lux VS ydata-profiling

Compare lux vs ydata-profiling and see what are their differences.

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lux ydata-profiling
13 43
25,247 12,053
- 1.8%
7.4 8.5
4 days ago 5 days ago
Go Python
MIT License 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.

lux

Posts with mentions or reviews of lux. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-12.

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 lux and ydata-profiling you can also consider the following projects:

cyberdrop-downloader - Cyberdrop.me album downloader written in Go

dtale - Visualizer for pandas data structures

yt-dlp - A feature-rich command-line audio/video downloader

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

unifi-protect-remux - Tool to help remux .ubv files from Ubiquiti's Unifi Protect system so they can be turned into standard .mp4 files

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

youtube - Download media or send API requests

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

aria2 - aria2 is a lightweight multi-protocol & multi-source, cross platform download utility operated in command-line. It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink.

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.

dataprep - Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

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