MigoXLab / dingo
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
Why this job: matched by what the repo talks about: evaluation, model, application, data
What it does
- Flexible Execution & Integration
- Rich Reporting & Visualization
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 18 days ago
- Stars
- 767
- +3 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.5.0
- Released 3 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 86% closed
- 5 still open
- Pull requests
- 454 merged
- 1 waiting
- Releases
- 20
- 10 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| evidentlyai / evidently | 8,053 | 2 months ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 100%
Topics
- data-quality
- data-validation
- llm
- spark
- vlm
- data-evaluation
- dataquality
- datascience
- opencompass
- openai
- deepseek
- data-quality-assessment
Project record
- JobEvals and observability
- StatusListed
- Commits956
- Forks81
- Watching10
- Stars in 28 days+9
- CreatedDec 24, 2024
- First seen by usNov 7, 2026
- CheckedNov 10, 2026