The Astropy Project is a community effort to develop a common core package for Astronomy in Python and foster an ecosystem of interoperable astronomy packages.
Read moreTag: data analysis
AstroImageJ – ImageJ for Astronomy
AstroImageJ (AIJ) is a simple and powerful tool for astronomical image analysis and precise photometry.
Read moreORSA – Orbit Reconstruction, Simulation and Analysis
Orbit Reconstruction, Simulation and Analysis (ORSA) is a framework for scientific grade Celestial Mechanics computations.
Read morePolars – 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
Read moredatatable – manipulate 2-dimensional tabular data structures
datatable is a Python package for manipulating 2-dimensional tabular data structures (aka data frames).
Read moreModin – 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.
Read morepandas – Python Data Analysis Library
pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools.
Read moreNumPy – core package for scientific computing with Python
NumPy is the fundamental package for scientific computing with Python.
Read moreSciPy – Scientific Computing Tools for Python
SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
Read moreVaex – 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.
Read moreHoloViews – Make Data Analysis and Visualization Seamless
HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple.
Read moreDask – 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.
Read moreOptimus – 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).
Read moreyt – 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.
Read moreAWS 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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