Comparison
FastChat vs RobustVideoMatting
Verdict
Pick FastChat when license: FastChat is Apache-2.0, RobustVideoMatting is GPL-3.0; pick RobustVideoMatting when license: RobustVideoMatting is GPL-3.0, FastChat is Apache-2.0.
Markdown twin · FastChat alternatives · RobustVideoMatting alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | FastChat | RobustVideoMatting |
|---|---|---|
| Maintenance | Steady (71d since push) As of today · github_public_v1 | Dormant (829d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal 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
- RobustVideoMatting
- Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
Stars
- FastChat
- 39k
- RobustVideoMatting
- 9.4k
Forks
- FastChat
- 4.8k
- RobustVideoMatting
- 1.2k
Open issues
- FastChat
- 1.0k
- RobustVideoMatting
- 122
Language
- FastChat
- Python
- RobustVideoMatting
- 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
- RobustVideoMatting
- -
Persona
- FastChat
- -
- RobustVideoMatting
- -
Runtime
- FastChat
- -
- RobustVideoMatting
- -
License
- FastChat
- Apache-2.0
- RobustVideoMatting
- GPL-3.0
Last pushed
- FastChat
- May 1, 2026
- RobustVideoMatting
- Apr 2, 2024
Categories
- FastChat
- Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability
- RobustVideoMatting
- Model Training, Computer Vision, Inference & Serving
Trust and health
Maintenance
- FastChat
- Steady (60%)
- RobustVideoMatting
- Dormant (18%)
Days since push
- FastChat
- 71d
- RobustVideoMatting
- 829d
Open issues (now)
- FastChat
- 1.0k
- RobustVideoMatting
- 122
Owner type
- FastChat
- Organization
- RobustVideoMatting
- User
Full report
- FastChat
- Trust report
- RobustVideoMatting
- Trust report
Choose FastChat if…
- License: FastChat is Apache-2.0, RobustVideoMatting is GPL-3.0.
- 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 RobustVideoMatting if…
- License: RobustVideoMatting is GPL-3.0, FastChat is Apache-2.0.
- Tags unique to RobustVideoMatting: deep-learning, ai, machine-learning, python.
- Also covers Computer Vision.
When NOT to use RobustVideoMatting
- Last GitHub push was 830 days ago (dormant maintenance, Apr 2, 2024). Validate activity before betting a new project on RobustVideoMatting.
- 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 (PeterL1n/RobustVideoMatting) · observed Jul 11, 2026
- GitHub forks (PeterL1n/RobustVideoMatting) · observed Jul 11, 2026
- Last push (PeterL1n/RobustVideoMatting) · observed Apr 2, 2024
- License file (GPL-3.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 39k · RobustVideoMatting 9.4k (synced Jul 11, 2026).
Common questions
- What is the difference between FastChat and RobustVideoMatting?
- FastChat: An open platform for training, serving, and evaluating large language models. RobustVideoMatting: Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over RobustVideoMatting?
- Choose FastChat over RobustVideoMatting when License: FastChat is Apache-2.0, RobustVideoMatting is GPL-3.0; 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 RobustVideoMatting over FastChat?
- Choose RobustVideoMatting over FastChat when License: RobustVideoMatting is GPL-3.0, FastChat is Apache-2.0; Tags unique to RobustVideoMatting: deep-learning, ai, machine-learning, python; Also covers Computer Vision.
- 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 RobustVideoMatting?
- Last GitHub push was 830 days ago (dormant maintenance, Apr 2, 2024). Validate activity before betting a new project on RobustVideoMatting. 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 RobustVideoMatting more popular on GitHub?
- FastChat has more GitHub stars (39,490 vs 9,422). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and RobustVideoMatting open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, RobustVideoMatting: GPL-3.0).
- Where can I find alternatives to FastChat or RobustVideoMatting?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and RobustVideoMatting alternatives (FastChat markdown twin, RobustVideoMatting 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 RobustVideoMatting?
- FastChat: Steady. RobustVideoMatting: 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 RobustVideoMatting?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; RobustVideoMatting trust report.