JLD2.jl
HDF5-compatible file format in pure Julia (by JuliaIO)
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)
| JLD2.jl | Chain.jl | |
|---|---|---|
| 2 | 8 | |
| 523 | 348 | |
| 1.3% | - | |
| 8.1 | 4.2 | |
| 7 days ago | 2 months ago | |
| Julia | Julia | |
| GNU General Public License v3.0 or later | MIT License |
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.
JLD2.jl
Posts with mentions or reviews of JLD2.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-17.
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Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
First, you need to save the model from the notebook to a file. For this you can use JLD2.jl module. This module used to serialize Julia object to HDF5-compatible format (which is well known by Python data scientists) and save it to a file.
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Best format to save matrices to a text file? (R interop)
I didn't realize this was the Julia subreddit. HDF5 or multiple CSV files would be my suggestion. As a side note, check out the JLD2 package. It's a HDF5 compatible format where the package is written in pure Julia.
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
What are some alternatives?
When comparing JLD2.jl and Chain.jl you can also consider the following projects:
julia - The Julia Programming Language
Pipe.jl - An enhancement to julia piping syntax
Plots.jl - Powerful convenience for Julia visualizations and data analysis
Genie.jl - 🧞The highly productive Julia web framework
Rocket.jl - Functional reactive programming extensions library for Julia
Revise.jl - Automatically update function definitions in a running Julia session
StatsWithJuliaBook
PaddedViews.jl - Add virtual padding to the edges of an array
PlotDocs.jl - Documentation for Plots.jl
Infiltrator.jl - No-overhead breakpoints in Julia
julia_titanic_model - Titanic machine learning model and web service
RCall.jl - Call R from Julia