IndIKer

IndIKer is a modular, open-source framework designed to create, manage, and deploy indicators—metrics, signals, and alerts—across data pipelines and applications. It provides a core runtime, a library of indicator templates, and adapters to connect to common data sources and destinations. The project emphasizes portability, testability, and interoperability with popular data science tools.

IndIKer originated from a 2021 initiative to standardize indicator development across analytics stacks. The first public release appeared in 2022 under an open-source license, and ongoing development is led by a core team with community contributions.

Key features include a declarative indicator Domain-Specific Language (DSL) for defining indicators, a plugin architecture for data sources and sinks, cross-language support enabling usage from Python and JavaScript, a built-in testing harness, and visualization components for dashboards and notebooks. The framework supports both batch and streaming data and integrates with common workflow engines.

Typical use cases span financial analytics, industrial monitoring, and healthcare data analytics, where reliable indicators and alerting are critical. The ecosystem includes a growing set of community modules, tutorials, and example indicators; governance is maintained via a public repository, issue tracking, and contribution guidelines.

IndIKer continues to evolve with contributions from researchers and practitioners.