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
vs
Trust & integrity
| Signal | whisper-timestamped | FastChat |
|---|---|---|
| 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 (linto-ai/whisper-timestamped) · observed Jul 11, 2026
- GitHub forks (linto-ai/whisper-timestamped) · observed Jul 11, 2026
- Last push (linto-ai/whisper-timestamped) · observed Sep 9, 2025
- License file (AGPL-3.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (lm-sys/FastChat) · observed Jul 11, 2026
- GitHub forks (lm-sys/FastChat) · observed Jul 11, 2026
- Last push (lm-sys/FastChat) · observed May 1, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.