Hello-Kaggle VS ydata-profiling

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

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Hello-Kaggle ydata-profiling
4 43
78 12,085
- 1.2%
3.8 8.5
over 3 years ago 9 days ago
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.

Hello-Kaggle

Posts with mentions or reviews of Hello-Kaggle. We have used some of these posts to build our list of alternatives and similar projects.

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

machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

dtale - Visualizer for pandas data structures

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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

lemon-dataset - Lemons quality control dataset

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

apple-appstore-apps - Apple AppStore Apps dataset. (1.2 million App Data) and 21 attributes

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

datasets-for-good - List of datasets to apply stats/machine learning/technology to the world of social good.

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.

dataset-registry - Dataset registry DVC project

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