Parquet Files Python Packages

petastorm

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.

pymongoarrow

MongoDB integrations for Apache Arrow. Export MongoDB documents to numpy array, parquet files, and pandas dataframes in one line of code.

parquet-py

A simple command-line interface & Python API for parquet

lastra-convert

CLI converter for the Lastra columnar time series file format. Parquet / CSV / Arrow ↔️ Lastra round-trips.

parq-cli

A powerful command-line tool for inspecting tabular files like Parquet, CSV, and XLSX

csvcli

A light-weight command-line tool to browse and query CSV, Excel and Apache Parquet files, regardless of their size.

hops-petastorm

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.

parquet-converter

Python utility to convert TXT and CSV files to Parquet