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Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
Python module for geostatistical modeling, ... Map generation and analysis ... Free 3D visualization and communication software for integrated, multi-disciplinary ...
The GPlates software platform comprises the GPlates desktop software, command line tools, GPlates Python library (pyGPlates), GPlates web service and web application, a high-level Python encapsulation package GPlately, a plate tectonic toolkit PlateTectonicTools and a data server which serves plate reconstruction model datasets from the cloud.
Data visualization libraries Plotly.js is an open-source JavaScript library for creating graphs and powers Plotly.py for Python, as well as Plotly.R for R, MATLAB, Node.js, Julia, and Arduino and a REST API.
LuciadLightspeed consists of over 100 different software components and connectors to fuse, visualize and analyze geospatial data. This can include static and moving data, maps, satellite imagery, crowd-sourced data, full motion video, weather data and terrain elevation in many different geodetic references and map projections.
3D and volume visualization, Curve and peak fitting, Signal processing, Image processing ILNumerics: Math library for .NET / C#: GPL / proprietary: No 2006: June 11, 2015 / v4.8: Windows and Linux: Math library with rich visualization features (interactive 3D scenes, scientific plotting) and MATLAB-like syntax. Ipe: GUI, XML: GPL: Yes 1993 ...
graph-tool is a Python module for manipulation and statistical analysis of graphs (AKA networks).The core data structures and algorithms of graph-tool are implemented in C++, making extensive use of metaprogramming, based heavily on the Boost Graph Library. [1]
ParaView is an open-source multiple-platform application for interactive, scientific visualization.It has a client–server architecture to facilitate remote visualization of datasets, and generates level of detail (LOD) models to maintain interactive frame rates for large datasets.