gnuplotlib
gnuplot for numpy (by dkogan)
vim-ipython-cell
Seamlessly run Python code in IPython from Vim (by hanschen)
| gnuplotlib | vim-ipython-cell | |
|---|---|---|
| 10 | 11 | |
| 242 | 323 | |
| - | - | |
| 6.4 | 3.1 | |
| 2 months ago | 12 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | 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.
gnuplotlib
Posts with mentions or reviews of gnuplotlib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-31.
-
Gnuplotlib: Non-Painful Plotting for NumPy
Looks great, minor API usability note: I don't know if there is an official convention but when naming an object that has the potential of overriding a builtin, rather than prepending with an underscore, e.g. `_with`, one does append to it: `with_`. The former is used and recognised for unused variables.
> _with is a curve option that indicates how this dataset should be plotted. It’s _with and not with because the latter is a built-in keyword in Python. [1]
- [1] https://github.com/dkogan/gnuplotlib/blob/master/guide/guide...
- gnuplotlib: numpy plotting with gnuplot
- Gnuplotlib: Gnuplot-Based Plotting for NumPy
- UnicodePlots
- Gnuplotlib: NumPy Plotting with Gnuplot
- Matplotlib Gallery
- gnuplotlib: a gnuplot-based plotting library for numpy
- Plotext – Python Plotting on the Terminal
- Nbterm: Jupyter Notebooks in the Terminal
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.
-
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
-
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.
-
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?
-
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.
-
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)
-
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 gnuplotlib and vim-ipython-cell you can also consider the following projects:
plotext - plotting on terminal
nvim-ipy - IPython/Jupyter plugin for Neovim
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
nbterm - Jupyter Notebooks in the terminal.
uniplot - Lightweight plotting to the terminal. 4x resolution via Unicode.
vim-slime - A vim plugin to give you some slime. (Emacs)
jupytext.vim - Vim plugin for editing Jupyter ipynb files via jupytext
jupyter - An interface to communicate with Jupyter kernels.
UnicodePlots.jl - Unicode-based scientific plotting for working in the terminal
magma-nvim - Interact with Jupyter from NeoVim.
gnuplotlib vs plotext
vim-ipython-cell vs nvim-ipy
gnuplotlib vs plotly
vim-ipython-cell vs nbterm
gnuplotlib vs uniplot
vim-ipython-cell vs vim-slime
gnuplotlib vs jupytext.vim
vim-ipython-cell vs jupyter
gnuplotlib vs jupyter
vim-ipython-cell vs jupytext.vim
gnuplotlib vs UnicodePlots.jl
vim-ipython-cell vs magma-nvim