{
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 "url": "https://github.com/Kanaries/pygwalker",
 "what": "PyGWalker turns a pandas, polars or pyarrow dataframe into an interactive, Tableau-style drag-and-drop interface inside Jupyter. It is the Python binding of Graphic Walker and lets you build charts, clean and filter data, profile columns and save chart configs, with computation in the browser, in a local DuckDB kernel or in Kanaries cloud. Charts can be exported as images or as reproducible Python code, and the same UI can be hosted in a Streamlit app.",
 "language": "Python",
 "stars": null,
 "gain": null,
 "created": "",
 "uc_n": 3,
 "title": "Pygwalker",
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 "slug": "kanaries-pygwalker",
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