Comparison
FastChat vs BMTrain
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 BMTrain if bMTrain: Efficient Training for Big Models in Python.
Markdown twin · FastChat alternatives · BMTrain alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | FastChat | BMTrain |
|---|---|---|
| Maintenance | Slowing (98d since push) As of 2w · github_public_v1 | Steady (30d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- BMTrain
- Efficient Training for Big Models
Stars
- FastChat
- 40k
- BMTrain
- 623
Forks
- FastChat
- 4.8k
- BMTrain
- 88
Open issues
- FastChat
- 1.0k
- BMTrain
- 10
Language
- FastChat
- Python
- BMTrain
- 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
- BMTrain
- BMTrain: Efficient Training for Big Models in Python.
Persona
- FastChat
- -
- BMTrain
- -
Runtime
- FastChat
- -
- BMTrain
- -
License
- FastChat
- Apache-2.0
- BMTrain
- Apache-2.0
Last pushed
- FastChat
- May 1, 2026
- BMTrain
- Jul 7, 2026
Categories
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
- BMTrain
- Model Training
Trust and health
Maintenance
- FastChat
- Slowing (36%)
- BMTrain
- Steady (60%)
Days since push
- FastChat
- 98d
- BMTrain
- 30d
Open issues (now)
- FastChat
- 1.0k
- BMTrain
- 10
Full report
- FastChat
- Trust report
- BMTrain
- Trust report
Shared compatibility
- Python · FastChat: Python runtime · BMTrain: Python runtime
Choose FastChat if…
- Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large language models.
- Also covers Evaluation & Observability, Inference & Serving, LLM Frameworks.
- - 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 BMTrain if…
- Tags unique to BMTrain: apache-2.0-license, big model, fine-tuning, pre-training.
- BMTrain ships Docker support for self-hosted deployment.
- Need efficient pre-training or fine-tuning of large scale models
When NOT to use BMTrain
- Seeking a tool that installs without compiling C/CUDA source code
- Require immediate setup; BMTrain's installation might be time-consuming due to compilation 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 (OpenBMB/BMTrain) · observed Aug 7, 2026
- GitHub forks (OpenBMB/BMTrain) · observed Aug 7, 2026
- Last push (OpenBMB/BMTrain) · observed Jul 7, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 40k · BMTrain 623 (synced Aug 7, 2026).
Common questions
- What is the difference between FastChat and BMTrain?
- FastChat: An open platform for training, serving, and evaluating large language models. BMTrain: Efficient Training for Big Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over BMTrain?
- Choose FastChat over BMTrain when Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large language models; Also covers Evaluation & Observability, Inference & Serving, LLM Frameworks; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I choose BMTrain over FastChat?
- Choose BMTrain over FastChat when Tags unique to BMTrain: apache-2.0-license, big model, fine-tuning, pre-training; BMTrain ships Docker support for self-hosted deployment; Need efficient pre-training or fine-tuning of large scale models.
- 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 BMTrain?
- Seeking a tool that installs without compiling C/CUDA source code Require immediate setup; BMTrain's installation might be time-consuming due to compilation steps
- Is FastChat or BMTrain more popular on GitHub?
- FastChat has more GitHub stars (39,517 vs 623). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and BMTrain open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, BMTrain: Apache-2.0).
- Where can I find alternatives to FastChat or BMTrain?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and BMTrain alternatives (FastChat markdown twin, BMTrain 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 BMTrain?
- FastChat: Slowing. BMTrain: 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 BMTrain?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; BMTrain trust report.