Scientific Archives - Page 20 of 34

Polars – DataFrame interface on top of an OLAP Query Engine

Polars is a DataFrame interface on top of an OLAP Query Engine implemented in Rust using Apache Arrow Columnar Format

datatable is a Python package for manipulating 2-dimensional tabular data structures (aka data frames).

Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instantly speed up your workflows.

pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools.

NumPy is the fundamental package for scientific computing with Python.

SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.

Vaex is a program and Python library to visualize and explore large tabular datasets. It can calculate statistics.

HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple.

Dask is a flexible parallel computing library for analytic computing. It takes a Python job and shares it across multiple systems.

Optimus is the missing framework to profile, clean, process and do ML in a distributed fashion using Apache Spark (PySpark).

yt is an open-source Python package for analyzing and visualizing volumetric data. yt focuses on driving physically-meaningful inquiry.

AWS Data Wrangler extends the power of Pandas library to AWS connecting DataFrames and AWS data related services.

The R Project for Statistical Computing (R) is a free software environment for statistical computing and graphics.

MOA is a software environment for implementing algorithms and running experiments for online learning from evolving data streams.

Orange is a component-based framework for machine learning and data mining. It includes a range of data visualization, and exploration.