Julia is the best language to extend Python for scientific computing

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

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  • Python-Complementary-Languages

    Just a small test to see which language is better for extending python when using lists of lists

  • JET.jl

    An experimental code analyzer for Julia. No need for additional type annotations.

    • You can use the `@code_warntype` macro to check for type stability, which is very helpful for detecting such performance pitfalls on single function level. In the future, https://github.com/aviatesk/JET.jl may give a more powerful way to do it.

  • 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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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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