https://github.com/cmudig/autoprofiler
Automatically profile dataframes in the Jupyter sidebar
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
-
○DOI references
-
✓Academic publication links
Links to: arxiv.org -
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (9.5%) to scientific vocabulary
Keywords
Repository
Automatically profile dataframes in the Jupyter sidebar
Basic Info
Statistics
- Stars: 366
- Watchers: 5
- Forks: 12
- Open Issues: 28
- Releases: 0
Topics
Metadata Files
README.md
Profile your Pandas Dataframes! Autoprofiler will automatically visualize your Pandas dataframes after every execution, no extra code necessary.
Autoprofiler allows you to spend less time specifying charts and more time interacting with your data by automatically showing you profiling information like:
- Distribution of each column
- Sample values
- Summary statistics
Updates profiles as your data updates
Autoprofiler reads your current Jupyter notebook and produces profiles for the Pandas Dataframes in your memory as they change.
https://user-images.githubusercontent.com/13400543/199877605-ba50f9c8-87e5-46c9-8207-1c6496bb3b18.mov
Install
To instally locally use pip and then open jupyter lab and the extension will be running.
bash
pip install -U digautoprofiler
Please note, AutoProfiler only works in JupyterLab with version >=3.x, < 4.0.0.
Try it out
To try out Autoprofiler in a hosted notebook, use one of the options below
| Jupyter Lite | Binder |
| :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------: |
| | |
Browser support: AutoProfiler has been developed and tested with Chrome.
Development Install
For development install instructions, see CONTRIBUTING.md.
If you're having install issues, see TROUBLESHOOTING.md.
Acknowledgements
Big thanks to the Rill Data team! Much of our profiler UI code is adapted from Rill Developer.
Citation
Please reference our VIS'23 paper:
bibtex
@article{epperson23autoprofiler,
title={Dead or Alive: Continuous Data Profiling for Interactive Data Science},
author={Will Epperson and Vaishnavi Goranla and Dominik Moritz and Adam Perer},
journal={IEEE Transactions on Visualization and Computer Graphics},
year={2023},
url={https://arxiv.org/abs/2308.03964}
}
Let us know what you think! 📢
We would love to hear your feedback on how you are using AutoProfiler! Please fill out this form or email Will at willepp@cmu.edu.
Owner
- Name: CMU Data Interaction Group
- Login: cmudig
- Kind: organization
- Location: Pittsburgh, PA
- Website: https://dig.cmu.edu/
- Repositories: 32
- Profile: https://github.com/cmudig
People, Visualization, Analysis, Machine Learning
GitHub Events
Total
- Watch event: 21
- Fork event: 1
Last Year
- Watch event: 21
- Fork event: 1
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Will Epperson | w****p@l****m | 249 |
| vaish399 | 8****9 | 2 |
| Yuqi(Adam) Zhang | 7****9 | 1 |
| Yuqi(Adam) Zhang | 7****n | 1 |
| Dominik Moritz | d****z@g****m | 1 |
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 66
- Total pull requests: 52
- Average time to close issues: 2 months
- Average time to close pull requests: 16 days
- Total issue authors: 12
- Total pull request authors: 6
- Average comments per issue: 0.58
- Average comments per pull request: 0.62
- Merged pull requests: 42
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- willeppy (49)
- domoritz (4)
- vaish399 (2)
- mjohnson11 (2)
- ZORAYE (1)
- legout (1)
- yuqizhang99 (1)
- esther279 (1)
- adamperer (1)
- jbwhit (1)
- lucas-nelson-uiuc (1)
Pull Request Authors
- willeppy (38)
- vaish399 (5)
- yuqizhang99 (4)
- annddrrea (2)
- mbooth1287 (2)
- domoritz (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- npm 2 last-month
- pypi 146 last-month
- Total docker downloads: 454
-
Total dependent packages: 1
(may contain duplicates) -
Total dependent repositories: 2
(may contain duplicates) - Total versions: 34
- Total maintainers: 1
pypi.org: digautoprofiler
Automatically profile your pandas dataframes in jupyter lab.
- Homepage: https://github.com/cmudig/AutoProfiler
- Documentation: https://digautoprofiler.readthedocs.io/
- License: BSD-3-Clause
-
Latest release: 3.0.1
published over 2 years ago
Rankings
Maintainers (1)
npmjs.org: digautoprofiler
Automatically profile your pandas dataframes in jupyter lab.
- Homepage: https://github.com/cmudig/AutoProfiler
- License: BSD-3-Clause
-
Latest release: 3.0.1
published over 2 years ago