Home/Compare/whisper-timestamped vs FastChat

Comparison

whisper-timestamped vs FastChat

Verdict

Pick whisper-timestamped when license: whisper-timestamped is AGPL-3.0, FastChat is Apache-2.0; pick FastChat when license: FastChat is Apache-2.0, whisper-timestamped is AGPL-3.0.

Markdown twin · whisper-timestamped alternatives · FastChat alternatives

GraphCanon updated today

whisper-timestamped logo

whisper-timestamped

linto-ai/whisper-timestamped

2.8kpushed Sep 9, 2025
vs
FastChat logo

FastChat

lm-sys/FastChat

39kpushed May 1, 2026

Trust & integrity

Signalwhisper-timestampedFastChat
Maintenance
Slowing (305d 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 criticals
As of today · osv@v1
No lockfile
As of today · none

Tagline

whisper-timestamped
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
FastChat
An open platform for training, serving, and evaluating large language models

Stars

whisper-timestamped
2.8k
FastChat
39k

Forks

whisper-timestamped
210
FastChat
4.8k

Open issues

whisper-timestamped
49
FastChat
1.0k

Language

whisper-timestamped
Python
FastChat
Python

Adopt for

whisper-timestamped
-
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

whisper-timestamped
-
FastChat
-

Runtime

whisper-timestamped
-
FastChat
-

License

whisper-timestamped
AGPL-3.0
FastChat
Apache-2.0

Last pushed

whisper-timestamped
Sep 9, 2025
FastChat
May 1, 2026

Categories

whisper-timestamped
Model Training, Inference & Serving, Speech & Audio
FastChat
LLM Frameworks, Model Training, Inference & Serving, Evaluation & Observability

Trust and health

Maintenance

whisper-timestamped
Slowing (36%)
FastChat
Steady (60%)

Days since push

whisper-timestamped
305d
FastChat
71d

Open issues (now)

whisper-timestamped
49
FastChat
1.0k

Security scan

whisper-timestamped
No criticals
FastChat
No lockfile

Full report

whisper-timestamped
Trust report
FastChat
Trust report

Shared compatibility

  • Python · whisper-timestamped: Python runtime · FastChat: Python runtime

Choose whisper-timestamped if…

  • License: whisper-timestamped is AGPL-3.0, FastChat is Apache-2.0.
  • Tags unique to whisper-timestamped: deep-learning, asr, attention-seq2seq, attention-model.
  • Also covers Speech & Audio.
  • whisper-timestamped ships Docker support for self-hosted deployment.

When NOT to use whisper-timestamped

  • Last GitHub push was 306 days ago (slowing maintenance, Sep 9, 2025). Validate activity before betting a new project on whisper-timestamped.
  • 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.

Choose FastChat if…

  • License: FastChat is Apache-2.0, whisper-timestamped is AGPL-3.0.
  • 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.

Explore

Sources

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

GitHub stars on cards: whisper-timestamped 2.8k · FastChat 39k (synced Jul 11, 2026).

Common questions

What is the difference between whisper-timestamped and FastChat?
whisper-timestamped: Multilingual Automatic Speech Recognition with word-level timestamps and confidence. 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 whisper-timestamped over FastChat?
Choose whisper-timestamped over FastChat when License: whisper-timestamped is AGPL-3.0, FastChat is Apache-2.0; Tags unique to whisper-timestamped: deep-learning, asr, attention-seq2seq, attention-model; Also covers Speech & Audio; whisper-timestamped ships Docker support for self-hosted deployment.
When should I choose FastChat over whisper-timestamped?
Choose FastChat over whisper-timestamped when License: FastChat is Apache-2.0, whisper-timestamped is AGPL-3.0; 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 whisper-timestamped?
Last GitHub push was 306 days ago (slowing maintenance, Sep 9, 2025). Validate activity before betting a new project on whisper-timestamped. 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 whisper-timestamped or FastChat more popular on GitHub?
FastChat has more GitHub stars (39,490 vs 2,823). Stars measure visibility, not whether either tool fits your constraints.
Are whisper-timestamped and FastChat open source?
Yes - both are open-source projects on GitHub (whisper-timestamped: AGPL-3.0, FastChat: Apache-2.0).
Where can I find alternatives to whisper-timestamped or FastChat?
GraphCanon lists graph-backed alternatives at whisper-timestamped alternatives and FastChat alternatives (whisper-timestamped 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, whisper-timestamped or FastChat?
whisper-timestamped: Slowing. 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 whisper-timestamped and FastChat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whisper-timestamped trust report; FastChat trust report.