MCP Servers
DataEval/dingo
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
Our verdict
We have not reviewed DataEval/dingo yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About DataEval/dingo
Dingo is an open-source Python library for evaluating the quality of AI data, models, and applications. It provides a structured framework to run automated tests and benchmarks across different stages of the AI development pipeline.
Best for
Developers building AI pipelines who need a unified evaluation tool for data, models, and applications.
Use cases
- Assess dataset quality before training a model
- Benchmark model performance on custom evaluation tasks
- Validate application outputs against expected quality standards
Notes
706 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Pros
- Covers data, model, and application evaluation in one tool
- Open-source with a growing community (706 stars)
- Python-native, easy to integrate into existing workflows
Cons
- Limited documentation and examples for advanced use cases
- Smaller community compared to more established evaluation libraries
- May lack support for some specialized evaluation metrics
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Install
pip install dingo-pythonTools exposed
tavily_search
Clients the listing names (not checked here)
Claude Desktop, Cursor, ChatGPT
Install
Add DataEval/dingo to your client
No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.
Until then, follow the project's own README, or the setup the listing publishes under How to set it up.
Works with
What DataEval/dingo connects to
No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.
Sources
Where this comes from
No sources recorded yet. Each source we check is listed here with the date we checked it.
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Pairs with
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