[P] Open data transformations in Python, no SQL required

1. RasgoQL

   1 11 270 0.0 Jupyter Notebook

   Write python locally, execute SQL in your data warehouse

   

   You can check it out here: https://github.com/rasgointelligence/RasgoQL

2. Judoscale

   judoscale.com featured

   Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.

   

3. fugue

   2 11 2,072 3.4 Python

   A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

   

   This looks similar to fugue, am I right? How do they compare?

4. ploomber

   3 121 3,557 6.4 Python

   The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

   

   Yeah, I fully agree with you. SQL has many disadvantages (although many good things as well). In any case, I'm not advocating for SQL, it's just what I've seen recently. I'm a Python fan building tools for data analysis in Python so I hope this SQL trend doesn't go too far as in "let's only do SQL" :)

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