Open Source Data Analytics Tools

ISOPLOT is a flexible software tool for the analysis and interpretation of radiogenic-isotope data. It is developed by Dr Ken Ludwig of the Berkeley Geochronology Center. DISCLAIMER: Isoplot is BGC’s Visual Basic Add-in for Microsoft’s Excel(R) for data analysis and graphical presentation of geochronology, earth science and other radiogenic isotope data only. BGC’s Isoplot is not the Isoplot(R) for analysis of any measuring system as described at http://www.shainin.com/. BGC is not affiliated with Red X(R) Holdings, LLC. Isoplot(R) is a registered trademark of Red X(R) Holdings, and is licensed to Shainin(R) LLC.

Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT), is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for climate-data analysis problems.

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. Astropy is a Python library for use in astronomy. Learn Astropy provides a portal to all of the Astropy educational material through a single dynamically searchable web page. It allows you to filter tutorials by keywords, search for filters, and make search queries in tutorials and documentation simultaneously. The Anaconda Python Distribution includes Astropy and is the recommended way to install both Python and the Astropy package. The astropy package contains key functionality and common tools needed for performing astronomy and astrophysics with Python. It is at the core of the Astropy Project, which aims to enable the community to develop a robust ecosystem of affiliated packages covering a broad range of needs for astronomical research, data processing, and data analysis.

The EDAM ENCHILADA - The Exploratory Data Analysis and Management Project's Environmental Chemistry Data Processing and Mining Application.

The hsdar package contains classes and functions to manage, analyse and simulate hyperspectral data. These might be either spectrometer measurements or hyperspectral images through the interface of rgdal.

Matlab freeware for data analysis, by J. M. Lilly

MoDAVE aims at providing data analysis and visualization extensions to Mosaic datasets, including cubed sphere data, to the Climate Data Analysis Tools (CDATA) in particular.

The project is concerned with developing new plug-ins for the space plasma analysis software QSAS. The plug-ins are developed mainly for the Cluster II mission, Champ and Swarm. QSAS can be downloaded from: http://www.sp.ph.ic.ac.uk/csc-web/QSAS/

A GPR processer and viewer written in Python!