R, I love you.

This page summarizes the projects mentioned and recommended in the original post on /r/datascience

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  • causalml

    Uplift modeling and causal inference with machine learning algorithms

  • you like causal inference? it must be nice to be able to use libraires like dowhy, causal ml, and ananke right? 🤔🤔🤔

  • plotnine

    A Grammar of Graphics for Python

  • And ever since I found the python library plotnine (link) I've been a happy camper. It brings literally all the ggplot expressions to python. And while it's not very pythonic (to do anything like ggplot() + geom_point() for example, you put it in a tuple like (ggplot() + geom_point())), its a wonderful addition to my workflow. Professional looking graphics are much easier to create. You can even make functions to define custom themes, and use them just like in R (ggplot() + geom_point() + custom_theme()).

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • db-benchmark

    reproducible benchmark of database-like ops

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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