Download JAR files tagged by pipelines with all dependencies

This utility provides the capability for creating pipelines that pass messages between Cores in a PureMVC Java MultiCore-based application. Pipelines can contain filters, queues, splitting and merging tees, and more.

AI pipeline module include pipelines connecting the OAP kernel and any 3rd party AI and/or algorithm server. The kernel would call the pipeline in the specific context/scenario with well formatted telemetry data, and expect the remote to respond with the result of the AI/algorithm as quick as possible, but in async way in case of large size of data or lower performance behavior of the remote.

The workflow management component of a Catalog and Archive Service. This component purposefully separates workflow repositories and workflow engines standard interfaces, and provides some out of the box backend implementations of them (including one based on the javax.sql.DataSource interface). This component provides everything that you need to execute workflows, and science processing pipelines.

A GATE plugin that provides a way to create modular nested pipelines where each subpipeline can get developed, tested and saved separately. Also allows to override runtime parameters, init time parameters and document features from a config file or by setting java properties.

This Lutra submodule provides a common framework that other submodules in Lutra use and extend. It includes an implementation of OTTR's data model with classes for templates, instances, types, etc.; a system for handling results and error messages; core interfaces and abstract classes for streamed pipelines for parsing and writing templates and instances; as well as implementation of the TemplateStore, a container for templates, with algorithms for checking correctness of templates and expanding and checking correctness of instances. Lutra is the reference implementation of the OTTR framework. For more information about OTTR, see http://ottr.xyz.

Maltcms, short for "Modular Application Toolkit for Chromatography Mass-Spectrometry" is an application framework mainly suited for developers working in the domain of bioinformatics for metabolomics and proteomics. Its aim is to provide reusable, efficient datastructures, abstracting from the various low-level data-formats like netcdf (ANDIMS), mzXML, mzData and mzML and providing consistent access to data features like mass spectra, chromatograms and metadata. Furthermore, Maltcms provides a platform for the implementation and execution of processing pipelines. New and existing algorithms can be easily implemented or included and executed together with existing processing elements.

Azure Video Analyzer provides a platform to build intelligent video applications that span the edge and the cloud. The platform offers the capability to capture, record, and analyze live videos along with publishing the results, video, and video analytics, to Azure services in the cloud or the edge. It is designed to be an extensible platform, enabling you to connect different video analysis edge modules such as Cognitive services containers, custom edge modules built by you with open-source machine learning models or custom models trained with your own data. You can then use them to analyze live video without worrying about the complexity of building and running a live video pipeline. Use the client library for Video Analyzer Edge to simplify interactions with the Microsoft Azure IoT SDKs (https://github.com/azure/azure-iot-sdks) and programmatically construct pipeline topologies and live pipelines.