- accepts variables to use in query templates
- saves queries and their execution data into an internal database (simply a JSON file)
- displays results as an interactive table that can be sorted and filtered
- creates shareable links, for query editor and results
- works on mobile (for those who always wanted to practice SQL on the toilet)
One notebook, many environments - no more Jupyter kernels! Uses a cool trick (if I can say so myself) to inject dependencies into a python script at launch time.
FastAPI app serving installation recipes.
Affinity (source)
Typed, annotated vectors for well-documented datasets.