Apache StreamPipes helps teams connect industrial data sources, build real-time streaming pipelines, explore time-series data, and deliver live operational insights without requiring many different systems or custom code for every use case.
Apache StreamPipes is an end-to-end industrial IoT data platform that combines a graphical user interface for domain experts with an extensible framework for developers. It enables teams to connect industrial data sources, process real-time data streams, store historical data, and build data-driven applications on top of industrial equipment.
StreamPipes provides an opinionated architecture for managing industrial IoT data. Most users rely on StreamPipes to make data from machines, production systems, and other industrial assets available to analytics, monitoring, and application layers.
A standard StreamPipes installation includes everything needed to get started: a messaging system for real-time data exchange, with NATS as the default and support for additional protocols, as well as a time-series database for storing historical data. StreamPipes also includes a wide range of connectors tailored to industrial IoT requirements. For example, it provides extensive OPC UA support, including a web-based node browser and support for OPC UA events.
StreamPipes is fully open source, governed by the Apache Software Foundation, and includes enterprise-grade capabilities such as user and role management, OAuth 2.0 integration, and support for geographically distributed deployments that simplify communication between OT and IT networks.
As a ready-to-use platform, StreamPipes enables users to implement industrial IoT use cases on top of a reliable data foundation. Developers can extend the platform through REST APIs, client libraries for various programming languages, and an SDK for building custom connectors, processors, sinks, and application logic.
The repository already contains a few visuals. The gallery below uses them directly and reserves explicit slots for additional screenshots so the README can evolve without another structural rewrite.
| Feature | Preview |
|---|---|
| Connect data sources with a guided setup flow |  |
| Build stream analytics pipelines visually |  |
| Create beautiful charts and dashboards |  |
| Asset-centric organization and navigation |  |
| Administration, users, and platform operations |  |
- Connect industrial and messaging systems such as OPC UA, PLCs, MQTT, REST, Pulsar, Kafka, and more.
- Build harmonization and analytics pipelines with a library of ready-to-use adapters, processors, and sinks.
- Explore historical data visually with charts tailored to time-series use cases.
- Create live dashboards for real-time monitoring on the shop floor or in operations centers.
- Organize pipelines, streams, and dashboards around assets and operational structures.
- Extend the platform with custom adapters, processors, and sinks through the Java SDK.
- Run pipeline elements as standalone microservices in central or edge deployments.
- Integrate existing processing logic and ML models into reusable pipeline elements.
- Use our Python, Go or Java client to interact with StreamPipes from your own applications.
The fastest way to get a full installation with extensions is to use one of the Docker-based installers:
- StreamPipes Compose for container-based deployment
- StreamPipes CLI for developers who want to extend StreamPipes
- StreamPipes k8s for cluster-based operation
For most first-time users, installer/compose is the right starting point.
cd installer/compose
docker-compose up -dAfter the services are up, open http://localhost to complete the setup in the browser.
Prerequisites:
- Java 25 JDK
- Maven 3.8+
- Node.js and npm for the UI build
- Docker and Docker Compose
Backend build:
mvn clean packageUI build:
cd ui
npm install
npm run buildFrom the repository root, you can start the full stack with:
docker-compose up --build -dThis will start a development stack with no volumes! Choose the installation options from the installer page for production setups.
For backend changes, prefer targeted module validation first, for example:
mvn -pl <module> -am testThe main documentation lives at streampipes.apache.org/docs.
This repository contains the StreamPipes platform, SDKs, extensions, installers, and UI in a single monorepo. A few important entry points:
streampipes-service-corefor bootstrapping, security, migrations, and schedulingstreampipes-restfor HTTP and resource APIsstreampipes-extensionsfor bundled adapters and pipeline elementsstreampipes-sdkfor extension developmentuifor the web applicationinstallerfor Compose, CLI, and Kubernetes deployment options
StreamPipes is designed to be extended. Custom processors, sinks, and data sources can be packaged as pipeline elements and deployed independently of the core platform.
- Use the Java SDK to wrap existing processing logic.
- Package new functionality as containerized microservices.
- Deploy extensions centrally or near the edge, depending on latency and infrastructure constraints.
The bundled extension code lives in streampipes-extensions.
Or simply use Github Discussions.
To subscribe directly to a mailing list:
Contributions are welcome across core services, UI, extensions, installers, and documentation.
- Review CONTRIBUTING.md
- Check the Get Involved page
- Browse open issues
- Start with a good first issue
- Visit the developer wiki