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Comparison

FATE vs FastChat

Verdict

Pick FATE when tags unique to FATE: fate, algorithm, machine-learning, python; pick FastChat when tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.

Markdown twin · FATE alternatives · FastChat alternatives

GraphCanon updated today

FATE logo

FATE

FederatedAI/FATE

★ 6.1kpushed Nov 19, 2024
vs
FastChat logo

FastChat

lm-sys/FastChat

★ 39kpushed May 1, 2026

Trust & integrity

SignalFATEFastChat
Maintenance
Dormant (599d 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
FATE trust reportFastChat trust reportTrust methodology

Tagline

FATE
An Industrial Grade Federated Learning Framework
FastChat
An open platform for training, serving, and evaluating large language models

Stars

FATE
6.1k
FastChat
39k

Forks

FATE
1.6k
FastChat
4.8k

Open issues

FATE
21
FastChat
1.0k

Language

FATE
Python
FastChat
Python

Adopt for

FATE
-
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

FATE
-
FastChat
-

Runtime

FATE
-
FastChat
-

License

FATE
Apache-2.0
FastChat
Apache-2.0

Last pushed

FATE
Nov 19, 2024
FastChat
May 1, 2026

Categories

FATE
Model Training, Computer Vision, Inference & Serving
FastChat
Model Training, LLM Frameworks, Evaluation & Observability, Inference & Serving

Trust and health

Maintenance

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

Days since push

FATE
599d
FastChat
71d

Open issues (now)

FATE
21
FastChat
1.0k

Full report

FATE
Trust report
FastChat
Trust report

Choose FATE if…

  • Tags unique to FATE: fate, algorithm, machine-learning, python.
  • Also covers Computer Vision.
  • Leaner open-issue backlog (21).

When NOT to use FATE

  • Last GitHub push was 599 days ago (dormant maintenance, Nov 19, 2024). Validate activity before betting a new project on FATE.
  • 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…

  • 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

FATE trust report →FastChat trust report →Model Training category →Computer Vision 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: FATE 6.1k · FastChat 39k (synced Jul 11, 2026).

Common questions

What is the difference between FATE and FastChat?
FATE: An Industrial Grade Federated Learning Framework. 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 FATE over FastChat?
Choose FATE over FastChat when Tags unique to FATE: fate, algorithm, machine-learning, python; Also covers Computer Vision; Leaner open-issue backlog (21).
When should I choose FastChat over FATE?
Choose FastChat over FATE when 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 FATE?
Last GitHub push was 599 days ago (dormant maintenance, Nov 19, 2024). Validate activity before betting a new project on FATE. 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 FATE or FastChat more popular on GitHub?
FastChat has more GitHub stars (39,490 vs 6,084). Stars measure visibility, not whether either tool fits your constraints.
Are FATE and FastChat open source?
Yes - both are open-source projects on GitHub (FATE: Apache-2.0, FastChat: Apache-2.0).
Where can I find alternatives to FATE or FastChat?
GraphCanon lists graph-backed alternatives at FATE alternatives and FastChat alternatives (FATE 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, FATE or FastChat?
FATE: 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 FATE and FastChat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FATE trust report; FastChat trust report.