Developer Open-Sources Multi-Cloud FinOps Engine to Tackle Surprise Cloud Bills
A developer frustrated with unpredictable cloud billing has released an open-source FinOps engine built with Python and FastAPI. The self-hosted tool connects to AWS, GCP, and Azure, normalizing billing data into the FOCUS 1.0 standard to provide a unified cost view across providers. It uses local machine learning, specifically Scikit-Learn's Isolation Forest model, to detect cost anomalies without sending sensitive billing data to third-party services. To handle large billing datasets efficiently, the engine streams data progressively via FastAPI's StreamingResponse and offloads heavy ML and cloud SDK tasks to ThreadPools. The project aims to give engineering teams a single API endpoint for multi-cloud cost visibility while keeping all billing telemetry within their own infrastructure.
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