HTTP.jl
Makie.jl
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HTTP.jl | Makie.jl | |
---|---|---|
7 | 11 | |
619 | 2,253 | |
0.5% | 2.0% | |
7.7 | 9.7 | |
4 days ago | 5 days ago | |
Julia | Julia | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
HTTP.jl
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Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
The req.url field contains the URL of the received request, the req.method field contains request method, like GET or POST, the req.body field contains the POST body of the request in binary format. HTTP request object contains much other information. All this you can find in HTTP.jl documentation. Our web application will only check the request method. If the received request is a POST request, it will parse req.body to JSON object and send the data from this object to the isSurvived function to make a prediction and return it to the client browser. For all other request types, it will just return the content of the index.html file, to display the web interface. This is how the whole source of titanic.jl web service looks:
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Automate the boring stuff with Julia?
HTTP.jl and Gumbo.jl for web-scraping
- PyTorch: Where we are headed and why it looks a lot like Julia (but not exactly)
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Recommendations on how to start web scraping with julia for price updates? (if possible)
I haven't seen that tutorial, but I agree that HTTP.jl, Gumbo.jl, and Cascadia.jl are the way. I used them to export public wishlists from bookdepository, which has no API nor a built in exporting tool.
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Why not Julia?
I find some of the library documentation hard to understand. Compare http.jl with python's requests, for example. Something as core as HTTP requests should have clear docs with tonnes of examples. Part of this is also a personal dislike of documenter.jl styling. Idk why the contrast is so low – would prefer a standard readthedocs theme.
- Julia 1.6: what has changed since Julia 1.0?
Makie.jl
- Julia and Mojo (Modular) Mandelbrot Benchmark
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SproutLife simulates the evolution of complex life.
Thanks! Looks like the Julia Makie library can do graphics and gui widgets as well -https://github.com/JuliaPlots/Makie.jl
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Zig library for generative images
How tricky or hard would it be to create nice looking plots from that? Something like https://github.com/JuliaPlots/Makie.jl but more low level.
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Julia 1.6: what has changed since Julia 1.0?
Makie.jl [1] does it's plotting on the GPU, so can handle millions of datapoints just fine.
Also, note that for people to whom plotting is really important, it's quite easy nowadays to just AOT compile your plotting library to your sysimage with PackageCompiler.jl [2] for instant plots.
What are some alternatives?
Gadfly.jl - Crafty statistical graphics for Julia.
PyPlot.jl - Plotting for Julia based on matplotlib.pyplot
Gnuplot.jl - Julia interface to gnuplot
RCall.jl - Call R from Julia
oneAPI.jl - Julia support for the oneAPI programming toolkit.
duckdf - 🦆 SQL for R dataframes, with ducks
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
Franklin.jl - (yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.
geni-performance-benchmark
julia - The Julia Programming Language
SproutLife - Evolving version of Conway’s Game of Life.