Comparison
CommonGen-Eval vs FastChat
Verdict
Pick CommonGen-Eval when tags unique to CommonGen-Eval: chatgpt, evaluation, gpt-evaluation, llama2; pick FastChat when tags unique to FastChat: chatbots, distributed-serving, evaluation system, large-language-models.
Markdown twin · CommonGen-Eval alternatives · FastChat alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | CommonGen-Eval | FastChat |
|---|---|---|
| Maintenance | Dormant (846d since push) As of today · github_public_v1 | Steady (74d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | Published findings As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- CommonGen-Eval
- Evaluating LLMs with CommonGen-Lite
- FastChat
- An open platform for training, serving, and evaluating large language models
Stars
- CommonGen-Eval
- 95
- FastChat
- 39k
Forks
- CommonGen-Eval
- 3
- FastChat
- 4.8k
Open issues
- CommonGen-Eval
- 1
- FastChat
- 1.0k
Language
- CommonGen-Eval
- Python
- FastChat
- Python
Adopt for
- CommonGen-Eval
- -
- 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
- CommonGen-Eval
- -
- FastChat
- -
Runtime
- CommonGen-Eval
- -
- FastChat
- -
License
- CommonGen-Eval
- Apache-2.0
- FastChat
- Apache-2.0
Last pushed
- CommonGen-Eval
- Mar 21, 2024
- FastChat
- May 1, 2026
Categories
- CommonGen-Eval
- Evaluation & Observability, LLM Frameworks
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- CommonGen-Eval
- Dormant (18%)
- FastChat
- Steady (60%)
Days since push
- CommonGen-Eval
- 846d
- FastChat
- 74d
Open issues (now)
- CommonGen-Eval
- 1
- FastChat
- 1.0k
OSV dependency advisories
- CommonGen-Eval
- Published findings
- FastChat
- No lockfile (source not queried)
Full report
- CommonGen-Eval
- Trust report
- FastChat
- Trust report
Shared compatibility
- Python · CommonGen-Eval: Python runtime · FastChat: Python runtime
Choose CommonGen-Eval if…
- Tags unique to CommonGen-Eval: chatgpt, evaluation, gpt-evaluation, llama2.
- Leaner open-issue backlog (1).
When NOT to use CommonGen-Eval
- Last GitHub push was 846 days ago (dormant maintenance, Mar 21, 2024). Validate activity before betting a new project on CommonGen-Eval.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose FastChat if…
- Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large-language-models.
- Also covers Inference & Serving, Model Training.
- - 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 (allenai/CommonGen-Eval) · observed Jul 15, 2026
- GitHub forks (allenai/CommonGen-Eval) · observed Jul 15, 2026
- Last push (allenai/CommonGen-Eval) · observed Mar 21, 2024
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (lm-sys/FastChat) · observed Jul 14, 2026
- GitHub forks (lm-sys/FastChat) · observed Jul 14, 2026
- Last push (lm-sys/FastChat) · observed May 1, 2026
- License file (Apache-2.0) · observed Jul 14, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: CommonGen-Eval 95 · FastChat 39k (synced Jul 15, 2026).
Common questions
- What is the difference between CommonGen-Eval and FastChat?
- CommonGen-Eval: Evaluating LLMs with CommonGen-Lite. 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 CommonGen-Eval over FastChat?
- Choose CommonGen-Eval over FastChat when Tags unique to CommonGen-Eval: chatgpt, evaluation, gpt-evaluation, llama2; Leaner open-issue backlog (1).
- When should I choose FastChat over CommonGen-Eval?
- Choose FastChat over CommonGen-Eval when Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large-language-models; Also covers Inference & Serving, Model Training; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I avoid CommonGen-Eval?
- Last GitHub push was 846 days ago (dormant maintenance, Mar 21, 2024). Validate activity before betting a new project on CommonGen-Eval. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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 CommonGen-Eval or FastChat more popular on GitHub?
- FastChat has more GitHub stars (39,494 vs 95). Stars measure visibility, not whether either tool fits your constraints.
- Are CommonGen-Eval and FastChat open source?
- Yes - both are open-source projects on GitHub (CommonGen-Eval: Apache-2.0, FastChat: Apache-2.0).
- Where can I find alternatives to CommonGen-Eval or FastChat?
- GraphCanon lists graph-backed alternatives at CommonGen-Eval alternatives and FastChat alternatives (CommonGen-Eval 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, CommonGen-Eval or FastChat?
- CommonGen-Eval: 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 CommonGen-Eval and FastChat?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CommonGen-Eval trust report; FastChat trust report.