Search results
Results from the WOW.Com Content Network
Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, JavaScript [1] and REST.
MayaVi is a scientific data visualizer written in Python, which uses VTK and provides a GUI via Tkinter. MayaVi was developed by Prabhu Ramachandran, is free and distributed under the BSD License. It is cross-platform and runs on any platform where both Python and VTK are available (almost any Unix, Mac OS X, or Windows).
VisTrails is a scientific workflow management system developed at the Scientific Computing and Imaging Institute at the University of Utah that provides support for data exploration and visualization. It is written in Python and employs Qt via PyQt bindings. The system is open source, released under the GPL v2 license.
Visualization is an essential element of any Big Data and analytics strategy. The most up-to-date, real time information and advanced analytics soluti The 7 Best Data Visualization Tools For 2018
Under the hood, ParaView uses Visualization Toolkit (VTK) as the data processing and rendering engine and has a user interface written using Qt. The goals of the ParaView team include the following: Develop an open-source, multi-platform visualization application. Support distributed computation models to process large data sets.
Vega is used in the back end of several data visualization systems, for example Voyager. [4] [5] Chart specifications are written in JSON and rendered in a browser or exported to either vector or bitmap images. Bindings for Vega-Lite have been written in several programming languages, such as the Python package Altair, [6] to make
Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License.It was developed at the University of Waikato, New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".
Tulip allows the reuse of components; this makes the framework efficient for research prototyping as well as the development of end-user applications. It has a binding for Python. [1] Tulip is easy to use and offers very appealing visualization. [2] Initially, Tulip targeted only graph visualization. Since then, it has evolved to be a more ...