Home/Compare/FastChat vs BIPIA

Comparison

FastChat vs BIPIA

Verdict

Pick FastChat when license: FastChat is Apache-2.0, BIPIA is Other; pick BIPIA when license: BIPIA is Other, FastChat is Apache-2.0.

Markdown twin · FastChat alternatives · BIPIA alternatives

GraphCanon updated today

FastChat logo

FastChat

lm-sys/FastChat

39kpushed May 1, 2026
vs
BIPIA logo

BIPIA

microsoft/BIPIA

145pushed Apr 15, 2024

Trust & integrity

SignalFastChatBIPIA
Maintenance
Steady (71d since push)
As of today · github_public_v1
Dormant (817d 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 lockfile
As of today · none
No lockfile
As of today · none

Tagline

FastChat
An open platform for training, serving, and evaluating large language models
BIPIA
A benchmark for evaluating the robustness of LLMs and defenses to indirect prompt injection attacks.

Stars

FastChat
39k
BIPIA
145

Forks

FastChat
4.8k
BIPIA
19

Open issues

FastChat
1.0k
BIPIA
4

Language

FastChat
Python
BIPIA
Python

Adopt for

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
BIPIA
-

Persona

FastChat
-
BIPIA
-

Runtime

FastChat
-
BIPIA
-

License

FastChat
Apache-2.0
BIPIA
Other

Last pushed

FastChat
May 1, 2026
BIPIA
Apr 15, 2024

Categories

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

Trust and health

Maintenance

FastChat
Steady (60%)
BIPIA
Dormant (18%)

Days since push

FastChat
71d
BIPIA
817d

Open issues (now)

FastChat
1.0k
BIPIA
4

Full report

FastChat
Trust report

Shared compatibility

  • Python · FastChat: Python runtime · BIPIA: Python runtime

Choose FastChat if…

  • License: FastChat is Apache-2.0, BIPIA is Other.
  • Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
  • Also covers Model Training, Inference & Serving.
  • - 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.

Choose BIPIA if…

  • License: BIPIA is Other, FastChat is Apache-2.0.
  • Tags unique to BIPIA: python, llm-security.
  • Leaner open-issue backlog (4).

When NOT to use BIPIA

  • Last GitHub push was 818 days ago (dormant maintenance, Apr 15, 2024). Validate activity before betting a new project on BIPIA.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

Explore

Sources

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

GitHub stars on cards: FastChat 39k · BIPIA 145 (synced Jul 11, 2026).

Common questions

What is the difference between FastChat and BIPIA?
FastChat: An open platform for training, serving, and evaluating large language models. BIPIA: A benchmark for evaluating the robustness of LLMs and defenses to indirect prompt injection attacks.. See the comparison table for live GitHub stats and shared categories.
When should I choose FastChat over BIPIA?
Choose FastChat over BIPIA when License: FastChat is Apache-2.0, BIPIA is Other; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers Model Training, Inference & Serving; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
When should I choose BIPIA over FastChat?
Choose BIPIA over FastChat when License: BIPIA is Other, FastChat is Apache-2.0; Tags unique to BIPIA: python, llm-security; Leaner open-issue backlog (4).
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.
When should I avoid BIPIA?
Last GitHub push was 818 days ago (dormant maintenance, Apr 15, 2024). Validate activity before betting a new project on BIPIA. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Is FastChat or BIPIA more popular on GitHub?
FastChat has more GitHub stars (39,490 vs 145). Stars measure visibility, not whether either tool fits your constraints.
Are FastChat and BIPIA open source?
Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, BIPIA: Other).
Where can I find alternatives to FastChat or BIPIA?
GraphCanon lists graph-backed alternatives at FastChat alternatives and BIPIA alternatives (FastChat markdown twin, BIPIA 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, FastChat or BIPIA?
FastChat: Steady. BIPIA: Dormant. 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 FastChat and BIPIA?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; BIPIA trust report.