JuliaPy/PythonCall.jl

Health v2 · maintenance only

Adoption not part of the score

1066 stars · 84 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PythonCall.jl is a Julia library providing a symmetric interface for calling Python code from Julia and Julia code from Python (via the JuliaCall Python module). It offers fast non-copying conversion of numeric arrays and intuitive wrappers mapping Python objects to their Julia counterparts and vice versa.

Use cases

• call python libraries like numpy or pandas from julia
• use julia functions from python in an ipython notebook
• convert julia dataframes to pandas dataframes without copying
• embed julia code in a python data science workflow
• plot julia data with python libraries like seaborn or matplotlib
• share numeric arrays between julia and python in place

When to choose

• you need bidirectional julia-python interop with a symmetric interface
• you want zero-copy sharing of numeric arrays between the two languages
• you want python code to look like python and julia code to look like julia

When to avoid

• you only need one-directional calls and a simpler tool suffices
• you use old versions of julia (<1.10) or python (<3.10)
• you need pure-python or pure-julia deployment without the other runtime installed

Facets

library · maturity active

sdk developer-tools programming-languages developer-tools data-science cross-platform python windows cross-platform julia python interoperability ffi language-bridge numpy dataframe-conversion linux macos

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