Comparison
FastChat vs align-anything
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 align-anything if align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO.
Markdown twin · FastChat alternatives · align-anything alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | FastChat | align-anything |
|---|---|---|
| Maintenance | Slowing (98d since push) As of 1w · github_public_v1 | Slowing (263d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 2d · 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
- align-anything
- Training All-modality Model with Feedback
Stars
- FastChat
- 40k
- align-anything
- 4.7k
Forks
- FastChat
- 4.8k
- align-anything
- 505
Open issues
- FastChat
- 1.0k
- align-anything
- 32
Language
- FastChat
- Python
- align-anything
- 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
- align-anything
- Align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO.
Persona
- FastChat
- -
- align-anything
- -
Runtime
- FastChat
- -
- align-anything
- -
License
- FastChat
- Apache-2.0
- align-anything
- This tool operates under Apache License 2.0, allowing free use, modification, and distribution provided copyright notices are preserved.
Last pushed
- FastChat
- May 1, 2026
- align-anything
- Nov 27, 2025
Categories
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
- align-anything
- LLM Frameworks, Model Training
Trust and health
Days since push
- FastChat
- 98d
- align-anything
- 263d
Open issues (now)
- FastChat
- 1.0k
- align-anything
- 32
Stars delta
- FastChat
- Unknown
- align-anything
- +4 (30d)
Open issues delta
- FastChat
- Unknown
- align-anything
- 0 (30d)
Full report
- FastChat
- Trust report
- align-anything
- Trust report
Choose FastChat if…
- Tags unique to FastChat: chatbots, distributed-serving, evaluation system.
- Also covers Evaluation & Observability, Inference & Serving.
- - 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 align-anything if…
- Requirements: Python execution environment.
- Tags unique to align-anything: chameleon, dpo, multimodal, rlhf.
- align-anything ships Docker support for self-hosted deployment.
- - When you are developing a model that requires feedback from human evaluators and needs to handle different types of data (multimodal).
When NOT to use align-anything
- - When the model training does not benefit from advanced feedback mechanisms like RLHF or DPO.
- - For projects that do not require support for multiple data modalities.
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 (PKU-Alignment/align-anything) · observed Aug 17, 2026
- GitHub forks (PKU-Alignment/align-anything) · observed Aug 17, 2026
- Last push (PKU-Alignment/align-anything) · observed Nov 27, 2025
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 40k · align-anything 4.7k (synced Aug 7, 2026).
Common questions
- What is the difference between FastChat and align-anything?
- FastChat: An open platform for training, serving, and evaluating large language models. align-anything: Training All-modality Model with Feedback. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over align-anything?
- Choose FastChat over align-anything when Tags unique to FastChat: chatbots, distributed-serving, evaluation system; Also covers Evaluation & Observability, Inference & Serving; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I choose align-anything over FastChat?
- Choose align-anything over FastChat when Requirements: Python execution environment; Tags unique to align-anything: chameleon, dpo, multimodal, rlhf; align-anything ships Docker support for self-hosted deployment; - When you are developing a model that requires feedback from human evaluators and needs to handle different types of data (multimodal).
- 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 align-anything?
- - When the model training does not benefit from advanced feedback mechanisms like RLHF or DPO. - For projects that do not require support for multiple data modalities.
- Is FastChat or align-anything more popular on GitHub?
- FastChat has more GitHub stars (39,517 vs 4,666). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and align-anything open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, align-anything: Apache-2.0).
- Where can I find alternatives to FastChat or align-anything?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and align-anything alternatives (FastChat markdown twin, align-anything 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 align-anything?
- FastChat: Slowing. align-anything: 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 FastChat and align-anything?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; align-anything trust report.