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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.
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.
Kivy, open source Python library for developing multitouch application software with a natural user interface (NUI). PyGTK, a popular cross-platform GUI library based on GTK+; furthermore, other GNOME libraries also have bindings for Python; PyQt, another cross-platform GUI library based on Qt; as above, KDE libraries also have bindings
April 11, 2019 / 8.0.3: Mac, Windows: 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 ...
Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.
VPython is Open Source, and a part of the Python Library, combining the Python programming language with a 3D graphics module called Visual.. This library application allows users to create 3D objects, such as spheres and cones, and then display these objects in an app window.
VTK consists of a C++ class library and several interpreted interface layers including Tcl/Tk, Java, and Python.The toolkit is created and supported by the Kitware team. VTK supports a various visualization algorithms including: scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as: implicit modeling, polygon reduction, mesh smoothing, cutting ...
ParaView is fully scriptable using the simple but powerful Python language. ParaView's data engine, called server manager, is fully accessible through the Python interface. All changes made to the engine through Python are automatically reflected to the user interface. ParaView can be run as a batch application using the Python interface.