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.

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.

holobench

A package for benchmarking the characteristics of arbitrary functions

ado-core

A framework for designing, executing and analysing experiment campaigns

fg-data-profiling

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

rubicon-ml

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

webviz-subsurface

Webviz-config plugins for subsurface data.

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

An open-source Python library for Data Scientists & Data Analysts designed to simplify the exploratory data analysis process. Using Edvart, you can explore data sets and generate reports with minimal coding.

test-new-data-profiling

Generate profile report for pandas DataFrame

xpag

a modular reinforcement learning library with JAX agents

haiqv-profiling

Generate profile report for pandas DataFrame

mongo2neo4j

Imports object structures generated by MongoDB object relation mappers (like Mongoose) into Neo4j for exploration with SemSpect

awesome-streamlit

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

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

A pandas-based library to visualize and compare datasets.