the portable Python dataframe library

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

Lightweight and extensible compatibility layer between dataframe libraries!

Type annotations for pyarrow

Work with bioinformatic files using Arrow, Polars, and/or DuckDB

Dremio Arrow Flight Client

A web application for viewing Apache Parquet files . This is a Python + Flask application

Command-line interface to quickly generate fake CSV and JSON data

Exploring Chicago crimes dataset with Jupyter notebooks, DuckDB, Malloy and new Panel/PyScript data and dashboard tools.

Converts a whole subdirectory with a big (or small) volume of PDF documents to a dataset (pandas DataFrame) with error tracking and choice of features

Reading both XLSX and XLSB files, fast and memory-safe, with Python, into PyArrow

highspeed timeseries pandas dataframe database

Code examples / snippets for website news post

Poor mans simple python api for creating a local or remote datalake based on several (pyarrow) datasets using duckdb

db2ixf is a python package with a CLI that simplifies the parsing and processing of IBM Integration eXchange Format (IXF) files.

Saving large files on GitHub

manylinux2014 Python pkg builds

Python scripts to download, process, and analyze the New York City Taxi and Limousine Commission (TLC) Trip Record Data dataset

A loose implementation of the deltalake protocol, written in Python on top of pyarrow, focused on extensibility, customizability, and distributed data.