Chain.jl
A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality. (by jkrumbiegel)
cmssw
CMS Offline Software (by cms-sw)
Our great sponsors
Chain.jl | cmssw | |
---|---|---|
8 | 2 | |
346 | 1,046 | |
- | 1.1% | |
4.2 | 10.0 | |
2 months ago | 4 days ago | |
Julia | C++ | |
MIT License | Apache License 2.0 |
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.
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.
Chain.jl
Posts with mentions or reviews of Chain.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-22.
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Pains of Julia compared to python
The [Chain.jl package](https://github.com/jkrumbiegel/Chain.jl) is becoming idiomatic for these kind of pipelines.
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Transition from R Tidyverse to Julia (VS Code)
If you do have tabular data in a dataframe you have a few options for data manipulation, the most popular packages are probably DataFramesMeta and Query, although in my opinion the best way to manipulate dataframes is with the functions built in to DataFrames.jl and using a package like Chain.jl or Pipe.jl to pipe the functions into each other like magrittr in R.
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The (updated) history of the pipe operator in R
The Julia community built a better piping method than any other language has AFAIK: Chain.jl.
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What are some of your favourite macros?
@chain and @match.
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Why is piping so well-accepted in the R community compared to those in Julia and Python?
Have you ever tried Infiltrator.jl and Chain.jl?
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https://np.reddit.com/r/Julia/comments/nnu6if/julia_object_oriented_programming_with_dot/h0anaru/
You are right. However, sometimes well used is very useful, and readable. One suggestion, in Julia I suggest Chain.jl, because it allows intercalate easily the output for debugging:
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Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
I also like pipe syntax and I've found there is nice support for it in Julia. There are some nice packages to improve it over base [1].
Have you checked queryverse [2]?
[1] https://github.com/jkrumbiegel/Chain.jl
cmssw
Posts with mentions or reviews of cmssw.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-20.
- Torvalds wants new NTFS driver in kernel
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Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
I don’t have much insight on the scientific computing landscape in general, but here’s one notable data point: I worked on the CMS experiment of LHC (Large Hadron Collider) for a while, which is one of the highest profile experiments in experimental physics. The majority of CMS code is C++, which you can check for yourself at https://github.com/cms-sw/cmssw (yes, much/most? of the code is open source). What I worked on specifically was prototyped in Python, then ported to C++ and plugged into the massive data processing pipeline where performance is critical due to the sheer amount of data. So I probably wouldn’t put C++ in parentheses.
What are some alternatives?
When comparing Chain.jl and cmssw you can also consider the following projects:
Pipe.jl - An enhancement to julia piping syntax
Genie.jl - 🧞The highly productive Julia web framework
RCall.jl - Call R from Julia
Revise.jl - Automatically update function definitions in a running Julia session
VegaLite.jl - Julia bindings to Vega-Lite
JLD2.jl - HDF5-compatible file format in pure Julia
org-mode - This is a MIRROR only, do not send PR.
PaddedViews.jl - Add virtual padding to the edges of an array
Transformers.jl - Julia Implementation of Transformer models
Infiltrator.jl - No-overhead breakpoints in Julia