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Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

A unified framework for machine learning with time series

A python library for user-friendly forecasting and anomaly detection on time series.

Anomaly Detection and Correlation library

ML powered analytics engine for outlier detection and root cause analysis.

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

The security agent that fights back. Watches your Linux server from inside, detects threats with kernel-level eBPF, and stops them with on-device AI. Open-source, self-hosted, dry-run by default. Apache-2.0.

Global maritime intelligence platform for real-time vessel tracking, AIS data analysis, sanctions monitoring, shipping routes, port activity, anomaly detection, OSINT analytics, and geospatial insights

Python SDK for WaveGuard physics-based anomaly detection API. One call. Any data.

Multi-cloud cost management MCP server (Azure + GCP). Read-only access to spending, anomalies, forecasts, budgets, and guided FinOps workflows. Ask your AI about your cloud bill.