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JuliaPy
Pandas.jl
Julia2014–2014
JuliaPy / Pandas.jl

Pandas.jl

A Julia front-end to Python's Pandas package.

Web DevelopmentData & Databases
Explore on GitHubRead Hacker News discussions
2Distinct people
3Mentions
0Explicit recommenders
173GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A Julia front-end to Python's Pandas package.

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 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 week3 dated mentions

Observed mentions: 2014-03-23 15:20:51 UTC to 2014-08-23 22:20:19 UTC. Weeks start Monday, UTC.

0122014-03-17 00:00:00 UTC to 2014-03-24 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 172014-03-24 00:00:00 UTC to 2014-03-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-03-31 00:00:00 UTC to 2014-04-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-04-07 00:00:00 UTC to 2014-04-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-04-14 00:00:00 UTC to 2014-04-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-04-21 00:00:00 UTC to 2014-04-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-04-28 00:00:00 UTC to 2014-05-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-05-05 00:00:00 UTC to 2014-05-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-05-12 00:00:00 UTC to 2014-05-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-05-19 00:00:00 UTC to 2014-05-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-05-26 00:00:00 UTC to 2014-06-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-06-02 00:00:00 UTC to 2014-06-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJun 22014-06-09 00:00:00 UTC to 2014-06-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-06-16 00:00:00 UTC to 2014-06-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-06-23 00:00:00 UTC to 2014-06-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-06-30 00:00:00 UTC to 2014-07-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-07-07 00:00:00 UTC to 2014-07-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-07-14 00:00:00 UTC to 2014-07-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-07-21 00:00:00 UTC to 2014-07-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-07-28 00:00:00 UTC to 2014-08-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-08-04 00:00:00 UTC to 2014-08-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-08-11 00:00:00 UTC to 2014-08-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-08-18 00:00:00 UTC to 2014-08-25 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsAug 18

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
Mar 172014-03-17 00:00:00 UTC2014-03-24 00:00:00 UTC101
Mar 242014-03-24 00:00:00 UTC2014-03-31 00:00:00 UTC000
Mar 312014-03-31 00:00:00 UTC2014-04-07 00:00:00 UTC000
Apr 72014-04-07 00:00:00 UTC2014-04-14 00:00:00 UTC000
Apr 142014-04-14 00:00:00 UTC2014-04-21 00:00:00 UTC000
Apr 212014-04-21 00:00:00 UTC2014-04-28 00:00:00 UTC000
Apr 282014-04-28 00:00:00 UTC2014-05-05 00:00:00 UTC000
May 52014-05-05 00:00:00 UTC2014-05-12 00:00:00 UTC000
May 122014-05-12 00:00:00 UTC2014-05-19 00:00:00 UTC000
May 192014-05-19 00:00:00 UTC2014-05-26 00:00:00 UTC000
May 262014-05-26 00:00:00 UTC2014-06-02 00:00:00 UTC000
Jun 22014-06-02 00:00:00 UTC2014-06-09 00:00:00 UTC000
Jun 92014-06-09 00:00:00 UTC2014-06-16 00:00:00 UTC000
Jun 162014-06-16 00:00:00 UTC2014-06-23 00:00:00 UTC000
Jun 232014-06-23 00:00:00 UTC2014-06-30 00:00:00 UTC000
Jun 302014-06-30 00:00:00 UTC2014-07-07 00:00:00 UTC000
Jul 72014-07-07 00:00:00 UTC2014-07-14 00:00:00 UTC000
Jul 142014-07-14 00:00:00 UTC2014-07-21 00:00:00 UTC000
Jul 212014-07-21 00:00:00 UTC2014-07-28 00:00:00 UTC000
Jul 282014-07-28 00:00:00 UTC2014-08-04 00:00:00 UTC000
Aug 42014-08-04 00:00:00 UTC2014-08-11 00:00:00 UTC000
Aug 112014-08-11 00:00:00 UTC2014-08-18 00:00:00 UTC000
Aug 182014-08-18 00:00:00 UTC2014-08-25 00:00:00 UTC202

What Hacker News says

3 sources
idunning·Aug 23, 2014
Sorry for self-reply, but ran out of edit time: a very valid concern about Julia is the lack of packages because it is new - a catch-22 situation that all new languages. This has been recognized by developers and Julia has now got some great inter-language interop packages and functionality, allowing it to harness a world of packages in other languages. * Very efficient interaction with C and Fortran libraries is a core Julia feature, with the ability to pass arrays and structs directly between C and Julia. Calling C: http://docs.julialang.org/en/latest/manual/calling-c-and-for... * Python libraries can be used through PyCall.jl, which is used most famously to call matplotlib (PyPlot.jl) but also other libraries like pandas (Pandas.jl). PyCall.jl: https://github.com/stevengj/PyCall.jl PyPlot.jl: https://github.com/stevengj/PyPlot.jl Panda
Read the rest
s.jl: https://github.com/malmaud/Pandas.jl * Java libraries can be used through JavaCall.jl, which is used in Taro.jl to call Apache Tika and Apache POI JavaCall.jl: https://github.com/aviks/JavaCall.jl Taro.jl: https://github.com/aviks/Taro.jl * R libraries can be called through Rif.jl Rif.jl: https://github.com/lgautier/Rif.jl
In Julia 0.3 released
lolball·Mar 23, 2014
FWIW, there exists a package for calling Pandas from Julia with almost no overhead. It lets you set and get elements of Pandas timeseries as fast as native Julia arrays: https://github.com/malmaud/Pandas.jl (I'm the author). Thus Julia can be seen as a tool that leverages Pandas, not as a rival. In fact, most Python libraries are very easy to wrap in Julia because of the PyCall package (https://github.com/stevengj/PyCall.jl).
In Julia vs. Python: Monte Carlo Simulations of Bitcoin Options

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