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

Repository to store sample python programs for python learning

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

A light-weight, flexible, and expressive statistical data testing library

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

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

A native Rust library for Delta Lake, with bindings into Python

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

Make awesome display tables using Python

DataFrame Server for Financial Timeseries Data

This repository helps you learn Python and Machine Learning from scratch.

Jupyter magics and kernels for working with remote Spark clusters

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

An ongoing list of pandas quirks

InfluxDB 2.0 python client

Working with molecular structures in pandas DataFrames

Easy pipelines for pandas DataFrames.

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.