DLMReader.jl
High-performance delimited-file reader and writer for Julia (by sl-solution)
DataFramesMeta.jl
Metaprogramming tools for DataFrames (by JuliaData)
DLMReader.jl | DataFramesMeta.jl | |
---|---|---|
1 | 4 | |
26 | 474 | |
- | 1.9% | |
4.9 | 6.7 | |
12 months ago | about 1 month ago | |
Julia | Julia | |
MIT License | 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.
DLMReader.jl
Posts with mentions or reviews of DLMReader.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-06.
-
Best alternative for python
Julia is great https://github.com/JuliaData or https://github.com/sl-solution/DLMReader.jl might be a good startingpoint
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
-
Why not Julia?
A package: https://github.com/JuliaData/DataFramesMeta.jl
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Is there tidyverse/dplyr for Julia?
I'd also heartily recommend DataFramesMeta which provides really nice macros for manipulating dataframes.
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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.
What are some alternatives?
When comparing DLMReader.jl and DataFramesMeta.jl you can also consider the following projects:
db-benchmark - reproducible benchmark of database-like ops
DataFrames.jl - In-memory tabular data in Julia
siuba - Python library for using dplyr like syntax with pandas and SQL
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
TwoBasedIndexing.jl - Two-based indexing
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia
HTTP.jl - HTTP for Julia
Tidier.jl - Meta-package for data analysis in Julia, modeled after the R tidyverse.
Sirion - A one dimensional hydrodynamic simulation in Julia
PackageCompiler.jl - Compile your Julia Package
db-benchmark - reproducible benchmark of database-like ops
julia - The Julia Programming Language
DataFramesMeta.jl vs db-benchmark
DataFramesMeta.jl vs DataFrames.jl
DataFramesMeta.jl vs siuba
DataFramesMeta.jl vs DaemonMode.jl
DataFramesMeta.jl vs TwoBasedIndexing.jl
DataFramesMeta.jl vs FromFile.jl
DataFramesMeta.jl vs HTTP.jl
DataFramesMeta.jl vs Tidier.jl
DataFramesMeta.jl vs Sirion
DataFramesMeta.jl vs PackageCompiler.jl
DataFramesMeta.jl vs db-benchmark
DataFramesMeta.jl vs julia