Our verdict
We have not reviewed Maniford 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 Maniford
Maniford is an open-source visual debugging tool for machine learning models. It provides interactive visualizations to compare model predictions across different data slices, helping identify systematic errors and performance discrepancies. The tool is model-agnostic and works with classification and regression outputs.
Best for
Data scientists and ML engineers debugging model errors and analyzing performance slices.
Use cases
- Debugging model performance on specific data segments
- Comparing prediction errors across multiple models
- Identifying bias or drift in model outputs
Notes
1,671 stars on GitHub. Last updated 2025-02-05. Licensed Apache-2.0.
Pros
- Model-agnostic and works with any ML framework
- Interactive visualizations for intuitive error analysis
- Free and open-source with community support
Cons
- Requires data preprocessing into a specific format
- Limited to tabular data; no support for images or text
- Community-maintained with infrequent updates
Key facts
What we have checked
- Latest version
- 1.1.4 (released 13 Jan 2020)
- GitHub stars
- 1,673
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Maniford is growing
1,671 to 1,673
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
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
Released 1.1.4
Released 1.1.2
Pairs with
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