Comparison
FastChat vs TNN
Verdict
Pick FastChat when fastChat is primarily Python; TNN is C++; pick TNN when tNN is primarily C++; FastChat is Python.
Markdown twin · FastChat alternatives · TNN alternatives
GraphCanon updated today
Trust & integrity
| Signal | FastChat | TNN |
|---|---|---|
| Maintenance | Steady (71d since push) As of today · github_public_v1 | Dormant (428d 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 | No lockfile As of today · none |
Tagline
- FastChat
- An open platform for training, serving, and evaluating large language models
- TNN
- TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cr
Stars
- FastChat
- 39k
- TNN
- 4.6k
Forks
- FastChat
- 4.8k
- TNN
- 773
Open issues
- FastChat
- 1.0k
- TNN
- 318
Language
- FastChat
- Python
- TNN
- 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
- TNN
- -
Persona
- FastChat
- -
- TNN
- -
Runtime
- FastChat
- -
- TNN
- -
License
- FastChat
- Apache-2.0
- TNN
- Other
Last pushed
- FastChat
- May 1, 2026
- TNN
- May 9, 2025
Categories
- FastChat
- Model Training, LLM Frameworks, Evaluation & Observability, Inference & Serving
- TNN
- Model Training, Inference & Serving, Computer Vision
Trust and health
Maintenance
- FastChat
- Steady (60%)
- TNN
- Dormant (18%)
Days since push
- FastChat
- 71d
- TNN
- 428d
Open issues (now)
- FastChat
- 1.0k
- TNN
- 318
Full report
- FastChat
- Trust report
- TNN
- Trust report
Choose FastChat if…
- FastChat is primarily Python; TNN is C++.
- License: FastChat is Apache-2.0, TNN is Other.
- Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
- Also covers LLM Frameworks, Evaluation & Observability.
- - 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 TNN if…
- TNN is primarily C++; FastChat is Python.
- License: TNN is Other, FastChat is Apache-2.0.
- Tags unique to TNN: deep-learning, ncnn, face-detection, mnn.
- Also covers Computer Vision.
- TNN ships Docker support for self-hosted deployment.
When NOT to use TNN
- Last GitHub push was 428 days ago (dormant maintenance, May 9, 2025). Validate activity before betting a new project on TNN.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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/TNN) · observed Jul 11, 2026
- GitHub forks (Tencent/TNN) · observed Jul 11, 2026
- Last push (Tencent/TNN) · observed May 9, 2025
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 39k · TNN 4.6k (synced Jul 11, 2026).
Common questions
- What is the difference between FastChat and TNN?
- FastChat: An open platform for training, serving, and evaluating large language models. TNN: TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cr. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over TNN?
- Choose FastChat over TNN when FastChat is primarily Python; TNN is C++; License: FastChat is Apache-2.0, TNN is Other; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers LLM Frameworks, Evaluation & Observability; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I choose TNN over FastChat?
- Choose TNN over FastChat when TNN is primarily C++; FastChat is Python; License: TNN is Other, FastChat is Apache-2.0; Tags unique to TNN: deep-learning, ncnn, face-detection, mnn; Also covers Computer Vision; TNN ships Docker support for self-hosted deployment.
- 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 TNN?
- Last GitHub push was 428 days ago (dormant maintenance, May 9, 2025). Validate activity before betting a new project on TNN. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is FastChat or TNN more popular on GitHub?
- FastChat has more GitHub stars (39,490 vs 4,640). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and TNN open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, TNN: Other).
- Where can I find alternatives to FastChat or TNN?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and TNN alternatives (FastChat markdown twin, TNN 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 TNN?
- FastChat: Steady. TNN: 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 TNN?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; TNN trust report.