awesome-python VS ydata-profiling

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

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
awesome-python ydata-profiling
85 43
204,062 11,992
- 1.3%
7.1 8.5
7 days ago 7 days ago
Python Python
GNU General Public License v3.0 or later 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.

awesome-python

Posts with mentions or reviews of awesome-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-07.

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

Qtile-Config - This is my configuration of Qtile, a window manager written in python.

dtale - Visualizer for pandas data structures

VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

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

Pyadomd - A pythonic approach to query SSAS data models.

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

DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

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

Box - Python dictionaries with advanced dot notation access

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.

timebudget - Stupidly-simple speed measurements for Python.

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