Comparison
FastChat vs pinferencia
Verdict
Pick FastChat when tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models; pick pinferencia when tags unique to pinferencia: ai, artificial-intelligence, computer-vision, data-science.
Markdown twin · FastChat alternatives · pinferencia alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | FastChat | pinferencia |
|---|---|---|
| Maintenance | Steady (71d since push) As of 1d · github_public_v1 | Dormant (1242d 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 | 160 low (160 low) As of today · osv@v1 |
Tagline
- FastChat
- An open platform for training, serving, and evaluating large language models
- pinferencia
- Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
Stars
- FastChat
- 39k
- pinferencia
- 543
Forks
- FastChat
- 4.8k
- pinferencia
- 83
Open issues
- FastChat
- 1.0k
- pinferencia
- 17
Language
- FastChat
- Python
- pinferencia
- 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
- pinferencia
- -
Persona
- FastChat
- -
- pinferencia
- -
Runtime
- FastChat
- -
- pinferencia
- -
License
- FastChat
- Apache-2.0
- pinferencia
- Apache-2.0
Last pushed
- FastChat
- May 1, 2026
- pinferencia
- Feb 14, 2023
Categories
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
- pinferencia
- Computer Vision, Inference & Serving, Model Training
Trust and health
Maintenance
- FastChat
- Steady (60%)
- pinferencia
- Dormant (18%)
Days since push
- FastChat
- 71d
- pinferencia
- 1242d
Open issues (now)
- FastChat
- 1.0k
- pinferencia
- 17
Security scan
- FastChat
- No lockfile
- pinferencia
- 160 low (160 low)
Full report
- FastChat
- Trust report
- pinferencia
- Trust report
Shared compatibility
- Python · FastChat: Python runtime · pinferencia: Python runtime
Choose FastChat if…
- Tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models.
- Also covers Evaluation & Observability, 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 pinferencia if…
- Tags unique to pinferencia: ai, artificial-intelligence, computer-vision, data-science.
- Also covers Computer Vision.
- Leaner open-issue backlog (17).
When NOT to use pinferencia
- Last GitHub push was 1243 days ago (dormant maintenance, Feb 14, 2023). Validate activity before betting a new project on pinferencia.
- 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 (underneathall/pinferencia) · observed Jul 11, 2026
- GitHub forks (underneathall/pinferencia) · observed Jul 11, 2026
- Last push (underneathall/pinferencia) · observed Feb 14, 2023
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 39k · pinferencia 543 (synced Jul 11, 2026).
Common questions
- What is the difference between FastChat and pinferencia?
- FastChat: An open platform for training, serving, and evaluating large language models. pinferencia: Python + Inference - Model Deployment library in Python. Simplest model inference server ever.. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over pinferencia?
- Choose FastChat over pinferencia when Tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models; Also covers Evaluation & Observability, LLM Frameworks; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I choose pinferencia over FastChat?
- Choose pinferencia over FastChat when Tags unique to pinferencia: ai, artificial-intelligence, computer-vision, data-science; Also covers Computer Vision; Leaner open-issue backlog (17).
- 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 pinferencia?
- Last GitHub push was 1243 days ago (dormant maintenance, Feb 14, 2023). Validate activity before betting a new project on pinferencia. 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 pinferencia more popular on GitHub?
- FastChat has more GitHub stars (39,490 vs 543). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and pinferencia open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, pinferencia: Apache-2.0).
- Where can I find alternatives to FastChat or pinferencia?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and pinferencia alternatives (FastChat markdown twin, pinferencia 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 pinferencia?
- FastChat: Steady. pinferencia: 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 pinferencia?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; pinferencia trust report.