Comparison
FastChat vs ncnn
Verdict
Pick FastChat when fastChat is primarily Python; ncnn is C++; pick ncnn when ncnn is primarily C++; FastChat is Python.
Markdown twin · FastChat alternatives · ncnn alternatives
GraphCanon updated today
Trust & integrity
| Signal | FastChat | ncnn |
|---|---|---|
| Maintenance | Steady (71d since push) As of 1d · github_public_v1 | Very active (3d 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 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of today · none |
Tagline
- FastChat
- An open platform for training, serving, and evaluating large language models
- ncnn
- ncnn is a high-performance neural network inference framework optimized for the mobile platform
Stars
- FastChat
- 39k
- ncnn
- 24k
Forks
- FastChat
- 4.8k
- ncnn
- 4.5k
Open issues
- FastChat
- 1.0k
- ncnn
- 1.2k
Language
- FastChat
- Python
- ncnn
- C++
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
- ncnn
- -
Persona
- FastChat
- -
- ncnn
- -
Runtime
- FastChat
- -
- ncnn
- -
License
- FastChat
- Apache-2.0
- ncnn
- Other
Last pushed
- FastChat
- May 1, 2026
- ncnn
- Jul 8, 2026
Categories
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
- ncnn
- Evaluation & Observability, Inference & Serving, Model Training
Trust and health
Maintenance
- FastChat
- Steady (60%)
- ncnn
- Very active (96%)
Days since push
- FastChat
- 71d
- ncnn
- 3d
Open issues (now)
- FastChat
- 1.0k
- ncnn
- 1.2k
Full report
- FastChat
- Trust report
- ncnn
- Trust report
Shared compatibility
- Python · FastChat: Python runtime · ncnn: Python runtime
Choose FastChat if…
- FastChat is primarily Python; ncnn is C++.
- License: FastChat is Apache-2.0, ncnn is Other.
- Tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models.
- Also covers 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 ncnn if…
- ncnn is primarily C++; FastChat is Python.
- License: ncnn is Other, FastChat is Apache-2.0.
- Tags unique to ncnn: android, arm-neon, artificial-intelligence, caffe.
When NOT to use ncnn
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
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 (Tencent/ncnn) · observed Jul 11, 2026
- GitHub forks (Tencent/ncnn) · observed Jul 11, 2026
- Last push (Tencent/ncnn) · observed Jul 8, 2026
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 39k · ncnn 24k (synced Jul 11, 2026).
Common questions
- What is the difference between FastChat and ncnn?
- FastChat: An open platform for training, serving, and evaluating large language models. ncnn: ncnn is a high-performance neural network inference framework optimized for the mobile platform. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over ncnn?
- Choose FastChat over ncnn when FastChat is primarily Python; ncnn is C++; License: FastChat is Apache-2.0, ncnn is Other; Tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models; Also covers LLM Frameworks; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I choose ncnn over FastChat?
- Choose ncnn over FastChat when ncnn is primarily C++; FastChat is Python; License: ncnn is Other, FastChat is Apache-2.0; Tags unique to ncnn: android, arm-neon, artificial-intelligence, caffe.
- 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 ncnn?
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is FastChat or ncnn more popular on GitHub?
- FastChat has more GitHub stars (39,490 vs 23,520). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and ncnn open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, ncnn: Other).
- Where can I find alternatives to FastChat or ncnn?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and ncnn alternatives (FastChat markdown twin, ncnn 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 ncnn?
- FastChat: Steady. ncnn: Very 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 ncnn?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; ncnn trust report.