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Top 23 Julium Open-Source Projects
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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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DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
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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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JuMP.jl
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
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ModelingToolkit.jl
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
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34. Julia - $74,963
Project mention: Spreadsheet errors can have disastrous consequences – yet we keep making them | news.ycombinator.com | 2024-01-25Pandas docs > Comparison with spreadsheets: https://pandas.pydata.org/docs/getting_started/comparison/co...
Pandas docs > I/O > Excel files: https://pandas.pydata.org/docs/user_guide/io.html#excel-file...
nteract/papermill: https://github.com/nteract/papermill :
> papermill is a tool for parameterizing, executing, and analyzing Jupyter Notebooks. [...]
> This opens up new opportunities for how notebooks can be used. For example:
> - Perhaps you have a financial report that you wish to run with different values on the first or last day of a month or at the beginning or end of the year, using parameters makes this task easier.
"The World Excel Championship is being broadcast on ESPN" (2022) https://news.ycombinator.com/item?id=32420925 :
> Computational notebook speedrun ideas:
Project mention: Potential of the Julia programming language for high energy physics computing | news.ycombinator.com | 2023-12-04I thought that notebook based development and package based development were diametrically opposed in the past, but Pluto.jl notebooks have changed my mind about this.
A Pluto.jl notebook is a human readable Julia source file. The Pluto.jl package is itself developed via Pluto.jl notebooks.
https://github.com/fonsp/Pluto.jl
Also, the VSCode Julia plugin tooling has really expanded in functionality and usability for me in the past year. The integrated debugging took some work to setup, but is fast enough to drop into a local frame.
https://code.visualstudio.com/docs/languages/julia
Julia is the first language I have achieved full life cycle integration between exploratory code to sharable package. It even runs quite well on my Android. 2023 is the first year I was able to solve a differential equation or render a 3D surface from a calculated mesh with the hardware in my pocket.
Glicol looks very cool! Also check out Faust if you haven't (https://faust.grame.fr), another FP sound programming language.
Project mention: Potential of the Julia programming language for high energy physics computing | news.ycombinator.com | 2023-12-04> Yes, julia can be called from other languages rather easily
This seems false to me. StaticCompiler.jl [1] puts in their limitations that "GC-tracked allocations and global variables do not work with compile_executable or compile_shlib. This has some interesting consequences, including that all functions within the function you want to compile must either be inlined or return only native types (otherwise Julia would have to allocate a place to put the results, which will fail)." PackageCompiler.jl [2] has the same limitations if I'm not mistaken. So then you have to fall back to distributing the Julia "binary" with a full Julia runtime, which is pretty heavy. There are some packages which do this. For example, PySR [3] does this.
There is some word going around though that there is an even better static compiler in the making, but as long as that one is not publicly available I'd say that Julia cannot easily be called from other languages.
[1]: https://github.com/tshort/StaticCompiler.jl
[2]: https://github.com/JuliaLang/PackageCompiler.jl
[3]: https://github.com/MilesCranmer/PySR
For point 3 you can use https://github.com/cjdoris/PythonCall.jl or https://github.com/JuliaPy/PyCall.jl (and their respective Python sister packages).
Project mention: Potential of the Julia programming language for high energy physics computing | news.ycombinator.com | 2023-12-04Yes, julia can be called from other languages rather easily, Julia functions can be exposed and called with a C-like ABI [1], and then there's also various packages for languages like Python [2] or R [3] to call Julia code.
With PackageCompiler.jl [4] you can even make AOT compiled standalone binaries, though these are rather large. They've shrunk a fair amount in recent releases, but they're still a lot of low hanging fruit to make the compiled binaries smaller, and some manual work you can do like removing LLVM and filtering stdlibs when they're not needed.
Work is also happening on a more stable / mature system that acts like StaticCompiler.jl [5] except provided by the base language and people who are more experienced in the compiler (i.e. not a janky prototype)
[1] https://docs.julialang.org/en/v1/manual/embedding/
[2] https://pypi.org/project/juliacall/
[3] https://www.rdocumentation.org/packages/JuliaCall/
[4] https://github.com/JuliaLang/PackageCompiler.jl
[5] https://github.com/tshort/StaticCompiler.jl
Project mention: JuliaMono – a monospaced font for scientific and technical computing | news.ycombinator.com | 2024-03-01
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Julia related posts
- A rudimentary simulation of the three-body problem
- The Elements of Differentiable Programming
- The programming languages I learned in my Quantum Computing job
- Optimize sgemm on RISC-V platform
- JuliaMono – a monospaced font for scientific and technical computing
- Dart 3.3
- Data Structures as Topological Spaces (2002) [pdf]
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Index
What are some of the best open-source Julium projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | julia | 44,510 |
| 2 | dash | 20,472 |
| 3 | papermill | 5,623 |
| 4 | Pluto.jl | 4,868 |
| 5 | datastation | 2,853 |
| 6 | DifferentialEquations.jl | 2,754 |
| 7 | faust | 2,403 |
| 8 | Makie.jl | 2,270 |
| 9 | Genie.jl | 2,178 |
| 10 | JuMP.jl | 2,130 |
| 11 | Gadfly.jl | 1,893 |
| 12 | PySR | 1,882 |
| 13 | Plots.jl | 1,793 |
| 14 | MLJ.jl | 1,720 |
| 15 | DataFrames.jl | 1,690 |
| 16 | Zygote.jl | 1,438 |
| 17 | PyCall.jl | 1,438 |
| 18 | Knet.jl | 1,418 |
| 19 | UnicodePlots.jl | 1,392 |
| 20 | PackageCompiler.jl | 1,371 |
| 21 | ModelingToolkit.jl | 1,333 |
| 22 | juliamono | 1,329 |
| 23 | BeautifulAlgorithms.jl | 1,306 |
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