Comparison
deepchecks vs FastChat
Verdict
Pick deepchecks when license: deepchecks is Other, FastChat is Apache-2.0; pick FastChat when license: FastChat is Apache-2.0, deepchecks is Other.
Markdown twin · deepchecks alternatives · FastChat alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | deepchecks | FastChat |
|---|---|---|
| Maintenance | Slowing (195d since push) As of today · github_public_v1 | Steady (71d 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
- deepchecks
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and model
- FastChat
- An open platform for training, serving, and evaluating large language models
Stars
- deepchecks
- 4.0k
- FastChat
- 39k
Forks
- deepchecks
- 300
- FastChat
- 4.8k
Open issues
- deepchecks
- 263
- FastChat
- 1.0k
Language
- deepchecks
- Python
- FastChat
- Python
Adopt for
- deepchecks
- -
- 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
- deepchecks
- -
- FastChat
- -
Runtime
- deepchecks
- -
- FastChat
- -
License
- deepchecks
- Other
- FastChat
- Apache-2.0
Last pushed
- deepchecks
- Dec 28, 2025
- FastChat
- May 1, 2026
Categories
- deepchecks
- Computer Vision, Inference & Serving, Model Training
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- deepchecks
- Slowing (36%)
- FastChat
- Steady (60%)
Days since push
- deepchecks
- 195d
- FastChat
- 71d
Open issues (now)
- deepchecks
- 263
- FastChat
- 1.0k
Full report
- deepchecks
- Trust report
- FastChat
- Trust report
Shared compatibility
- Python · deepchecks: Python runtime · FastChat: Python runtime
Choose deepchecks if…
- License: deepchecks is Other, FastChat is Apache-2.0.
- Tags unique to deepchecks: data-drift, data-science, data-validation, deep-learning.
- Also covers Computer Vision.
When NOT to use deepchecks
- Last GitHub push was 195 days ago (slowing maintenance, Dec 28, 2025). Validate activity before betting a new project on deepchecks.
- 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.
Choose FastChat if…
- License: FastChat is Apache-2.0, deepchecks is Other.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deepchecks/deepchecks) · observed Jul 11, 2026
- GitHub forks (deepchecks/deepchecks) · observed Jul 11, 2026
- Last push (deepchecks/deepchecks) · observed Dec 28, 2025
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: deepchecks 4.0k · FastChat 39k (synced Jul 11, 2026).
Common questions
- What is the difference between deepchecks and FastChat?
- deepchecks: Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and model. 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 deepchecks over FastChat?
- Choose deepchecks over FastChat when License: deepchecks is Other, FastChat is Apache-2.0; Tags unique to deepchecks: data-drift, data-science, data-validation, deep-learning; Also covers Computer Vision.
- When should I choose FastChat over deepchecks?
- Choose FastChat over deepchecks when License: FastChat is Apache-2.0, deepchecks is Other; 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 avoid deepchecks?
- Last GitHub push was 195 days ago (slowing maintenance, Dec 28, 2025). Validate activity before betting a new project on deepchecks. 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.
- 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 deepchecks or FastChat more popular on GitHub?
- FastChat has more GitHub stars (39,490 vs 4,035). Stars measure visibility, not whether either tool fits your constraints.
- Are deepchecks and FastChat open source?
- Yes - both are open-source projects on GitHub (deepchecks: Other, FastChat: Apache-2.0).
- Where can I find alternatives to deepchecks or FastChat?
- GraphCanon lists graph-backed alternatives at deepchecks alternatives and FastChat alternatives (deepchecks 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, deepchecks or FastChat?
- deepchecks: Slowing. FastChat: Steady. 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 deepchecks and FastChat?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepchecks trust report; FastChat trust report.