Julia vs R/Python

• crystal

  239 19,109 9.8 Crystal

  The Crystal Programming Language

  

But there's also a pretty unknown underdog called Crystal Lang.

• icrystal

  1 30 0.0 Crystal

  Jupyter kernel for the Crystal language

There are some data libraries as well (i.e. here and you can use it within Jupyter as well.

• InfluxDB

  www.influxdata.com featured

  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.

  

• csvzip

  1 11 0.0 Crystal

  A standalone CLI tool to reduce CSVs size by converting categorical columns in a list of unique integers.

  

Some people are simply converting traditional Python libraries to Crystal to get a performance boost (even for 'simpler' things like csvzip).

• db-benchmark

  91 320 0.0 R

  reproducible benchmark of database-like ops

  

• diffeqpy

  4 496 7.7 Python

  Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

  

10-100x speed increase was not an exaggeration for me. With julia I was able to run things quickly on my own machine which I had been running on a compute cluster. I agree that numba could be just as fast as julia. I also just saw that you can run that DE library from julia that I like so much from python using this package. https://github.com/SciML/diffeqpy

• SaaSHub

  www.saashub.com featured

  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

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