https://github.com/AutoViML/pandas_dq
data data-science dataquality dataqualitycheck machine-learning pandas python scikit-learn
Score: 13.891469245059543
Last synced: about 10 hours ago
JSON representation
Repository metadata:
Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
- Host: GitHub
- URL: https://github.com/AutoViML/pandas_dq
- Owner: AutoViML
- License: apache-2.0
- Created: 2023-04-02T23:26:07.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-12-13T16:02:58.000Z (almost 3 years ago)
- Last Synced: 2026-09-21T07:18:17.373Z (11 days ago)
- Topics: data, data-science, dataquality, dataqualitycheck, machine-learning, pandas, python, scikit-learn
- Language: Python
- Homepage:
- Size: 2.15 MB
- Stars: 139
- Watchers: 3
- Forks: 16
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Owner metadata:
- Name: Home of AutoViz, AutoViML and featurewiz
- Login: AutoViML
- Email: rsesha2001@yahoo.com
- Kind: user
- Description: Automated Machine Learning: Build Variant Interpretable Machine Learning models. Project Created by Ram Seshadri.
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/51647480?u=63cd155bc070c2d0d5cf5b654ff62427edbe91ba&v=4
- Repositories: 7
- Last Synced at: 2026-10-01T09:25:26.548Z
- Profile URL: https://github.com/AutoViML
GitHub Events
Total
- Fork event: 3
- Issues event: 1
- Watch event: 8
- Total: 12
Last Year
- Watch event: 2
- Total: 2
Committers metadata
Last synced: 1 day ago
Total Commits: 29
Total Committers: 2
Avg Commits per committer: 14.5
Development Distribution Score (DDS): 0.034
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| AutoViML | r****1@y****m | 28 |
| Yeicor | 4****r | 1 |
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 5
Total pull requests: 1
Average time to close issues: 2 months
Average time to close pull requests: 2 days
Total issue authors: 5
Total pull request authors: 1
Average comments per issue: 3.6
Average comments per pull request: 0.0
Merged pull request: 1
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- GDGauravDutta (1)
- cebriggs7135 (1)
- sideshot (1)
- salsa360 (1)
- SujeetO (1)
Top Pull Request Authors
- Yeicor (1)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 3,866 last-month
- Total dependent packages: 1
- Total dependent repositories: 13
- Total versions: 19
- Total maintainers: 1
pypi.org: pandas-dq
Clean your data using a scikit-learn transformer in a single line of code
- Homepage: https://github.com/AutoViML/pandas_dq
- Documentation: https://pandas-dq.readthedocs.io/
- Licenses: Apache License 2.0
- Latest release: 1.29 (published almost 3 years ago)
- Last Synced: 2026-10-01T04:46:51.877Z (1 day ago)
- Versions: 19
- Dependent Packages: 1
- Dependent Repositories: 13
- Downloads: 3,866 Last month
-
Rankings:
- Downloads: 1.819%
- Dependent repos count: 4.012%
- Dependent packages count: 4.759%
- Average: 5.723%
- Stargazers count: 7.123%
- Forks count: 10.903%
- Maintainers (1)
Dependencies
- numpy *
- pandas >=1.0.0
- scikit-learn >=0.24.2
- numpy >=1.21.5
- pandas >=1.3.5
- scikit-learn >=0.24.2