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Comparison

uqlm vs FastChat

Verdict

Pick uqlm when tags unique to uqlm: ai evaluation, ai-safety, confidence-estimation, confidence-score; pick FastChat when tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models.

Markdown twin · uqlm alternatives · FastChat alternatives

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uqlm logo

uqlm

cvs-health/uqlm

★ 1.2kpushed Jul 9, 2026
vs
FastChat logo

FastChat

lm-sys/FastChat

★ 39kpushed May 1, 2026

Trust & integrity

SignaluqlmFastChat
Maintenance
Very active (1d since push)
As of 1d · github_public_v1
Steady (71d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of 1d · none
uqlm trust reportFastChat trust reportTrust methodology

Tagline

uqlm
UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection
FastChat
An open platform for training, serving, and evaluating large language models

Stars

uqlm
1.2k
FastChat
39k

Forks

uqlm
126
FastChat
4.8k

Open issues

uqlm
23
FastChat
1.0k

Language

uqlm
Python
FastChat
Python

Adopt for

uqlm
-
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

uqlm
-
FastChat
-

Runtime

uqlm
-
FastChat
-

License

uqlm
Apache-2.0
FastChat
Apache-2.0

Last pushed

uqlm
Jul 9, 2026
FastChat
May 1, 2026

Categories

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

Trust and health

Maintenance

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

Days since push

uqlm
1d
FastChat
71d

Open issues (now)

uqlm
23
FastChat
1.0k

Full report

uqlm
Trust report
FastChat
Trust report

Shared compatibility

  • Python · uqlm: Python runtime · FastChat: Python runtime

Choose uqlm if…

  • Tags unique to uqlm: ai evaluation, ai-safety, confidence-estimation, confidence-score.
  • Also covers Computer Vision.
  • More recently updated (last pushed Jul 9, 2026).

When NOT to use uqlm

  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Choose FastChat if…

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

uqlm trust report →FastChat trust report →Computer Vision category →Evaluation & Observability category →LLM Frameworks 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: uqlm 1.2k · FastChat 39k (synced Jul 11, 2026).

Common questions

What is the difference between uqlm and FastChat?
uqlm: UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection. 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 uqlm over FastChat?
Choose uqlm over FastChat when Tags unique to uqlm: ai evaluation, ai-safety, confidence-estimation, confidence-score; Also covers Computer Vision; More recently updated (last pushed Jul 9, 2026).
When should I choose FastChat over uqlm?
Choose FastChat over uqlm when Tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models; Also covers 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 uqlm?
Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 uqlm or FastChat more popular on GitHub?
FastChat has more GitHub stars (39,490 vs 1,183). Stars measure visibility, not whether either tool fits your constraints.
Are uqlm and FastChat open source?
Yes - both are open-source projects on GitHub (uqlm: Apache-2.0, FastChat: Apache-2.0).
Where can I find alternatives to uqlm or FastChat?
GraphCanon lists graph-backed alternatives at uqlm alternatives and FastChat alternatives (uqlm 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, uqlm or FastChat?
uqlm: 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 uqlm and FastChat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: uqlm trust report; FastChat trust report.