jupyter-vim-binding VS ydata-profiling

Compare jupyter-vim-binding vs ydata-profiling and see what are their differences.

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jupyter-vim-binding ydata-profiling
5 43
1,921 12,070
- 1.1%
0.0 8.5
over 3 years ago 1 day ago
JavaScript Python
- MIT License
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.

jupyter-vim-binding

Posts with mentions or reviews of jupyter-vim-binding. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-12.

ydata-profiling

Posts with mentions or reviews of ydata-profiling. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-26.

What are some alternatives?

When comparing jupyter-vim-binding and ydata-profiling you can also consider the following projects:

firenvim - Embed Neovim in Chrome, Firefox & others.

dtale - Visualizer for pandas data structures

nvim-ipy - IPython/Jupyter plugin for Neovim

DataProfiler - What's in your data? Extract schema, statistics and entities from datasets

euporie - Jupyter notebooks in the terminal

dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

lux - Automatically visualize your pandas dataframe via a single print! 📊 💡

jupyterlab-vim - :neckbeard: Vim notebook cell bindings for JupyterLab

get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

vim-ipython - A two-way integration between Vim and IPython 0.11+

evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b