Home/Compare/lanarky vs FastChat

Comparison

lanarky vs FastChat

Verdict

Pick lanarky if lanarky is a deprecated Python library for building LLM microservices, built on FastAPI; pick FastChat if fastChat is an open-source platform for training, serving, and evaluating large language models, including Vicuna, and supports Chatbot Arena, a platform for LLM evaluations with human feedback.

Markdown twin · lanarky alternatives · FastChat alternatives

GraphCanon updated Sep 20, 2026

11views this month

lanarky logo

lanarky

ajndkr/lanarky

★ 990pushed Jul 6, 2024
vs
FastChat logo

FastChat

lm-sys/FastChat

★ 40kpushed May 1, 2026

Trust & integrity

SignallanarkyFastChat
Maintenance
Archived (804d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (140d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · 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

Tagline

lanarky
A deprecated web framework for building LLM microservices
FastChat
An open platform for training, serving, and evaluating large language models

Stars

lanarky
990
FastChat
40k

Forks

lanarky
76
FastChat
4.8k

Open issues

lanarky
10
FastChat
1.0k

Language

lanarky
Python
FastChat
Python

Adopt for

lanarky
Lanarky is a deprecated Python library for building LLM microservices, built on FastAPI.
FastChat
FastChat is an open-source platform for training, serving, and evaluating large language models, including Vicuna, and supports Chatbot Arena, a platform for LLM evaluations with human feedback.

Persona

lanarky
-
FastChat
-

Runtime

lanarky
-
FastChat
-

License

lanarky
Lanarky is distributed under the MIT License, allowing for broad usage and modification.
FastChat
Apache-2.0

Last pushed

lanarky
Jul 6, 2024
FastChat
May 1, 2026

Categories

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

Trust and health

Maintenance

lanarky
Archived (8%)
FastChat
Slowing (36%)

Days since push

lanarky
804d
FastChat
140d

Archived on GitHub

lanarky
Yes
FastChat
No

Open issues (now)

lanarky
10
FastChat
1.0k

Stars delta

lanarky
-2 (30d)
FastChat
+19 (30d)

Open issues delta

lanarky
+1 (30d)
FastChat
+5 (30d)

Owner type

lanarky
User
FastChat
Organization

Full report

FastChat
Trust report

Shared compatibility

  • Python · lanarky: Python runtime · FastChat: Python runtime

Choose lanarky if…

  • License: lanarky is MIT, FastChat is Apache-2.0.
  • Pricing: The library is free to use, but as it is deprecated, there is no paid support or updates available..
  • Requirements: Min 1 GB RAM; Lanarky requires Python and can be installed via pip..
  • Tags unique to lanarky: deprecated-repo, fastapi, llmops, microservices.
  • Use Lanarky if you are working on legacy projects that already depend on it and need to maintain compatibility.

When NOT to use lanarky

  • Avoid Lanarky for new projects due to its deprecated status, which implies lack of ongoing support and updates.
  • Do not use if you require a framework that is actively maintained and updated to support the latest LLM technologies.

Choose FastChat if…

  • License: FastChat is Apache-2.0, lanarky is MIT.
  • Tags unique to FastChat: chatbot arena, llm-evaluation, multi-model serving, openai-compatible apis.
  • Also covers Evaluation & Observability, Model Training.
  • When you need a platform that supports both training and evaluation of large language models, such as Vicuna, and you want to leverage human feedback for model evaluation.

When NOT to use FastChat

  • If you are looking for a platform that focuses solely on model training without serving or evaluation capabilities, FastChat offers a comprehensive suite that might be more than you need.
  • If your project does not require human feedback for model evaluation, FastChat's integration with Chatbot Arena might be an unnecessary feature.
  • If you are working with proprietary or closed-source models, FastChat's open-source nature and reliance on open-source models like Vicuna might not align with your project requirements.

Explore

Sources

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

GitHub stars on cards: lanarky 990 · FastChat 40k (synced Sep 20, 2026).

Common questions

What is the difference between lanarky and FastChat?
lanarky: A deprecated web framework for building LLM microservices. 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 lanarky over FastChat?
Choose lanarky over FastChat when License: lanarky is MIT, FastChat is Apache-2.0; Pricing: The library is free to use, but as it is deprecated, there is no paid support or updates available.; Requirements: Min 1 GB RAM; Lanarky requires Python and can be installed via pip.; Tags unique to lanarky: deprecated-repo, fastapi, llmops, microservices; Use Lanarky if you are working on legacy projects that already depend on it and need to maintain compatibility.
When should I choose FastChat over lanarky?
Choose FastChat over lanarky when License: FastChat is Apache-2.0, lanarky is MIT; Tags unique to FastChat: chatbot arena, llm-evaluation, multi-model serving, openai-compatible apis; Also covers Evaluation & Observability, Model Training; When you need a platform that supports both training and evaluation of large language models, such as Vicuna, and you want to leverage human feedback for model evaluation.
When should I avoid lanarky?
Avoid Lanarky for new projects due to its deprecated status, which implies lack of ongoing support and updates. Do not use if you require a framework that is actively maintained and updated to support the latest LLM technologies.
When should I avoid FastChat?
If you are looking for a platform that focuses solely on model training without serving or evaluation capabilities, FastChat offers a comprehensive suite that might be more than you need. If your project does not require human feedback for model evaluation, FastChat's integration with Chatbot Arena might be an unnecessary feature. If you are working with proprietary or closed-source models, FastChat's open-source nature and reliance on open-source models like Vicuna might not align with your project requirements.
Is lanarky or FastChat more popular on GitHub?
FastChat has more GitHub stars (39,536 vs 990). Stars measure visibility, not whether either tool fits your constraints.
Are lanarky and FastChat open source?
Yes - both are open-source projects on GitHub (lanarky: MIT, FastChat: Apache-2.0).
Where can I find alternatives to lanarky or FastChat?
GraphCanon lists graph-backed alternatives at lanarky alternatives and FastChat alternatives (lanarky 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, lanarky or FastChat?
lanarky: Archived. 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 lanarky and FastChat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lanarky trust report; FastChat trust report.

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