Home/Compare/keras vs FastChat

Comparison

keras vs FastChat

Verdict

Pick keras when tags unique to keras: data-science, neural-networks, deep-learning, machine-learning; pick FastChat when tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.

Markdown twin · keras alternatives · FastChat alternatives

GraphCanon updated today

keras logo

keras

keras-team/keras

64kpushed Jul 7, 2026
vs
FastChat logo

FastChat

lm-sys/FastChat

39kpushed May 1, 2026

Trust & integrity

SignalkerasFastChat
Maintenance
Very active (4d 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

keras
Deep Learning for humans
FastChat
An open platform for training, serving, and evaluating large language models

Stars

keras
64k
FastChat
39k

Forks

keras
20k
FastChat
4.8k

Open issues

keras
228
FastChat
1.0k

Language

keras
Python
FastChat
Python

Adopt for

keras
-
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

keras
-
FastChat
-

Runtime

keras
-
FastChat
-

License

keras
Apache-2.0
FastChat
Apache-2.0

Last pushed

keras
Jul 7, 2026
FastChat
May 1, 2026

Categories

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

Trust and health

Maintenance

keras
Very active (96%)
FastChat
Steady (60%)

Days since push

keras
4d
FastChat
71d

Open issues (now)

keras
228
FastChat
1.0k

Security scan

keras
No criticals
FastChat
No lockfile

Full report

FastChat
Trust report

Shared compatibility

  • Python · keras: Python runtime · FastChat: Python runtime

Choose keras if…

  • Tags unique to keras: data-science, neural-networks, deep-learning, machine-learning.
  • More GitHub stars (64k vs 39k) - visibility, not fit.

When NOT to use keras

  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose FastChat if…

  • Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
  • Also covers LLM Frameworks, Inference & Serving, 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: keras 64k · FastChat 39k (synced Jul 11, 2026).

Common questions

What is the difference between keras and FastChat?
keras: Deep Learning for humans. 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 keras over FastChat?
Choose keras over FastChat when Tags unique to keras: data-science, neural-networks, deep-learning, machine-learning; More GitHub stars (64k vs 39k) - visibility, not fit.
When should I choose FastChat over keras?
Choose FastChat over keras when Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers LLM Frameworks, Inference & Serving, Evaluation & Observability; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
When should I avoid keras?
Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
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 keras or FastChat more popular on GitHub?
keras has more GitHub stars (64,191 vs 39,490). Stars measure visibility, not whether either tool fits your constraints.
Are keras and FastChat open source?
Yes - both are open-source projects on GitHub (keras: Apache-2.0, FastChat: Apache-2.0).
Where can I find alternatives to keras or FastChat?
GraphCanon lists graph-backed alternatives at keras alternatives and FastChat alternatives (keras 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, keras or FastChat?
keras: Very active. 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 keras and FastChat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: keras trust report; FastChat trust report.