Causal Analysis Support in Pygwalker
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- Dominant language
- Python
- Stars
- 16k
- Forks
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- PR merge metrics
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Description
Ability to do no-code causal analysis using the same open-source capability as in RATH from a Jupyter notebook attached to a powerful cluster.
Data can be available as either pandas, polars, or Pyspark df.
Contributor guide
Research direction
No implementation files, tests, or entry points are identified. Start by reviewing how RATH provides causal analysis and how PyGWalker integrates with Jupyter notebooks, then define support for pandas, polars, and PySpark dataframes on a cluster; done means no-code causal analysis is available for those inputs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, pandas, python, spark
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100