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Comparison

FastChat vs optimate

Verdict

Pick FastChat if 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; pick optimate if optiMate is a collection of open-source libraries in Python designed to optimize the performance and resource utilization of AI models, though it.

Markdown twin · FastChat alternatives · optimate alternatives

GraphCanon updated 2d

FastChat logo

FastChat

lm-sys/FastChat

★ 40kpushed May 1, 2026
vs
optimate logo

optimate

nebuly-ai/optimate

★ 8.3kpushed Jul 22, 2024

Trust & integrity

SignalFastChatoptimate
Maintenance
Slowing (98d since push)
As of 1w · github_public_v1
Dormant (756d since push)
As of 2d · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Organization account
As of 2d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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
FastChat trust reportoptimate trust reportTrust methodology

Tagline

FastChat
An open platform for training, serving, and evaluating large language models
optimate
A collection of libraries to optimize AI model performances

Stars

FastChat
40k
optimate
8.3k

Forks

FastChat
4.8k
optimate
617

Open issues

FastChat
1.0k
optimate
110

Language

FastChat
Python
optimate
Python

Adopt for

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
optimate
OptiMate is a collection of open-source libraries in Python designed to optimize the performance and resource utilization of AI models, though it now operates in a legacy phase meaning no further updates or official code

Persona

FastChat
-
optimate
-

Runtime

FastChat
-
optimate
-

License

FastChat
Apache-2.0
optimate
Apache-2.0

Last pushed

FastChat
May 1, 2026
optimate
Jul 22, 2024

Categories

FastChat
Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
optimate
Inference & Serving, Model Training

Trust and health

Maintenance

FastChat
Slowing (36%)
optimate
Dormant (18%)

Days since push

FastChat
98d
optimate
756d

Open issues (now)

FastChat
1.0k
optimate
110

Stars delta

FastChat
Unknown
optimate
-3 (30d)

Open issues delta

FastChat
Unknown
optimate
0 (30d)

Full report

FastChat
Trust report
optimate
Trust report

Choose FastChat if…

  • Tags unique to FastChat: chatbots, distributed-serving, evaluation system.
  • Also covers Evaluation & Observability, LLM Frameworks.
  • - 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

Choose optimate if…

  • Tags unique to optimate: ai, analytics, artificial-intelligence, deeplearning.
  • When you need optimization techniques for enhancing inference costs by leveraging state-of-the-art approaches that couple your AI models with hardware like GPUs and CPUs through tools such as Speedスター
  • Leaner open-issue backlog (110).

When NOT to use optimate

  • Do not use OptiMate if you need ongoing support or active development. The project has moved into a legacy phase and receives no further updates
  • Avoid using OptiMate for future AI deployment if you are aiming to integrate state-of-the-art real-time observability features as it's no longer actively maintained nor receiving new improvements
GitHubDetails

Explore

FastChat trust report →optimate trust report →Evaluation & Observability category →Inference & Serving category →LLM Frameworks category →Model Training 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: FastChat 40k · optimate 8.3k (synced Aug 7, 2026).

Common questions

What is the difference between FastChat and optimate?
FastChat: An open platform for training, serving, and evaluating large language models. optimate: A collection of libraries to optimize AI model performances. See the comparison table for live GitHub stats and shared categories.
When should I choose FastChat over optimate?
Choose FastChat over optimate when Tags unique to FastChat: chatbots, distributed-serving, evaluation system; Also covers Evaluation & Observability, LLM Frameworks; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
When should I choose optimate over FastChat?
Choose optimate over FastChat when Tags unique to optimate: ai, analytics, artificial-intelligence, deeplearning; When you need optimization techniques for enhancing inference costs by leveraging state-of-the-art approaches that couple your AI models with hardware like GPUs and CPUs through tools such as Speedスター; Leaner open-issue backlog (110).
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.
When should I avoid optimate?
Do not use OptiMate if you need ongoing support or active development. The project has moved into a legacy phase and receives no further updates Avoid using OptiMate for future AI deployment if you are aiming to integrate state-of-the-art real-time observability features as it's no longer actively maintained nor receiving new improvements
Is FastChat or optimate more popular on GitHub?
FastChat has more GitHub stars (39,517 vs 8,329). Stars measure visibility, not whether either tool fits your constraints.
Are FastChat and optimate open source?
Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, optimate: Apache-2.0).
Where can I find alternatives to FastChat or optimate?
GraphCanon lists graph-backed alternatives at FastChat alternatives and optimate alternatives (FastChat markdown twin, optimate 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, FastChat or optimate?
FastChat: Slowing. optimate: Dormant. 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 FastChat and optimate?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; optimate trust report.

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