FastChat has more GitHub stars (39,490 vs 2,590). Stars measure visibility, not whether either tool fits your constraints.
Are STT and FastChat open source?
Yes - both are open-source projects on GitHub (STT: MPL-2.0, FastChat: Apache-2.0).
Where can I find alternatives to STT or FastChat?
GraphCanon lists graph-backed alternatives at STT alternatives and FastChat alternatives (STT markdown twin, FastChat 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, STT or FastChat?
STT: Dormant. FastChat: Steady. 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 STT and FastChat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: STT trust report; FastChat trust report.