Comparison
FastChat vs CodeRL
Verdict
Pick FastChat when license: FastChat is Apache-2.0, CodeRL is BSD-3-Clause; pick CodeRL when license: CodeRL is BSD-3-Clause, FastChat is Apache-2.0.
Markdown twin · FastChat alternatives · CodeRL alternatives
GraphCanon updated today
Trust & integrity
| Signal | FastChat | CodeRL |
|---|---|---|
| Maintenance | Steady (71d since push) As of today · github_public_v1 | Steady (39d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 29 low (29 low) As of today · osv@v1 |
Tagline
- FastChat
- An open platform for training, serving, and evaluating large language models
- CodeRL
- This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
Stars
- FastChat
- 39k
- CodeRL
- 572
Forks
- FastChat
- 4.8k
- CodeRL
- 68
Open issues
- FastChat
- 1.0k
- CodeRL
- 42
Language
- FastChat
- Python
- CodeRL
- 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
- CodeRL
- -
Persona
- FastChat
- -
- CodeRL
- -
Runtime
- FastChat
- -
- CodeRL
- -
License
- FastChat
- Apache-2.0
- CodeRL
- BSD-3-Clause
Last pushed
- FastChat
- May 1, 2026
- CodeRL
- Jun 2, 2026
Categories
- FastChat
- Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability
- CodeRL
- Model Training, Evaluation & Observability
Trust and health
Days since push
- FastChat
- 71d
- CodeRL
- 39d
Open issues (now)
- FastChat
- 1.0k
- CodeRL
- 42
Security scan
- FastChat
- No lockfile
- CodeRL
- 29 low (29 low)
Full report
- FastChat
- Trust report
- CodeRL
- Trust report
Shared compatibility
- Python · FastChat: Python runtime · CodeRL: Python runtime
Choose FastChat if…
- License: FastChat is Apache-2.0, CodeRL is BSD-3-Clause.
- Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
- Also covers LLM Frameworks, 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 CodeRL if…
- License: CodeRL is BSD-3-Clause, FastChat is Apache-2.0.
- Tags unique to CodeRL: reinforcementlearning, programsynthesis, machinelearning, ai.
- More recently updated (last pushed Jun 2, 2026).
When NOT to use CodeRL
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
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 Jul 11, 2026
- GitHub forks (lm-sys/FastChat) · observed Jul 11, 2026
- Last push (lm-sys/FastChat) · observed May 1, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (salesforce/CodeRL) · observed Jul 11, 2026
- GitHub forks (salesforce/CodeRL) · observed Jul 11, 2026
- Last push (salesforce/CodeRL) · observed Jun 2, 2026
- License file (BSD-3-Clause) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 39k · CodeRL 572 (synced Jul 11, 2026).
Common questions
- What is the difference between FastChat and CodeRL?
- FastChat: An open platform for training, serving, and evaluating large language models. CodeRL: This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over CodeRL?
- Choose FastChat over CodeRL when License: FastChat is Apache-2.0, CodeRL is BSD-3-Clause; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers LLM Frameworks, Inference & Serving; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I choose CodeRL over FastChat?
- Choose CodeRL over FastChat when License: CodeRL is BSD-3-Clause, FastChat is Apache-2.0; Tags unique to CodeRL: reinforcementlearning, programsynthesis, machinelearning, ai; More recently updated (last pushed Jun 2, 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 CodeRL?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is FastChat or CodeRL more popular on GitHub?
- FastChat has more GitHub stars (39,490 vs 572). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and CodeRL open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, CodeRL: BSD-3-Clause).
- Where can I find alternatives to FastChat or CodeRL?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and CodeRL alternatives (FastChat markdown twin, CodeRL 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 CodeRL?
- FastChat: Steady. CodeRL: 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 CodeRL?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; CodeRL trust report.