DataFramesMeta.jl
Metaprogramming tools for DataFrames (by JuliaData)
DataFrames.jl
In-memory tabular data in Julia (by JuliaData)
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| DataFramesMeta.jl | DataFrames.jl | |
|---|---|---|
| 4 | 9 | |
| 470 | 1,686 | |
| 2.8% | 0.9% | |
| 6.9 | 7.0 | |
| 18 days ago | 3 days ago | |
| Julia | Julia | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
DataFramesMeta.jl
Posts with mentions or reviews of DataFramesMeta.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-17.
- Pandas vs. Julia – cheat sheet and comparison
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Why not Julia?
A package: https://github.com/JuliaData/DataFramesMeta.jl
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[S] Among R, Python, SQL, and SAS, which language(s) do you prefer to perform data manipulation and merge datasets?
I do get the feeling though that Python people are considered “more sophisticated” as programmers than R. But I think Julia is gaining traction now and it can handle general programming tasks better than R can, while still remaining pretty similar so its worth learning too. It has DataFramesMeta.jl: https://github.com/JuliaData/DataFramesMeta.jl. Works like dplyr.
DataFrames.jl
Posts with mentions or reviews of DataFrames.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-30.
-
IJulia: The Julia Notebook
IJulia also supports viewing and manipulating tables. To create a table, first install the DataFrames.jl package by running the following command in a new cell:
-
Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
It were just a few percents of all possible manipulations that you can do with data using DataFrames.jl library. Read more about it in the documentation.
-
Unleashing the Power of Julia: Top 5 Must-Have Packages
DataFrames.jl
-
Automate the boring stuff with Julia?
DataFrames.jl and XLSX.jl for JSON, CSV, and XLSX files
- What would it take to recreate dplyr in Python?
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Teaching Python
Julia also has the CSV.jl library for reading/writing csv files, the DataFrames.jl library for manipulating data like pandas, and Images.jl for image processing/analysis. However, since Julia is so much newer than Python, the Julia libraries are almost never as feature rich as their Python counterparts.
-
Polars (Rust DataFrame library) join algorithm fastest in db-benchmark
Looks like it's single threaded according to this open issue: https://github.com/JuliaData/DataFrames.jl/issues/2626
What are some alternatives?
When comparing DataFramesMeta.jl and DataFrames.jl you can also consider the following projects:
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Tables.jl - An interface for tables in Julia
db-benchmark - reproducible benchmark of database-like ops
siuba - Python library for using dplyr like syntax with pandas and SQL
Plots.jl - Powerful convenience for Julia visualizations and data analysis
MPI.jl - MPI wrappers for Julia
TwoBasedIndexing.jl - Two-based indexing
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia
ScikitLearn.jl - Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
LaTeXDatax.jl - Julia plugin for the datax LaTeX package
Curry.jl - Currying for Julia
DataFrames.jl vs polars
DataFrames.jl vs Tables.jl
DataFramesMeta.jl vs db-benchmark
DataFramesMeta.jl vs siuba
DataFrames.jl vs Plots.jl
DataFrames.jl vs MPI.jl
DataFramesMeta.jl vs TwoBasedIndexing.jl
DataFramesMeta.jl vs DaemonMode.jl
DataFramesMeta.jl vs FromFile.jl
DataFrames.jl vs ScikitLearn.jl
DataFrames.jl vs LaTeXDatax.jl
DataFrames.jl vs Curry.jl