obsidia

Obsidia is a proprietary software framework developed for high-performance data visualization and real-time analytics. It was first released in 2014 by the open source community of VisualData Systems. The core purpose of Obsidia is to provide a flexible, modular environment that supports the integration of diverse data streams, including time series, geospatial, and log data, into interactive dashboards. The engine is built on the Python programming language and leverages the D3.js library for front‑end rendering, enabling seamless deployment across web browsers and mobile devices.

The architecture of Obsidia comprises several key components. The ingestion layer can connect to popular message queues such as Kafka, RabbitMQ, and MQTT, while the processing layer offers a rule‑based engine that applies transformations, aggregations, and anomaly detection in real time. Finally, the visualization layer exposes a RESTful API that allows developers to create reusable widgets through a low‑code interface or to embed custom components using standard web technologies.

Obsidia is distributed under the MIT license and has a growing ecosystem of community extensions. Notably, the Obsidia‑Graph plugin adds support for graph‑based analytics, while the Obsidia‑ML add‑on integrates machine‑learning models built in scikit‑learn or TensorFlow. According to usage statistics reported by the maintainers, more than 12,000 developers use Obsidia for monitoring infrastructure, energy consumption, and business performance metrics as of 2025.

In addition to its commercial appeal, Obsidia has been cited in several academic publications on the subjects of distributed data streams and data‑driven decision making. The project’s roadmap focuses on improving scalability, adding native support for WebAssembly, and expanding native connectors for industrial control systems.