Geospatial Data Science with Julia

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • nlopt

    library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

  • Is this what you mean by nlopt? https://github.com/stevengj/nlopt

    If so, it looks like you're interfacing from R to high-performing code written in C. Isn't that exactly what OP was describing?

  • Meshes.jl

    Computational geometry and meshing algorithms in Julia

  • So in other Julia geometry-related projects that may be true, but for this particular corner of the ecosystem the main author (Júlio Hoffimann) has actually implemented much of the underlyin code from scratch (to the best of my understanding) in pure Julia in a whole set of packages, including

    https://github.com/JuliaGeometry/Meshes.jl

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • Rotations.jl

    Julia implementations for different rotation parameterizations

  • GeoStatsBase.jl

    Base package for the GeoStats.jl framework

  • PointPatterns.jl

    Discontinued Point patterns for the GeoStats.jl framework

  • 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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