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Comparison

litgpt vs FastChat

Verdict

Pick litgpt if litGPT offers extensive support for high-performance LLMs with comprehensive workflows for pretraining, fine-tuning, and deployment; 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 · litgpt alternatives · FastChat alternatives

GraphCanon updated 2w

litgpt logo

litgpt

Lightning-AI/litgpt

★ 14kpushed Jul 20, 2026
vs
FastChat logo

FastChat

lm-sys/FastChat

★ 40kpushed May 1, 2026

Trust & integrity

SignallitgptFastChat
Maintenance
Active (17d since push)
As of 2w · github_public_v1
Slowing (98d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · 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
litgpt trust reportFastChat trust reportTrust methodology

Tagline

litgpt
High-performance LLMs with recipes for pretraining, finetuning and deployment
FastChat
An open platform for training, serving, and evaluating large language models

Stars

litgpt
14k
FastChat
40k

Forks

litgpt
1.5k
FastChat
4.8k

Open issues

litgpt
272
FastChat
1.0k

Language

litgpt
Python
FastChat
Python

Adopt for

litgpt
LitGPT offers extensive support for high-performance LLMs with comprehensive workflows for pretraining, fine-tuning, and deployment.
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

litgpt
-
FastChat
-

Runtime

litgpt
-
FastChat
-

License

litgpt
LitGPT operates under the open-source Apache-2.0 license, providing permissive terms for use and modification.
FastChat
Apache-2.0

Last pushed

litgpt
Jul 20, 2026
FastChat
May 1, 2026

Categories

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

Trust and health

Maintenance

litgpt
Active (82%)
FastChat
Slowing (36%)

Days since push

litgpt
17d
FastChat
98d

Open issues (now)

litgpt
272
FastChat
1.0k

Stars delta

litgpt
+137 (30d)
FastChat
Unknown

Open issues delta

litgpt
+6 (30d)
FastChat
Unknown

Full report

litgpt
Trust report
FastChat
Trust report

Shared compatibility

  • Python · litgpt: Python runtime · FastChat: Python runtime

Choose litgpt if…

  • Pricing: The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models..
  • Requirements: Min 16 GB RAM.
  • Tags unique to litgpt: ai, artificial-intelligence, deep-learning, llm-inference.
  • If you are focusing on a project that requires rapid prototyping or experimentation with over 20 different LLMs to find the best fit for your application.

When NOT to use litgpt

  • If you need a tool specifically optimized for resource-constrained devices, as LitGPT focuses on high-performance LLMs and may require more resources.
  • When your project is strictly limited to only one or two types of specific LLMs; in this case, another specialized framework that caters narrowly might be preferable.
GitHubDetails

Choose FastChat if…

  • Tags unique to FastChat: chatbots, distributed-serving, evaluation system.
  • Also covers 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

litgpt trust report →FastChat trust report →Inference & Serving category →LLM Frameworks category →Model Training 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: litgpt 14k · FastChat 40k (synced Aug 7, 2026).

Common questions

What is the difference between litgpt and FastChat?
litgpt: High-performance LLMs with recipes for pretraining, finetuning and deployment. 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 litgpt over FastChat?
Choose litgpt over FastChat when Pricing: The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models.; Requirements: Min 16 GB RAM; Tags unique to litgpt: ai, artificial-intelligence, deep-learning, llm-inference; If you are focusing on a project that requires rapid prototyping or experimentation with over 20 different LLMs to find the best fit for your application.
When should I choose FastChat over litgpt?
Choose FastChat over litgpt when Tags unique to FastChat: chatbots, distributed-serving, evaluation system; Also covers Evaluation & Observability; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
When should I avoid litgpt?
If you need a tool specifically optimized for resource-constrained devices, as LitGPT focuses on high-performance LLMs and may require more resources. When your project is strictly limited to only one or two types of specific LLMs; in this case, another specialized framework that caters narrowly might be preferable.
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 litgpt or FastChat more popular on GitHub?
FastChat has more GitHub stars (39,517 vs 13,605). Stars measure visibility, not whether either tool fits your constraints.
Are litgpt and FastChat open source?
Yes - both are open-source projects on GitHub (litgpt: Apache-2.0, FastChat: Apache-2.0).
Where can I find alternatives to litgpt or FastChat?
GraphCanon lists graph-backed alternatives at litgpt alternatives and FastChat alternatives (litgpt 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, litgpt or FastChat?
litgpt: Active. 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 litgpt and FastChat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litgpt trust report; FastChat trust report.

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