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..., and OpenCV. These tools enable powerful and highly-scalable predictive and analytical models for a variety of data sources. SynapseML also brings new networking capabilities to the Spark Ecosystem. With the HTTP on Spark project, users can embed any web service into their SparkML models. For production-grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster.

... events (via Triggers) from external sources (Feeds) or from HTTP requests. The project includes a REST API-based Command Line Interface (CLI) along with other tooling to support packaging, catalog services and many popular container deployment options. Since Apache OpenWhisk builds its components using containers it easily supports many deployment options both locally and within Cloud infrastructures.

Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab.