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JuliaPy
PyCall.jl
Julia2013–2023
JuliaPy / PyCall.jl

PyCall.jl

Package to call Python functions from the Julia language

Science & Engineering
Explore on GitHubRead Hacker News discussions
32Distinct people
54Mentions
0Explicit recommenders
1.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Package to call Python functions from the Julia language

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 12:03:30 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year54 dated mentions

Observed mentions: 2013-04-02 07:32:02 UTC to 2023-05-08 19:51:51 UTC.

0510152013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 7 mentions; 1 submissions, 6 comments20132014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 7 mentions; 0 submissions, 7 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 8 mentions; 0 submissions, 8 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 15 mentions; 1 submissions, 14 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC716
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC707
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC303
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC202
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC514
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC404
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC808
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC15114
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202

What Hacker News says

4 sources
Sean1708·Nov 26, 2019
> I don't really see how new languages that are not compatible can be competitive. What exactly would you like Julia to be compatible with? Python? https://github.com/JuliaPy/PyCall.jl JS? https://github.com/SimonDanisch/JSCall.jl C++? https://github.com/JuliaInterop/Cxx.jl Java? https://github.com/JuliaInterop/JavaCall.jl R? https://github.com/JuliaInterop/RCall.jl Not all of these are fully polished, but they're all being worked on (plus there are a bunch of others that aren't being actively worked on that I haven't put here).
In Julia v1.3
adamnemecek·May 10, 2019
There were some problems during the transition between 0.6 and 1.0 but that was kinda expected. After 1.0 it's been pretty breezy. Good IDE support (juno). Julia is fast. Numpy is actually c, julia is just julia. You have an amazing interop that just works. With python, matlab, c,c++,etc etc. https://github.com/JuliaPy/PyCall.jl Package manager just works. The language is a lot more powerful. Diffeq is around 1000 lines of code which is nuts.
In Diffeq.jl v6.4: Full GPU ODEs, Neural ODEs with Batching on GPUs, and More

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