Polars is a DataFrame interface on top of an OLAP Query Engine implemented in Rust using Apache Arrow Columnar Format
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Category: Scientific
datatable – manipulate 2-dimensional tabular data structures
datatable is a Python package for manipulating 2-dimensional tabular data structures (aka data frames).
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Modin – drop-in replacement for pandas
Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instantly speed up your workflows.
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pandas – Python Data Analysis Library
pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools.
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NumPy – core package for scientific computing with Python
NumPy is the fundamental package for scientific computing with Python.
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SciPy – Scientific Computing Tools for Python
SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
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Vaex – Multi-code Analysis Toolkit for Visualization and Exploration of Big Tabular Data
Vaex is a program and Python library to visualize and explore large tabular datasets. It can calculate statistics.
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HoloViews – Make Data Analysis and Visualization Seamless
HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple.
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Dask – Advanced Parallelism for Analytics
Dask is a flexible parallel computing library for analytic computing. It takes a Python job and shares it across multiple systems.
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Optimus – profile, clean, process and perform machine learning
Optimus is the missing framework to profile, clean, process and do ML in a distributed fashion using Apache Spark (PySpark).
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yt – Multi-code Toolkit for Analyzing and Visualizing Volumetric Data
yt is an open-source Python package for analyzing and visualizing volumetric data. yt focuses on driving physically-meaningful inquiry.
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AWS Data Wrangler – extends the power of Pandas library
AWS Data Wrangler extends the power of Pandas library to AWS connecting DataFrames and AWS data related services.
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R – software environment for statistical computing and graphics
The R Project for Statistical Computing (R) is a free software environment for statistical computing and graphics.
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MOA – software environment for data stream mining
MOA is a software environment for implementing algorithms and running experiments for online learning from evolving data streams.
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Orange – data mining software
Orange is a component-based framework for machine learning and data mining. It includes a range of data visualization, and exploration.
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ELKI – data mining software written in Java
Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) is a data mining software framework.
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DataMelt – scientific computation, data analysis and data visualization
DataMelt is an environment for scientific computation, data analysis and data visualization.
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Weka – collection of machine learning algorithms for data mining tasks
Weka (Waikato Environment for Knowledge Analysis) is a comprehensive popular suite of machine learning software written in Java.
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Rattle – R analytical tool
Rattle provides a Gnome based open source interface to R functionality for binary classification tasks and data mining.
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SU2 – suite for multiphysics simulation and design
SU2 is a suite of tools for the numerical solution of partial differential equations (PDE) and performing PDE constrained optimization.
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