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The Unified Apache Beam Model. The easiest way to do batch and streaming data processing. Write once, run anywhere data processing for mission-critical production workloads.
Apache Beam is a unified programming model for Batch and Streaming data processing.
Apache Beam is a unified model for defining both batch and streaming data-parallel processing pipelines, as well as a set of language-specific SDKs for constructing pipelines and Runners for executing them on distributed processing backends, including Apache Flink, Apache Spark, Google Cloud Dataflow, and Hazelcast Jet.
Unified stream and batch data processing that's serverless, fast, and cost-effective.
Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing.
Fast HTTP microservice written in Go for high-level image processing backed by bimg and libvips. imaginary can be used as private or public HTTP service for massive image processing with first-class support for Docker & Fly.io. It's almost dependency-free and only uses net/http native package without additional abstractions for better performance.
Pure Java cross-platform image processing framework that provides features for image and video frame processing, multi-threading image processing, GUI integration, extensibility via plug-ins, unit text automation among other things.