Comparison
deepeval vs FastChat
Verdict
Pick deepeval when tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics; pick FastChat when tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
Markdown twin · deepeval alternatives · FastChat alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | deepeval | FastChat |
|---|---|---|
| Maintenance | Very active (0d 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
- deepeval
- The LLM Evaluation Framework
- FastChat
- An open platform for training, serving, and evaluating large language models
Stars
- deepeval
- 17k
- FastChat
- 39k
Forks
- deepeval
- 1.6k
- FastChat
- 4.8k
Open issues
- deepeval
- 334
- FastChat
- 1.0k
Language
- deepeval
- Python
- FastChat
- Python
Adopt for
- deepeval
- -
- 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
- deepeval
- -
- FastChat
- -
Runtime
- deepeval
- -
- FastChat
- -
License
- deepeval
- Apache-2.0
- FastChat
- Apache-2.0
Last pushed
- deepeval
- Jul 10, 2026
- FastChat
- May 1, 2026
Categories
- deepeval
- LLM Frameworks, Evaluation & Observability
- FastChat
- Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability
Trust and health
Maintenance
- deepeval
- Very active (96%)
- FastChat
- Steady (60%)
Days since push
- deepeval
- 0d
- FastChat
- 71d
Open issues (now)
- deepeval
- 334
- FastChat
- 1.0k
Full report
- deepeval
- Trust report
- FastChat
- Trust report
Choose deepeval if…
- Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics.
- More recently updated (last pushed Jul 10, 2026).
When NOT to use deepeval
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose FastChat if…
- Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
- Also covers Model Training, Inference & Serving.
- - 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 (confident-ai/deepeval) · observed Jul 11, 2026
- GitHub forks (confident-ai/deepeval) · observed Jul 11, 2026
- Last push (confident-ai/deepeval) · observed Jul 10, 2026
- License file (Apache-2.0) · 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: deepeval 17k · FastChat 39k (synced Jul 11, 2026).
Common questions
- What is the difference between deepeval and FastChat?
- deepeval: The LLM Evaluation Framework. 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 deepeval over FastChat?
- Choose deepeval over FastChat when Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics; More recently updated (last pushed Jul 10, 2026).
- When should I choose FastChat over deepeval?
- Choose FastChat over deepeval when Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers Model Training, Inference & Serving; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I avoid deepeval?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- 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 deepeval or FastChat more popular on GitHub?
- FastChat has more GitHub stars (39,490 vs 16,767). Stars measure visibility, not whether either tool fits your constraints.
- Are deepeval and FastChat open source?
- Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, FastChat: Apache-2.0).
- Where can I find alternatives to deepeval or FastChat?
- GraphCanon lists graph-backed alternatives at deepeval alternatives and FastChat alternatives (deepeval 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, deepeval or FastChat?
- deepeval: Very active. 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 deepeval and FastChat?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; FastChat trust report.