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Comparison

FastChat vs alice

Verdict

Pick FastChat when fastChat is primarily Python; alice is JavaScript; pick alice when alice is primarily JavaScript; FastChat is Python.

Markdown twin · FastChat alternatives · alice alternatives

GraphCanon updated today

FastChat logo

FastChat

lm-sys/FastChat

★ 39kpushed May 1, 2026
vs
alice logo

alice

simoncirstoiu/alice

★ 366pushed Apr 26, 2026

Trust & integrity

SignalFastChatalice
Maintenance
Steady (71d since push)
As of today · github_public_v1
Steady (75d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none
FastChat trust reportalice trust reportTrust methodology

Tagline

FastChat
An open platform for training, serving, and evaluating large language models
alice
Analyse · Learn · Ingest · Curate · Export — AI-powered YOLO dataset management toolkit

Stars

FastChat
39k
alice
366

Forks

FastChat
4.8k
alice
34

Open issues

FastChat
1.0k
alice
0

Language

FastChat
Python
alice
JavaScript

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
alice
-

Persona

FastChat
-
alice
-

Runtime

FastChat
-
alice
-

License

FastChat
Apache-2.0
alice
Other

Last pushed

FastChat
May 1, 2026
alice
Apr 26, 2026

Categories

FastChat
Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability
alice
Vector Databases, Model Training, Inference & Serving

Trust and health

Days since push

FastChat
71d
alice
75d

Open issues (now)

FastChat
1.0k
alice
0

Owner type

FastChat
Organization
alice
User

Full report

FastChat
Trust report
alice
Trust report

Shared compatibility

  • Python · FastChat: Python runtime · alice: Python runtime

Choose FastChat if…

  • FastChat is primarily Python; alice is JavaScript.
  • License: FastChat is Apache-2.0, alice is Other.
  • Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
  • Also covers LLM Frameworks, 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

Choose alice if…

  • alice is primarily JavaScript; FastChat is Python.
  • License: alice is Other, FastChat is Apache-2.0.
  • Tags unique to alice: nvidia-cuda, ai, dataset, annotation.
  • Also covers Vector Databases.
  • alice ships Docker support for self-hosted deployment.

When NOT to use alice

  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
GitHubDetails

Explore

FastChat trust report →alice trust report →Model Training category →LLM Frameworks category →Inference & Serving category →Evaluation & Observability category →Vector Databases 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: FastChat 39k · alice 366 (synced Jul 11, 2026).

Common questions

What is the difference between FastChat and alice?
FastChat: An open platform for training, serving, and evaluating large language models. alice: Analyse · Learn · Ingest · Curate · Export — AI-powered YOLO dataset management toolkit. See the comparison table for live GitHub stats and shared categories.
When should I choose FastChat over alice?
Choose FastChat over alice when FastChat is primarily Python; alice is JavaScript; License: FastChat is Apache-2.0, alice is Other; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers LLM Frameworks, Evaluation & Observability; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
When should I choose alice over FastChat?
Choose alice over FastChat when alice is primarily JavaScript; FastChat is Python; License: alice is Other, FastChat is Apache-2.0; Tags unique to alice: nvidia-cuda, ai, dataset, annotation; Also covers Vector Databases; alice ships Docker support for self-hosted deployment.
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 alice?
Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is FastChat or alice more popular on GitHub?
FastChat has more GitHub stars (39,490 vs 366). Stars measure visibility, not whether either tool fits your constraints.
Are FastChat and alice open source?
Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, alice: Other).
Where can I find alternatives to FastChat or alice?
GraphCanon lists graph-backed alternatives at FastChat alternatives and alice alternatives (FastChat markdown twin, alice 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 alice?
FastChat: Steady. alice: 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 FastChat and alice?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; alice trust report.