MLOps & ML Platforms

MLflow, as part of Databricks Lakehouse Platform, is an open-source platform to manage the machine learning lifecycle, including experimentation, reproducibility, and deployment.

Modal provides a serverless platform for cloud compute, enabling users to run ML models, scripts, and applications in the cloud without managing infrastructure.

Seldon provides open-source and enterprise solutions for deploying, monitoring, and managing machine learning models at scale.

Neptune.ai provides a metadata store for machine learning teams to track, compare, and manage their experiments and models.

Valerann provides an AI-powered platform for real-time road traffic monitoring and predictive insights, utilizing advanced ML.

Label Studio is an open-source data labeling tool for machine learning, providing a UI for annotating various data types.

Evidently AI is an open-source framework and Python library for ML data and model monitoring, offering data drift, data quality, and model performance reports.