SaaSHub helps you find the best software and product alternatives Learn more →
PyCall.jl Alternatives
Similar projects and alternatives to PyCall.jl
-
-
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
-
-
ihp
🔥 The fastest way to build type safe web apps. IHP is a new batteries-included web framework optimized for longterm productivity and programmer happiness
-
-
Apache Arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
-
-
doctest
The fastest feature-rich C++11/14/17/20/23 single-header testing framework
-
Slick
Slick (Scala Language Integrated Connection Kit) is a modern database query and access library for Scala (by slick)
-
-
-
-
fast-ruby
:dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
-
-
Revise.jl
Automatically update function definitions in a running Julia session
-
are-we-fast-yet
Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
-
ScalikeJDBC
A tidy SQL-based DB access library for Scala developers. This library naturally wraps JDBC APIs and provides you easy-to-use APIs.
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better PyCall.jl alternative or higher similarity.
PyCall.jl reviews and mentions
Posts with mentions or reviews of PyCall.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-06.
-
I just started into Julia for ML
For point 3 you can use https://github.com/cjdoris/PythonCall.jl or https://github.com/JuliaPy/PyCall.jl (and their respective Python sister packages).
- The Mojo Programming Language: A Python Superset Drawing from Rust's Strengths
-
Calling Chapel, Carbon, and zig code in Julia
PyCall.jl is really handy. Are there any similar projects for calling Chapel code, or Carbon/zig?
-
Am I dumb in thinking I can use Rust as a Fast Python and leave it at that?
Julia and Python interop should not be a problem at all. Actually Julia has one of the best interops I’ve ever seen, so much that swift copied it. https://github.com/JuliaPy/PyCall.jl
- Which tools do you use for python + Data Science?
-
I don't want to abandon Rust for Julia
One small note, julia also has great python interop via PyCall.jl
- Faster Python calculations with Numba: 2 lines of code, 13× speed-up
-
Interoperability in Julia
It is possible to call Python from Julia using PyCall. Then to install PyCall, run the command in the Julia REPL.
-
Why is Python so used in the machine learning?
That said, you can run python modules in Julia. So you can just export your code as a module and then use it in Julia via the PyCall package. short description here github here <— you’d just add the pacakge via the really nice package manager built into julia, but for link for more detailed documentation
- Use rust code in Python with pyo3
-
A note from our sponsor - SaaSHub
www.saashub.com | 18 Apr 2024
Stats
Basic PyCall.jl repo stats
28
1,437
6.1
about 1 month ago
JuliaPy/PyCall.jl is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of PyCall.jl is Julia.
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com