Dataframe Open Source Projects

Extremely fast Query Engine for DataFrames, written in Rust

PyGWalker: Turn your dataframe into an interactive UI for visual analysis

Modin: Scale your Pandas workflows by changing a single line of code

cuDF - GPU DataFrame Library

Apache Arrow DataFusion SQL Query Engine

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

Statistical Machine Intelligence & Learning Engine

common data analysis and machine learning tasks using python

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.

A股自动选股程序，实现了海龟交易法则、缠中说禅牛市买点，以及其他若干种技术形态

Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

Java dataframe and visualization library

Koalas: pandas API on Apache Spark

A GUI for Pandas DataFrames

Extract data from a wide range of Internet sources into a pandas DataFrame.

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

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

C++ DataFrame for statistical, financial, and ML analysis in modern C++

Pandas integration with sklearn

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

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

Fastest library to load data from DB to DataFrames in Rust and Python

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame

AI code-writing assistant that understands data content

Common financial technical indicators implemented in Pandas.

Jupyter notebook and datasets from the pandas video series

Distributed compute platform implemented in Rust, and powered by Apache Arrow.

📺(tv) Tidy Viewer is a cross-platform CLI csv pretty printer that uses column styling to maximize viewer enjoyment.

Apache Arrow Ballista Distributed Query Engine

A curated list of amazingly awesome Cybersecurity datasets

A Python to Vega translator

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Dask tutorial

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

Statistical Data Analysis in Python

DataFrame Server for Financial Timeseries Data

Query processing and transformation of array-backed data tables.

Clean APIs for data cleaning. Python implementation of R package Janitor

A nimble options backtesting library for Python

Pyspark RDD, DataFrame and Dataset Examples in Python language

A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews

简单易用的量化金融数据包(easy utility for getting financial market data of China)

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

This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.

Kotlin kernel for Jupyter/IPython

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

Python library for using dplyr like syntax with pandas and SQL

Predictive Power Score (PPS) in Python

🦘 Explore multimedia datasets at scale

KRX 주식 정보 스크래핑

Kotlin DataFrame: typesafe in-memory structured data processing for JVM

Various indicators developed or collected for the Freqtrade

Benchmark for different operations in pandas against various dataframe sizes.

A connector for Spark that allows reading and writing to/from Redis cluster

C# and F# language binding and extensions to Apache Spark

dplyr-style piping operations for pandas dataframes

A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton