Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
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Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A network event stream processing system, in Clojure.
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
OpenMessaging Specification
Production-grade Server-Sent Events (SSE) for Fiber v3. Event coalescing, priority lanes, topic wildcards, adaptive throttling, built-in auth, Prometheus metrics, graceful drain.
Spark plugin to retrieve metrics from a variety of cluster resources