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Comparison

FastEdit vs FastChat

Verdict

Pick FastEdit if fastEdit is a Python library for quick edits to large language models using PyTorch; 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.

Markdown twin · FastEdit alternatives · FastChat alternatives

GraphCanon updated 2w

FastEdit logo

FastEdit

hiyouga/FastEdit

★ 1.4kpushed Aug 13, 2023
vs
FastChat logo

FastChat

lm-sys/FastChat

★ 40kpushed May 1, 2026

Trust & integrity

SignalFastEditFastChat
Maintenance
Dormant (1086d since push)
As of 2w · github_public_v1
Slowing (98d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
Published findings
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
FastEdit trust reportFastChat trust reportTrust methodology

Tagline

FastEdit
Editing large language models within 10 seconds
FastChat
An open platform for training, serving, and evaluating large language models

Stars

FastEdit
1.4k
FastChat
40k

Forks

FastEdit
103
FastChat
4.8k

Open issues

FastEdit
21
FastChat
1.0k

Language

FastEdit
Python
FastChat
Python

Adopt for

FastEdit
FastEdit is a Python library for quick edits to large language models using PyTorch.
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

FastEdit
-
FastChat
-

Runtime

FastEdit
-
FastChat
-

License

FastEdit
Apache-2.0
FastChat
Apache-2.0

Last pushed

FastEdit
Aug 13, 2023
FastChat
May 1, 2026

Categories

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

Trust and health

Maintenance

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

Days since push

FastEdit
1086d
FastChat
98d

Open issues (now)

FastEdit
21
FastChat
1.0k

Owner type

FastEdit
User
FastChat
Organization

OSV dependency advisories

FastEdit
Published findings
FastChat
No lockfile (source not queried)

Full report

FastEdit
Trust report
FastChat
Trust report

Shared compatibility

  • Python · FastEdit: Python runtime · FastChat: Python runtime

Choose FastEdit if…

  • Requirements: Min -1 GB RAM; Requires Python 3.8+ and PyTorch 1.13.1+. Must also install 🤗Transformers, Datasets, Accelerate, sentencepiece, and fire.; Hardware requirements for a specific model can vary; refer to the provided table for minimum RAM sizes for different models..
  • Tags unique to FastEdit: bloom, chatgpt, falcon, gpt.
  • When rapid iterations on language model edits are necessary, such as testing and tuning with tight feedback loops.

When NOT to use FastEdit

  • If your workflow requires integration with TensorFlow instead of PyTorch, since FastEdit is built on top of PyTorch.
  • For hardware configurations that cannot meet the fast editing mode's requirements; for instance, if you have less than 24GB RAM available.
  • If rapid edits within seconds are not a priority and longer processing times can be tolerated.
GitHubDetails

Choose FastChat if…

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

Explore

FastEdit trust report →FastChat trust report →LLM Frameworks category →Evaluation & Observability category →Inference & Serving 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: FastEdit 1.4k · FastChat 40k (synced Aug 3, 2026).

Common questions

What is the difference between FastEdit and FastChat?
FastEdit: Editing large language models within 10 seconds. 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 FastEdit over FastChat?
Choose FastEdit over FastChat when Requirements: Min -1 GB RAM; Requires Python 3.8+ and PyTorch 1.13.1+. Must also install 🤗Transformers, Datasets, Accelerate, sentencepiece, and fire.; Hardware requirements for a specific model can vary; refer to the provided table for minimum RAM sizes for different models.; Tags unique to FastEdit: bloom, chatgpt, falcon, gpt; When rapid iterations on language model edits are necessary, such as testing and tuning with tight feedback loops.
When should I choose FastChat over FastEdit?
Choose FastChat over FastEdit when Tags unique to FastChat: distributed-serving, evaluation system; Also covers Evaluation & Observability, 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 FastEdit?
If your workflow requires integration with TensorFlow instead of PyTorch, since FastEdit is built on top of PyTorch. For hardware configurations that cannot meet the fast editing mode's requirements; for instance, if you have less than 24GB RAM available. If rapid edits within seconds are not a priority and longer processing times can be tolerated.
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 FastEdit or FastChat more popular on GitHub?
FastChat has more GitHub stars (39,517 vs 1,370). Stars measure visibility, not whether either tool fits your constraints.
Are FastEdit and FastChat open source?
Yes - both are open-source projects on GitHub (FastEdit: Apache-2.0, FastChat: Apache-2.0).
Where can I find alternatives to FastEdit or FastChat?
GraphCanon lists graph-backed alternatives at FastEdit alternatives and FastChat alternatives (FastEdit 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, FastEdit or FastChat?
FastEdit: Dormant. FastChat: Slowing. 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 FastEdit and FastChat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastEdit trust report; FastChat trust report.

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