Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- apache-airflow
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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
☁️ Build multimodal AI applications with cloud-native stack
Turns Data and AI algorithms into production-ready web applications in no time.
An orchestration platform for the development, production, and observation of data assets.
Always know what to expect from your data.
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
The Open Source Feature Store for AI/ML
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Open, audit-grade agentic data quality framework with portable industry packs