Comparison
FastChat vs langcorn
Verdict
Pick FastChat if 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; pick langcorn if langCorn is a tool that serves LangChain LLM apps and agents with FastApi.
Markdown twin · FastChat alternatives · langcorn alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | FastChat | langcorn |
|---|---|---|
| Maintenance | Slowing (98d since push) As of 1w · github_public_v1 | Dormant (735d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · 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
- langcorn
- Serving LangChain LLM apps and agents automagically with FastApi
Stars
- FastChat
- 40k
- langcorn
- 938
Forks
- FastChat
- 4.8k
- langcorn
- 69
Open issues
- FastChat
- 1.0k
- langcorn
- 21
Language
- FastChat
- Python
- langcorn
- 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
- langcorn
- LangCorn is a tool that serves LangChain LLM apps and agents with FastApi.
Persona
- FastChat
- -
- langcorn
- -
Runtime
- FastChat
- -
- langcorn
- -
License
- FastChat
- Apache-2.0
- langcorn
- MIT
Last pushed
- FastChat
- May 1, 2026
- langcorn
- Jul 15, 2024
Categories
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
- langcorn
- Inference & Serving
Trust and health
Maintenance
- FastChat
- Slowing (36%)
- langcorn
- Dormant (18%)
Days since push
- FastChat
- 98d
- langcorn
- 735d
Open issues (now)
- FastChat
- 1.0k
- langcorn
- 21
Owner type
- FastChat
- Organization
- langcorn
- User
OSV dependency advisories
- FastChat
- No lockfile (source not queried)
- langcorn
- Published findings
Full report
- FastChat
- Trust report
- langcorn
- Trust report
Shared compatibility
- Python · FastChat: Python runtime · langcorn: Python runtime
Choose FastChat if…
- License: FastChat is Apache-2.0, langcorn is MIT.
- Tags unique to FastChat: chatbots, distributed-serving, evaluation system.
- 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 langcorn if…
- License: langcorn is MIT, FastChat is Apache-2.0.
- Tags unique to langcorn: api, fastapi, langchain, llm.
- When you are deploying applications built with Large Language Models (LLMs) like OpenAI.
When NOT to use langcorn
- When you require a framework other than FastAPI for your deployment needs.
- If you are looking for broader support beyond LangChain-compatible projects.
- In cases where minimal integration with the current infrastructure is not acceptable, as LangCorn requires specific adaptation steps.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lm-sys/FastChat) · observed Aug 7, 2026
- GitHub forks (lm-sys/FastChat) · observed Aug 7, 2026
- Last push (lm-sys/FastChat) · observed May 1, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (msoedov/langcorn) · observed Jul 21, 2026
- GitHub forks (msoedov/langcorn) · observed Jul 21, 2026
- Last push (msoedov/langcorn) · observed Jul 15, 2024
- License file (MIT) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 40k · langcorn 938 (synced Aug 7, 2026).
Common questions
- What is the difference between FastChat and langcorn?
- FastChat: An open platform for training, serving, and evaluating large language models. langcorn: Serving LangChain LLM apps and agents automagically with FastApi. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over langcorn?
- Choose FastChat over langcorn when License: FastChat is Apache-2.0, langcorn is MIT; Tags unique to FastChat: chatbots, distributed-serving, evaluation system; 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 langcorn over FastChat?
- Choose langcorn over FastChat when License: langcorn is MIT, FastChat is Apache-2.0; Tags unique to langcorn: api, fastapi, langchain, llm; When you are deploying applications built with Large Language Models (LLMs) like OpenAI.
- 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 langcorn?
- When you require a framework other than FastAPI for your deployment needs. If you are looking for broader support beyond LangChain-compatible projects. In cases where minimal integration with the current infrastructure is not acceptable, as LangCorn requires specific adaptation steps.
- Is FastChat or langcorn more popular on GitHub?
- FastChat has more GitHub stars (39,517 vs 938). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and langcorn open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, langcorn: MIT).
- Where can I find alternatives to FastChat or langcorn?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and langcorn alternatives (FastChat markdown twin, langcorn 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 langcorn?
- FastChat: Slowing. langcorn: 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 langcorn?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; langcorn trust report.