Exploration Python Packages

ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

pandas-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

tangled-up-in-unicode

Access to the Unicode Character Database (UCD)

sweetviz

Visualize and compare datasets, target values and associations, with one line of code.

holobench

A package for benchmarking the characteristics of arbitrary functions

fg-data-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

aiden3drenderer

A real-time 3D function visualizer with a plug-and-play GPU pipeline—write simple compute shaders to create custom effects without dealing with complex rendering internals.

webviz-subsurface

Webviz-config plugins for subsurface data.

rubicon-ml

Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!

ado-core

A framework for designing, executing and analysing experiment campaigns

ado-vllm-performance

A framework for designing, executing and analysing experiment campaigns

datakit-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

edvart

Effective data visualization and reporting tool

test-new-data-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

haiqv-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

xpag

a modular reinforcement learning library with JAX agents

awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

mongo2neo4j

MongoDB Mongoose to Neo4j Importer

flatr

flatr is a Python library that takes any GitHub repository and creates a flat Markdown (.md) file containing the entire codebase and documentation. It is designed to make codebases easier to feed into LLMs for tasks like code explanation, summarization, and interactive documentation.

awesome-streamlit-master

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

haisweetviz

Visualize and compare datasets, target values and associations, with one line of code.