Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- data-analysis
- pandas
- flexible
- alignment
81,588 visible repositories in the index
1–17 of 17 · Most stars
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Extremely fast Query Engine for DataFrames, written in Rust
Modin: Scale your Pandas workflows by changing a single line of code
cuDF - GPU 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 🚀
Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.
R's data.table package extends data.frame:
Java dataframe and visualization library
Koalas: pandas API on Apache Spark
C++ DataFrame for statistical, financial, and ML analysis in modern C++
chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse
A Python package for manipulating 2-dimensional tabular data structures
Machine learning with dataframes
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
Easy to use .NET library for data and time series manipulation and for scientific programming
The foundational library of the Morpheus data science framework
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.