HTTP.jl
HTTP for Julia (by JuliaWeb)
TwoBasedIndexing.jl
Two-based indexing (by simonster)
Our great sponsors
HTTP.jl | TwoBasedIndexing.jl | |
---|---|---|
7 | 11 | |
623 | 57 | |
1.3% | - | |
7.7 | 0.0 | |
6 days ago | almost 7 years ago | |
Julia | Julia | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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
Posts with mentions or reviews of HTTP.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-17.
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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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How can I use Julia to search on the web automatically?
If you want to just get the html of a website whose url you already have you can make requests from the http.jl package. https://juliaweb.github.io/HTTP.jl/stable/
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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?
TwoBasedIndexing.jl
Posts with mentions or reviews of TwoBasedIndexing.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-28.
- PyCharm is the worst IDE I have used. /s
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Obviously European elevators are designed by C programmers!
We need to evolve 2 based indexing is the superior choice
- I promise it won’t hurt you
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The counter-intuitive rise of Python in scientific computing
There are other choices like https://github.com/simonster/TwoBasedIndexing.jl and https://github.com/giordano/StarWarsArrays.jl if you do not like 1-based indexing.
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what a wonderful world
Not a problem, there are packages that let you have two-based indexing.
- Kill it bevor it lays eggs
- How to start a war
- Why does Julia adopt 1-based index?
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some may hate it, some may love it
The one and only indexing is https://github.com/simonster/TwoBasedIndexing.jl
- Why not Julia?
What are some alternatives?
When comparing HTTP.jl and TwoBasedIndexing.jl you can also consider the following projects:
geni-performance-benchmark
DataFramesMeta.jl - Metaprogramming tools for DataFrames
julia - The Julia Programming Language
OffsetArrays.jl - Fortran-like arrays with arbitrary, zero or negative starting indices.
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
JET.jl - An experimental code analyzer for Julia. No need for additional type annotations.
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia
BinaryBuilder.jl - Binary Dependency Builder for Julia
StarWarsArrays.jl - Arrays indexed as the order of Star Wars movies
PackageCompiler.jl - Compile your Julia Package
Bigsimr.jl - Simulate multivariate distributions with arbitrary marginals.
HTTP.jl vs geni-performance-benchmark
TwoBasedIndexing.jl vs DataFramesMeta.jl
HTTP.jl vs julia
TwoBasedIndexing.jl vs OffsetArrays.jl
HTTP.jl vs DaemonMode.jl
TwoBasedIndexing.jl vs julia
HTTP.jl vs JET.jl
TwoBasedIndexing.jl vs FromFile.jl
HTTP.jl vs BinaryBuilder.jl
TwoBasedIndexing.jl vs StarWarsArrays.jl
HTTP.jl vs PackageCompiler.jl
TwoBasedIndexing.jl vs Bigsimr.jl