Comparison
FastChat vs gpt4all
Verdict
Pick FastChat when fastChat is primarily Python; gpt4all is C++; pick gpt4all when gpt4all is primarily C++; FastChat is Python.
Markdown twin · FastChat alternatives · gpt4all alternatives
GraphCanon updated today
Trust & integrity
| Signal | FastChat | gpt4all |
|---|---|---|
| Maintenance | Steady (71d since push) As of today · github_public_v1 | Dormant (409d 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
- gpt4all
- GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Stars
- FastChat
- 39k
- gpt4all
- 77k
Forks
- FastChat
- 4.8k
- gpt4all
- 8.3k
Open issues
- FastChat
- 1.0k
- gpt4all
- 768
Language
- FastChat
- Python
- gpt4all
- 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
- gpt4all
- -
Persona
- FastChat
- -
- gpt4all
- -
Runtime
- FastChat
- -
- gpt4all
- -
License
- FastChat
- Apache-2.0
- gpt4all
- MIT
Last pushed
- FastChat
- May 1, 2026
- gpt4all
- May 27, 2025
Categories
- FastChat
- Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability
- gpt4all
- LLM Frameworks, Inference & Serving
Trust and health
Maintenance
- FastChat
- Steady (60%)
- gpt4all
- Dormant (18%)
Days since push
- FastChat
- 71d
- gpt4all
- 409d
Open issues (now)
- FastChat
- 1.0k
- gpt4all
- 768
Full report
- FastChat
- Trust report
- gpt4all
- Trust report
Choose FastChat if…
- FastChat is primarily Python; gpt4all is C++.
- License: FastChat is Apache-2.0, gpt4all is MIT.
- Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
- Also covers Model Training, 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 gpt4all if…
- gpt4all is primarily C++; FastChat is Python.
- License: gpt4all is MIT, FastChat is Apache-2.0.
- Tags unique to gpt4all: ai-chat, c++, llm-inference.
When NOT to use gpt4all
- Last GitHub push was 410 days ago (dormant maintenance, May 27, 2025). Validate activity before betting a new project on gpt4all.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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 (nomic-ai/gpt4all) · observed Jul 11, 2026
- GitHub forks (nomic-ai/gpt4all) · observed Jul 11, 2026
- Last push (nomic-ai/gpt4all) · observed May 27, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 39k · gpt4all 77k (synced Jul 11, 2026).
Common questions
- What is the difference between FastChat and gpt4all?
- FastChat: An open platform for training, serving, and evaluating large language models. gpt4all: GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over gpt4all?
- Choose FastChat over gpt4all when FastChat is primarily Python; gpt4all is C++; License: FastChat is Apache-2.0, gpt4all is MIT; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers Model Training, Evaluation & Observability; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I choose gpt4all over FastChat?
- Choose gpt4all over FastChat when gpt4all is primarily C++; FastChat is Python; License: gpt4all is MIT, FastChat is Apache-2.0; Tags unique to gpt4all: ai-chat, c++, llm-inference.
- 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 gpt4all?
- Last GitHub push was 410 days ago (dormant maintenance, May 27, 2025). Validate activity before betting a new project on gpt4all. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is FastChat or gpt4all more popular on GitHub?
- gpt4all has more GitHub stars (77,386 vs 39,490). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and gpt4all open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, gpt4all: MIT).
- Where can I find alternatives to FastChat or gpt4all?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and gpt4all alternatives (FastChat markdown twin, gpt4all 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 gpt4all?
- FastChat: Steady. gpt4all: 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 gpt4all?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; gpt4all trust report.