avger

Avger is a modular software framework for building real-time data visualization dashboards and analytics pipelines. It provides a component-based runtime, a plugin system, and a set of data adapters that enable connectors to a wide range of sources. The project emphasizes low-latency rendering, extensibility, and cross-language interoperability, allowing dashboards to scale from local experiments to cloud deployments and collaborative environments.

Origin and naming: The term avger was coined by the project founders to evoke aggregation across streams and the goal of turning raw input into actionable summaries. It is used as a proper noun within the project, without standing for a fixed phrase.

Architecture and components: The core runtime is written in Rust, with bindings for JavaScript and Python. Avger uses a plugin architecture that includes widgets, data adapters, and rendering backends. Data flows are defined with a reactive model, supporting time-series, event streams, and derived metrics. Rendering backends include WebGL for high-performance visuals and SVG for accessibility.

Usage and deployment: Avger is used in research, industry analytics, and education to build dashboards that reflect streaming data. Typical deployments combine a lightweight client library with a server component or a fully self-contained bundle. The ecosystem offers a marketplace of community-made widgets and data adapters.

History and reception: The project began in 2020 and released its first stable version in 2021. It has since seen several major updates, with an active community contributing plugins and documentation. See also: data visualization libraries, reactive programming, stream processing.