Projects

GraphViz

Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. Automatic graph drawing has many important applications in software engineering, database and web design, networking, and in visual interfaces for many other domains. Graphviz is open ... [More] source graph visualization software. It has several main graph layout programs. See the gallery for some sample layouts. It also has web and interactive graphical interfaces, and auxiliary tools, libraries, and language bindings. [Less]

matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shells (similar to matlab or mathematica), web application servers, and six graphical user interface toolkits

pChart

pChart is a PHP class oriented framework designed to create aliased charts. Data can be retrieved from SQL queries, CSV files, or manually provided.

Maven Dependency Overview

Maven plugin that creates a diagram of all dependencies The entire transitive closure. Work as part of Maven report as well as standalone.

JpGraph

JpGraph is a Object-Oriented Graph creating library for PHP >= 4.3.1 The library is completely written in PHP and ready to be used in any PHP scripts (both CGI/APXS/CLI versions of PHP are supported). The library can be used to create numerous types of graphs either on-line or written to a ... [More] file. JpGraph makes it easy to draw both "quick and dirty" graphs with a minimum of code as well as complex graphs which requires a very fine grained control. The library assigns context sensitive default values for most of the parameters which minimizes the learning curve. The features are there when you need them - not as an obstacle to overcome! JpGraph is released under a dual license. QPL 1.0 (Qt Free Licensee) For non-commercial, open-source or educational use. [Less]

pycallgraph

pycallgraph is a Python library that creates call graphs for Python programs.

phpCallGraph

phpCallGraph is a tool to generate static call graphs for PHP source code. Such a graph visualizes the call dependencies among methods or functions of an application. Arrows represent calls from one method to another method. Classes are drawn as rectangles containing the respective methods. The ... [More] graphs can be leveraged to gain a better understanding of large PHP applications or even to debunk design flaws in them. The core of the call graph generator forms an object-oriented PHP5 library, which may also be integrated in other projects. It leverages the InstantSVC CodeAnalyzer and DOT. On top of it, a commandline application allows easy creation of call graphs in various formats, e.g. text, png, jpg or svg. phpCallGraph is free software licensed under GPLv3. [Less]

pygooglechart

A complete Python wrapper for the Google Chart API.

GRAL

GRAL is a Java library for creating high quality plots and charts. Many plot types are available like scatter plots, bubble plots, line plots, time series, area plots, pie charts, and bar charts. Nearly every aspect of a plot's appearance can be adjusted using a settings system. Additionally ... [More] , GRAL can interchange and process data in various ways: filters can be used to smooth, derive, or rescale data. Several plug-ins allow the import and export of data and graphics to formats like CSV, JPEG, PNG, EPS, PDF, or SVG. Once a plot is set up it can be integrated into any application. Using the included system of Swing classes the user can interactively pan and zoom a plot. [Less]

Timeplotters

Timeplotters are command-line tools for visualizing temporal data, especially useful for visualizing data from ad-hoc program logs to help you spot patterns and anomalies that you would not spot otherwise (by just watching how the program works, or by looking at the logs with the naked eye). ... [More] Visualization can provide huge insight into the program behavior, help you find complex bottlenecks and give you a lot of “aha!” moments. It’s also fun. The tools have been specifically designed for working with program logs: the input format is tailored to event types typically seen in program logs and the visualization methods are tailored to the questions typically asked about program performance (e.g. distribution of activity durations). [Less]