Home/Compare/FastChat vs viewflow

Comparison

FastChat vs viewflow

Verdict

Pick FastChat when license: FastChat is Apache-2.0, viewflow is AGPL-3.0; pick viewflow when license: viewflow is AGPL-3.0, FastChat is Apache-2.0.

Markdown twin · FastChat alternatives · viewflow alternatives

GraphCanon updated today

FastChat logo

FastChat

lm-sys/FastChat

39kpushed May 1, 2026
vs
viewflow logo

viewflow

viewflow/viewflow

2.9kpushed Jul 6, 2026

Trust & integrity

SignalFastChatviewflow
Maintenance
Steady (74d since push)
As of 1d · github_public_v1
Active (9d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 4d · osv@v1
No lockfile (source not queried)
As of today · 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

FastChat
An open platform for training, serving, and evaluating large language models
viewflow
Reusable workflow library for Django

Stars

FastChat
39k
viewflow
2.9k

Forks

FastChat
4.8k
viewflow
412

Open issues

FastChat
1.0k
viewflow
9

Language

FastChat
Python
viewflow
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
viewflow
-

Persona

FastChat
-
viewflow
-

Runtime

FastChat
-
viewflow
-

License

FastChat
Apache-2.0
viewflow
AGPL-3.0

Last pushed

FastChat
May 1, 2026
viewflow
Jul 6, 2026

Categories

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

Trust and health

Maintenance

FastChat
Steady (60%)
viewflow
Active (82%)

Days since push

FastChat
74d
viewflow
9d

Open issues (now)

FastChat
1.0k
viewflow
9

Full report

FastChat
Trust report
viewflow
Trust report

Shared compatibility

  • Python · FastChat: Python runtime · viewflow: Python runtime

Choose FastChat if…

  • License: FastChat is Apache-2.0, viewflow is AGPL-3.0.
  • Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large-language-models.
  • Also covers Evaluation & Observability, LLM Frameworks, 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.

Choose viewflow if…

  • License: viewflow is AGPL-3.0, FastChat is Apache-2.0.
  • Tags unique to viewflow: bpmn, django, process-engine, python.
  • More recently updated (last pushed Jul 6, 2026).

When NOT to use viewflow

  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

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 · viewflow 2.9k (synced Jul 14, 2026).

Common questions

What is the difference between FastChat and viewflow?
FastChat: An open platform for training, serving, and evaluating large language models. viewflow: Reusable workflow library for Django. See the comparison table for live GitHub stats and shared categories.
When should I choose FastChat over viewflow?
Choose FastChat over viewflow when License: FastChat is Apache-2.0, viewflow is AGPL-3.0; Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large-language-models; Also covers Evaluation & Observability, LLM Frameworks, Model Training; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
When should I choose viewflow over FastChat?
Choose viewflow over FastChat when License: viewflow is AGPL-3.0, FastChat is Apache-2.0; Tags unique to viewflow: bpmn, django, process-engine, python; More recently updated (last pushed Jul 6, 2026).
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 viewflow?
Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is FastChat or viewflow more popular on GitHub?
FastChat has more GitHub stars (39,494 vs 2,865). Stars measure visibility, not whether either tool fits your constraints.
Are FastChat and viewflow open source?
Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, viewflow: AGPL-3.0).
Where can I find alternatives to FastChat or viewflow?
GraphCanon lists graph-backed alternatives at FastChat alternatives and viewflow alternatives (FastChat markdown twin, viewflow 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 viewflow?
FastChat: Steady. viewflow: Active. 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 viewflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; viewflow trust report.

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