dataframes

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

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

The Universal Storage Engine

In-memory tabular data in Julia

Machine learning with dataframes

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

PySpark-Tutorial provides basic algorithms using PySpark

Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir

GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs

Easy pipelines for pandas DataFrames.

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

Metaprogramming tools for DataFrames

Immutable and statically-typeable DataFrames with runtime type and data validation

An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.

A package to easily open an instance of a Google spreadsheet and interact with worksheets through Pandas DataFrames.

64bit multithreaded python data analytics tools for numpy arrays and datasets

⛈️ RumbleDB 1.23.0 "Mountain Ash" 🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian