https://github.com/iamaziz/sqlify

https://github.com/iamaziz/sqlify

Last synced: 4 days ago
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• Host: GitHub
• URL: https://github.com/iamaziz/sqlify
• Owner: iamaziz
• License: mit
• Created: 2022-12-03T23:01:06.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-10-26T00:14:28.000Z (about 1 year ago)
• Last Synced: 2024-10-12T04:53:30.091Z (about 1 month ago)
• Language: Python
• Size: 65.4 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# PySQLify

[![Open in Streamlit][share_badge]][share_link]

Upload a dataset to process (manipulate/analyze) it using SQL and Python, similar to running Jupyter Notebooks. Currently, supports `csv` files only.

[share_badge]: https://static.streamlit.io/badges/streamlit_badge_black_white.svg

[share_link]: https://sqlify.streamlit.app



**TODO**

```

- [x] generate data profile with pandas_profiling

- [ ] support upload other file types: tsv, .xls, .xlsx

- [ ] caching / for scaling, use DuckDB

- [ ] parse data types, and change col types

- [ ] configs eg skip_rows, sep, column names .. etc

```

Credit. This is created with:

> [Streamlit](https://github.com/streamlit/streamlit) | [pandas](https://github.com/pandas-dev/pandas) | [duckdb](https://github.com/duckdb/duckdb) | [streamlit-ace](https://github.com/okld/streamlit-ace)