What is lacking in Julia ecosystem?

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

InfluxDB high-performance time series database
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  1. xarray

    N-D labeled arrays and datasets in Python

    https://xarray.dev

  2. InfluxDB

    InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

    InfluxDB logo
  3. DimensionalData.jl

    Named dimensions and indexing for julia arrays and other data

    Julia has this: https://github.com/rafaqz/DimensionalData.jl

  4. AxisArrays.jl

    Performant arrays where each dimension can have a named axis with values

    There's also https://github.com/JuliaArrays/AxisArrays.jl

  5. QML.jl

    Build Qt6 QML interfaces for Julia programs.

    I am not clear what you have in mind here. Are QT or Gtk bindings not be sufficient? Or perhaps something like CImGui?

  6. Gtk.jl

    Discontinued Julia interface to Gtk windowing toolkit.

    I am not clear what you have in mind here. Are QT or Gtk bindings not be sufficient? Or perhaps something like CImGui?

  7. CImGui.jl

    Julia wrapper for cimgui

    I am not clear what you have in mind here. Are QT or Gtk bindings not be sufficient? Or perhaps something like CImGui?

  8. Geodesy.jl

    Work with points defined in various coordinate systems.

    I think you want to use something like GeoDesy.jl to convert to cartesian coords and then just index DimensionalData normally.

  9. CodeRabbit

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  10. Descartes.jl

    Software Defined Solid Modeling

    OpenSCAD relies on CGAL for its modeling kernel and provides an expressive functional approach to geometric modeling. I know there have been some projects like Descartes.jl that have explored bringing core elements of thevOpenSCAD ecosystem to Julia. It’s good to see Descartes.jl under the Julia Geometry umbrella, although I don’t know if it’s still being developed.

  11. Overview-of-the-Julia-Python-R-Universe

    Discontinued Contribute to the side by side overview of the three leading open source data science ecosystems of today [GET https://api.github.com/repos/open-risk/Overview-of-the-Julia-Python-R-Universe: 404 - Not Found // See: https://docs.github.com/rest/repos/repos#get-a-repository]

    Somebody left really good feedback / additions on the page. Thank you. Thought that maybe a github repo would make contributions (and credit) easier!

  12. YAXArrays.jl

    Yet Another XArray-like Julia package

    we actually have https://github.com/JuliaDataCubes/YAXArrays.jl

  13. QuerySQLite.jl

    SQLite backend for Query.jl

    latest example: https://github.com/queryverse/QuerySQLite.jl

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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Did you know that Julia is
the 44th most popular programming language
based on number of references?