Download JAR files tagged by animations with all dependencies

Rive is a real-time interactive design and animation tool. Use our collaborative editor to create motion graphics that respond to different states and user inputs. Then load your animations into apps, games, and websites with our lightweight open-source runtimes.

The JGoodies Animation framework enables you to produce sophisticated time-based real-time animations in Java. It has been designed for a seemless, flexible and powerful integration with Java, ease-of-use and a small library size.

The JGoodies Animation framework enables you to produce sophisticated time-based real-time animations in Java. It has been designed for a seemless, flexible and powerful integration with Java, ease-of-use and a small library size.

SVG to vector converter. This tool converts an SVG graphic to a vector format. Currently supported targets are EMF, PDF and SVG. The tool does support SVG and SVGZ input formats. It also can deal with SVG layers. Input can be a file or a URL. Output can be a single file or a set of files, i.e. handling SVG layers individually. This means that the tool can be part of a tool chain for creating animations. Simply create an SVG image with several layers, one per step of an animation. Then use this tool to create an image per layer and use them in the target publication platform.

The Transform SWF framework is a collection of classes for each of the tags and data structures that make up the Flash (SWF) File Format Specification from Macromedia. The classes provide a completely object-based API for parsing, manipulating and generating Flash files. This allows Java based applications to dynamically generate and update files that represent animations and documents which can be easily distributed and displayed on any platform that supports a graphical web browser.

OpenIMAJ (Open Intelligent Multimedia in Java) is a collection of libraries and tools for multimedia analysis written in the Java programming language. OpenIMAJ intends to be the first truly complete multimedia analysis library and contains modules for analysing images, videos, text, audio and even webpages. The OpenIMAJ image and video analysis and feature extraction modules contain methods for processing visual content and extracting state-of-the-art features, including SIFT. The OpenIMAJ clustering and nearest-neighbour libraries contain efficient, multi-threaded implementations of clustering algorithms including Hierarchical K-Means and Approximate K-Means. The clustering library makes it possible to easily create visual-bag-of-words representations for images and video with very large vocabularies. The text-analysis modules contain implementations of a statistical language classifier and low-level processing pipeline. A number of modules deal with content creation, including interactive slideshows and animations. The hardware integration modules allow cross-platform integration with devices including webcams, the Microsoft Kinect, and even devices such as GPS's. OpenIMAJ also incorporates a number of tools to enable extremely-large-scale multimedia analysis using a distributed computing approach based on Apache Hadoop.