jnumpy VS makepackage

Compare jnumpy vs makepackage and see what are their differences.

jnumpy

Writing Python C extensions in Julia within 5 minutes. (by Suzhou-Tongyuan)

makepackage

Package for easy packaging of Python code (by nyggus)
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jnumpy makepackage
9 1
227 45
0.9% -
3.9 7.4
11 days ago about 1 month ago
Julia Python
MIT License MIT License
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.

jnumpy

Posts with mentions or reviews of jnumpy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-29.

makepackage

Posts with mentions or reviews of makepackage. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-12.

What are some alternatives?

When comparing jnumpy and makepackage you can also consider the following projects:

ideas

sailboat - 🐍 A quick and easy way to distribute your Python projects!

poly-match - Source for the "Making Python 100x faster with less than 100 lines of Rust" blog post

tinyHTTPie - TinyHTTPie is the Product of the Multi-Part Series "The Evolution of a Script".

PythonCall.jl - Python and Julia in harmony.

gwbackupy - Open source Google Workspace™ backup solution written in python. (gmvault alternative)

log-booster - An VS code extension to quickly add frequently used log statements

hatch - Modern, extensible Python project management

Schemathesis - Automate your API Testing: catch crashes, validate specs, and save time

PackageCompiler.jl - Compile your Julia Package

numexpr - Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more