Home/Compare/leva vs FastChat

Comparison

leva vs FastChat

Verdict

Pick leva when leva is primarily Ruby; FastChat is Python; pick FastChat when fastChat is primarily Python; leva is Ruby.

Markdown twin · leva alternatives · FastChat alternatives

GraphCanon updated today

leva logo

leva

kieranklaassen/leva

141pushed Jun 3, 2026
vs
FastChat logo

FastChat

lm-sys/FastChat

39kpushed May 1, 2026

Trust & integrity

SignallevaFastChat
Maintenance
Steady (37d since push)
As of today · github_public_v1
Steady (71d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of 1d · none

Tagline

leva
LLM Evaluation Framework for Rails apps to be used with production data.
FastChat
An open platform for training, serving, and evaluating large language models

Stars

leva
141
FastChat
39k

Forks

leva
7
FastChat
4.8k

Open issues

leva
4
FastChat
1.0k

Language

leva
Ruby
FastChat
Python

Adopt for

leva
-
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

leva
-
FastChat
-

Runtime

leva
-
FastChat
-

License

leva
MIT
FastChat
Apache-2.0

Last pushed

leva
Jun 3, 2026
FastChat
May 1, 2026

Categories

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

Trust and health

Days since push

leva
37d
FastChat
71d

Open issues (now)

leva
4
FastChat
1.0k

Owner type

leva
User
FastChat
Organization

Full report

FastChat
Trust report

Choose leva if…

  • leva is primarily Ruby; FastChat is Python.
  • License: leva is MIT, FastChat is Apache-2.0.
  • Tags unique to leva: llm, llm-evaluation, ruby, ruby-on-rails.

When NOT to use leva

  • 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.

Choose FastChat if…

  • FastChat is primarily Python; leva is Ruby.
  • License: FastChat is Apache-2.0, leva is MIT.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: leva 141 · FastChat 39k (synced Jul 11, 2026).

Common questions

What is the difference between leva and FastChat?
leva: LLM Evaluation Framework for Rails apps to be used with production data.. 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 leva over FastChat?
Choose leva over FastChat when leva is primarily Ruby; FastChat is Python; License: leva is MIT, FastChat is Apache-2.0; Tags unique to leva: llm, llm-evaluation, ruby, ruby-on-rails.
When should I choose FastChat over leva?
Choose FastChat over leva when FastChat is primarily Python; leva is Ruby; License: FastChat is Apache-2.0, leva is MIT; 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 leva?
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 leva or FastChat more popular on GitHub?
FastChat has more GitHub stars (39,490 vs 141). Stars measure visibility, not whether either tool fits your constraints.
Are leva and FastChat open source?
Yes - both are open-source projects on GitHub (leva: MIT, FastChat: Apache-2.0).
Where can I find alternatives to leva or FastChat?
GraphCanon lists graph-backed alternatives at leva alternatives and FastChat alternatives (leva 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, leva or FastChat?
leva: Steady. 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 leva and FastChat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: leva trust report; FastChat trust report.