Search Results for "graphing"

Create interactive charts in your web browser with MATLAB® and Plotly.

plotly.py is a browser-based, open source graphing library for Python that lets you create beautiful, interactive, publication-quality graphs. Built on top of plotly.js, it is a high-level, declarative charting library that ships with more than 30 chart types. Everything from statistical charts and scientific charts, through to maps, 3D graphs and animations, plotly.py lets you create them all.

...Both approaches have somewhat complementary strengths and weaknesses, so it can pay off to learn both approaches. Moreover, both approaches are an implementation of the Grammar of Graphics and both are powered by the JavaScript graphing library plotly.js, so many of the same concepts and tools that you learn for one interface can be reused in the other. Any graph made with the plotly R package is powered by the JavaScript library plotly.js. The plot_ly() function provides a ‘direct’ interface to plotly.js with some additional abstractions to help reduce typing.

Plotly JavaScript Open Source Graphing Library. Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps. plotly.js is free and open source and you can view the source, report issues or contribute on GitHub. For plotly.js to build with Webpack you will need to install ify-loader@v1.1.0+ and add it to your webpack.config.json.

Linode Longview is a system-level statistics collection and graphing service powered by an open-source agent that can be installed on any Linux system. It collects system statistics and sends them to Linode, where the data is stored and presented in meaningful ways.

This is a Python package with extensions for Tkinter. It supports both Python 2.7 and Python 3.3. Currently, the project is in version 1.0 of the Production stage. Feel free to fork off the main project or send me possible additions to the package.

With the advanced graphing functionality you will be quickly adding impressive and dynamic charting capabilities. The graphing software is completely self contained within a single file making this an ideal solution for the incorporation of graphs and charts into web / intranet pages and applications. Versatile components provide the ability for web authors and developers to easily build and publish dynamic and interactive graphs and charts.

qwtdotnet is a port of the popular qwt graphing toolkit to the .NET platform, relying on qt4dotnet.