vnlog
Process labelled tabular ASCII data using normal UNIX tools (by dkogan)
vim-ipython-cell
Seamlessly run Python code in IPython from Vim (by hanschen)
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vnlog | vim-ipython-cell | |
---|---|---|
24 | 11 | |
158 | 319 | |
- | - | |
6.7 | 3.1 | |
4 months ago | 11 months ago | |
Perl | Python | |
- | GNU General Public License v3.0 only |
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.
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
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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.
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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
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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
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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
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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
vim-ipython-cell
Posts with mentions or reviews of vim-ipython-cell.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-12.
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Neovim workflow for machine learning / data scientist. Struggling with jupyter notebooks.
hanschen/vim-ipython-cell: Seamlessly run Python code in IPython from Vim with tmux
- data science (jupyter notebooks) with vim?
- Nicer jupyter notebook workflow with neovim thanks to Jupytext and mini.ai
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Is there anything like a running Jupyter Kernel LSP?
With stuff like https://github.com/dccsillag/magma-nvim or https://github.com/hanschen/vim-ipython-cell, I rarely never use a Jupyter notebook anymore.
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Vim & Tmux for Python with figures
I like to use Vim and Tmux on Linux, however, for Python I often end up using the Spyder IDE as it has the convenient functionality of putting all the plots in one window and allowing me to scroll through it when I have multiple graphs for a script. I am aware of nice solutions like https://github.com/hanschen/vim-ipython-cell and https://gontcharov.be/blog/vim-tmux-python that allow one to use VIM and TMUX. This seems like an excellent solution, but I am missing the figure component. Anybody has a good suggestion for that?
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jupyter and vim
I personally have vim (or neovim) and IPython open in two panes in tmux and then use my plugin vim-ipython-cell to run the code. It supports running code cells similar to what you have in Jupyter notebooks, so you can for example have one cell that reads the data and another cell to make the plot, and then just re-run the plotting part.
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Help with setting up Vim for Python 🙏🏻
If you'd like a Jupyter Notebooks-like experience, where you execute one cell at a time and such, try these together: - https://github.com/hanschen/vim-ipython-cell - https://github.com/jpalardy/vim-slime - tmux or you could try using vim's builtin terminal, though it's a bit... unideal - ipython of course. It's way better for interactivity than python3
- Python devs out there: what are you using to get a jupyter notebook style experience?
- Please help a newbie understand your workflow (python)
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Nbterm: Jupyter Notebooks in the Terminal
If you use vim, you can also try https://github.com/hanschen/vim-ipython-cell . It works quite well
What are some alternatives?
When comparing vnlog and vim-ipython-cell you can also consider the following projects:
ttyplot - a realtime plotting utility for terminal/console with data input from stdin
nvim-ipy - IPython/Jupyter plugin for Neovim
matplotplusplus - Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
nbterm - Jupyter Notebooks in the terminal.
RecordStream - commandline tools for slicing and dicing JSON records.
vim-slime - A vim plugin to give you some slime. (Emacs)
jupyter - An interface to communicate with Jupyter kernels.
jupytext.vim - Vim plugin for editing Jupyter ipynb files via jupytext
matplotlib - C++ wrappers around python's matplotlib
magma-nvim - Interact with Jupyter from NeoVim.
vnlog vs ttyplot
vim-ipython-cell vs nvim-ipy
vnlog vs matplotplusplus
vim-ipython-cell vs nbterm
vnlog vs RecordStream
vim-ipython-cell vs vim-slime
vnlog vs nvim-ipy
vim-ipython-cell vs jupyter
vnlog vs jupytext.vim
vim-ipython-cell vs jupytext.vim
vnlog vs matplotlib
vim-ipython-cell vs magma-nvim