matplotlib
C++ wrappers around python's matplotlib (by ThijsWithaar)
vnlog
Process labelled tabular ASCII data using normal UNIX tools (by dkogan)
matplotlib | vnlog | |
---|---|---|
1 | 24 | |
4 | 158 | |
- | - | |
0.0 | 5.7 | |
over 5 years ago | 6 days ago | |
C++ | Perl | |
- | - |
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.
matplotlib
Posts with mentions or reviews of matplotlib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-12.
-
Best scientific graphing library?
By using pybind11 that one can be written with far fewer lines of code.
vnlog
Posts with mentions or reviews of vnlog.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-22.
- Vnlog: Process labelled tabular ASCII data using normal Unix tools
- Process tabular data with Unix tools
-
Qsv: Efficient CSV CLI Toolkit
For simple analyses (i.e. what most people do most of the time) doing this on the commandline gets you there faster. I use vnlog (https://github.com/dkogan/vnlog/). By the time you fired up your editor to write your Python code, I already have analyses and plots ready.
-
Joining CSV Data Without SQL: An IP Geolocation Use Case
Alternative very appropriate for some uses cases: `vnl-join` from the vnlog toolkit (https://github.com/dkogan/vnlog). Uses the `join` tool from coreutils (works well, has been around forever), and `vnlog` for nice column labelling
-
Miller: Like Awk, sed, cut, join, and sort for CSV, TSV, and tabular JSON
There's also https://github.com/dkogan/vnlog/ which is a wrapper around the existing coreutils, so all the options work, and there's nothing to learn
- vnlog: making awk and sort and join (and friends) smarter
-
Awk equivalents to SQL query data manipulation
And to improve the ergonomics, the vnlog wrappers are available to operate on field names, while retaining the internals of the core tools:
https://github.com/dkogan/vnlog/
- Vnlog: Making Awk, grep, sort and join smarter
-
Learn to Process Text in Linux Using Grep, Sed, and Awk
I sorta, kinda agree. Tools written in AWK (and friends) are indeed somewhat unmaintainable, but they're really close to being just right for a LOT of applications. The vnlog toolkit (https://github.com/dkogan/vnlog) adds just a little bit of syntactic sugar to the usual commandline tools to make processing scripts robust and easy to read and write. This was not my intent initially, but I now do most of my data processing with the shell and vnl-wrapped awk (and sort and join, ...) It's really nice. If you write stuff in awk, you should check it out. (Disclaimer: I'm the author)
- Extending Awk with Field Labels
What are some alternatives?
When comparing matplotlib and vnlog you can also consider the following projects:
matplotplusplus - Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
ttyplot - a realtime plotting utility for terminal/console with data input from stdin
implot - Immediate Mode Plotting
matplotlib-cpp - Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib
RecordStream - commandline tools for slicing and dicing JSON records.
feedgnuplot - Tool to plot realtime and stored data from the commandline, using gnuplot.
nvim-ipy - IPython/Jupyter plugin for Neovim
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
jupytext.vim - Vim plugin for editing Jupyter ipynb files via jupytext