Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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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 🚀
the portable Python dataframe library
dplyr: A grammar of data manipulation
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++
A Python package for manipulating 2-dimensional tabular data structures
In-memory tabular data in Julia
Machine learning with dataframes
Query processing and transformation of array-backed data tables.
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
Data Frames for Common Lisp
Package providing functionality similar to Python's Pandas or R's data.frame()
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.