PyCallChainRules.jl
Differentiate python calls from Julia (by rejuvyesh)
erfa
Essential Routines for Fundamental Astronomy. Maintainers: @eteq @mhvk @sergiopasra (by liberfa)
| PyCallChainRules.jl | erfa | |
|---|---|---|
| 1 | 2 | |
| 56 | 125 | |
| - | 0.0% | |
| 10.0 | 4.0 | |
| almost 2 years ago | 23 days ago | |
| Julia | C | |
| MIT License | 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.
PyCallChainRules.jl
Posts with mentions or reviews of PyCallChainRules.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-27.
-
Julia 1.10 Released
> Can I use PyTorch or JAX comfortably in Julia?
There is https://github.com/rejuvyesh/PyCallChainRules.jl which makes this possible. But using some of the native Julia ML libraries that others have mentioned is preferable.
erfa
Posts with mentions or reviews of erfa.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-27.
- Julia 1.10 Released
-
License Adherence Help
I'm working on a pure Rust approximation of astropy. Up til now, I was able to recreate the intent by looking at an external API, but I'm moving on to functionality that I don't understand enough to implement without basically copying the code. Astropy uses the BSD-3 license, and it wraps the ERFA library which uses a custom license. My project currently uses the MIT license. My PR is here - my question is have I attributed everything correctly, or is there anything I need to change for everything to be above-board?
What are some alternatives?
When comparing PyCallChainRules.jl and erfa you can also consider the following projects:
Torch.jl - Sensible extensions for exposing torch in Julia.
astro-rs - Astronomy utils written in Rust
threads - Threads for Lua and LuaJIT. Transparent exchange of data between threads is allowed thanks to torch serialization.
astropy - Astronomy and astrophysics core library
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
LibTIFF.jl - Clang.jl generated wrapper around Libtiff_jll.jl
assist - ASSIST is a software package for ephemeris-quality integrations of test particles.