Comparison
chatllm.cpp vs FastChat
Verdict
Pick chatllm.cpp if this C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU; 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.
Markdown twin · chatllm.cpp alternatives · FastChat alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | chatllm.cpp | FastChat |
|---|---|---|
| Maintenance | Very active (1d since push) As of 3w · github_public_v1 | Slowing (98d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 1w · 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
- chatllm.cpp
- C++ real-time chat models for CPU and GPU
- FastChat
- An open platform for training, serving, and evaluating large language models
Stars
- chatllm.cpp
- 912
- FastChat
- 40k
Forks
- chatllm.cpp
- 72
- FastChat
- 4.8k
Open issues
- chatllm.cpp
- 11
- FastChat
- 1.0k
Language
- chatllm.cpp
- C++
- FastChat
- Python
Adopt for
- chatllm.cpp
- This C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU.
- 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
Persona
- chatllm.cpp
- -
- FastChat
- -
Runtime
- chatllm.cpp
- -
- FastChat
- -
License
- chatllm.cpp
- MIT
- FastChat
- Apache-2.0
Last pushed
- chatllm.cpp
- Jul 24, 2026
- FastChat
- May 1, 2026
Categories
- chatllm.cpp
- Inference & Serving, LLM Frameworks
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- chatllm.cpp
- Very active (96%)
- FastChat
- Slowing (36%)
Days since push
- chatllm.cpp
- 1d
- FastChat
- 98d
Open issues (now)
- chatllm.cpp
- 11
- FastChat
- 1.0k
Owner type
- chatllm.cpp
- User
- FastChat
- Organization
Full report
- chatllm.cpp
- Trust report
- FastChat
- Trust report
Shared compatibility
- Python · chatllm.cpp: Python runtime · FastChat: Python runtime
Choose chatllm.cpp if…
- chatllm.cpp is primarily C++; FastChat is Python.
- License: chatllm.cpp is MIT, FastChat is Apache-2.0.
- Tags unique to chatllm.cpp: cpu-support, gpu-support, llm, llm-inference.
- When you need a C++ framework that can integrate tightly into existing C++ applications requiring fast chat responses.
When NOT to use chatllm.cpp
- Avoid if your preferred development environment is centered around high-level languages such as Python, where alternatives like Transformers are robust and well-supported.
- Not suitable for projects that require a wide array of pre-trained models not provided by chatllm.cpp itself, since it does not include model training functionalities.
Choose FastChat if…
- FastChat is primarily Python; chatllm.cpp is C++.
- License: FastChat is Apache-2.0, chatllm.cpp is MIT.
- Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large language models.
- Also covers Evaluation & Observability, Model Training.
- - 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (foldl/chatllm.cpp) · observed Jul 25, 2026
- GitHub forks (foldl/chatllm.cpp) · observed Jul 25, 2026
- Last push (foldl/chatllm.cpp) · observed Jul 24, 2026
- License file (MIT) · observed Jul 25, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: chatllm.cpp 912 · FastChat 40k (synced Jul 25, 2026).
Common questions
- What is the difference between chatllm.cpp and FastChat?
- chatllm.cpp: C++ real-time chat models for CPU and GPU. FastChat: An open platform for training, serving, and evaluating large language models. See the comparison table for live GitHub stats and shared categories.
- When should I choose chatllm.cpp over FastChat?
- Choose chatllm.cpp over FastChat when chatllm.cpp is primarily C++; FastChat is Python; License: chatllm.cpp is MIT, FastChat is Apache-2.0; Tags unique to chatllm.cpp: cpu-support, gpu-support, llm, llm-inference; When you need a C++ framework that can integrate tightly into existing C++ applications requiring fast chat responses.
- When should I choose FastChat over chatllm.cpp?
- Choose FastChat over chatllm.cpp when FastChat is primarily Python; chatllm.cpp is C++; License: FastChat is Apache-2.0, chatllm.cpp is MIT; Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large language models; Also covers Evaluation & Observability, Model Training; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I avoid chatllm.cpp?
- Avoid if your preferred development environment is centered around high-level languages such as Python, where alternatives like Transformers are robust and well-supported. Not suitable for projects that require a wide array of pre-trained models not provided by chatllm.cpp itself, since it does not include model training functionalities.
- 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.
- Is chatllm.cpp or FastChat more popular on GitHub?
- FastChat has more GitHub stars (39,517 vs 912). Stars measure visibility, not whether either tool fits your constraints.
- Are chatllm.cpp and FastChat open source?
- Yes - both are open-source projects on GitHub (chatllm.cpp: MIT, FastChat: Apache-2.0).
- Where can I find alternatives to chatllm.cpp or FastChat?
- GraphCanon lists graph-backed alternatives at chatllm.cpp alternatives and FastChat alternatives (chatllm.cpp markdown twin, FastChat 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, chatllm.cpp or FastChat?
- chatllm.cpp: Very active. FastChat: 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 chatllm.cpp and FastChat?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chatllm.cpp trust report; FastChat trust report.