Dataframe_sql
A Python package that parses SQL and interprets it as methods that act upon existing pandas (or other types of) DataFrames that have been declared and registered
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Modin | 9,275 |  | 9 | 25 | 3 months ago | 89 | November 17, 2023 | 694 | apache-2.0 | Python |
| Modin: Scale your Pandas workflows by changing a single line of code | ||||||||||
| Ibis | 3,404 |  | 24 | 29 | 3 months ago | 68 | December 10, 2023 | 157 | apache-2.0 | Python |
| The flexibility of Python with the scale and performance of modern SQL. | ||||||||||
| Fugue | 1,821 |  | 23 | 3 months ago | 125 | November 09, 2023 | 34 | apache-2.0 | Python | |
| A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites. | ||||||||||
| Pandasql | 1,196 |  | 49 | 41 | a year ago | 31 | April 20, 2016 | 56 | mit | Python |
| sqldf for pandas | ||||||||||
| Siuba | 1,052 |  | 10 | 7 months ago | 45 | September 19, 2023 | 100 | mit | Python | |
| Python library for using dplyr like syntax with pandas and SQL | ||||||||||
| Machine_learning_and_deep_learning | 492 | 3 months ago | gpl-3.0 | Jupyter Notebook | ||||||
| Astro Sdk | 303 |  | 2 | 3 months ago | 49 | August 30, 2023 | 153 | apache-2.0 | Python | |
| Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow. | ||||||||||
| Data Science | 269 | 6 months ago | mit | Jupyter Notebook | ||||||
| Projects and awesome list for all Data Science fields | ||||||||||
| Rasgoql | 258 | 2 years ago | 33 | July 05, 2022 | 6 | agpl-3.0 | Jupyter Notebook | |||
| Write python locally, execute SQL in your data warehouse | ||||||||||
| Pangres | 207 |  | 3 | 5 months ago | 25 | November 05, 2023 | 2 | unlicense | Python | |
| SQL upsert using pandas DataFrames for PostgreSQL, SQlite and MySQL with extra features | ||||||||||
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