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MLflow

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About

MLflow is an open source developer platform designed to build production-ready AI applications and models with confidence. It enhances GenAI applications with end-to-end tracking, observability, and evaluations in one integrated platform. For traditional machine learning, it streamlines workflows with end-to-end tracking, model management, and deployment. MLflow integrates with over 25 popular AI/ML apps and frameworks, including PyTorch, OpenAI, HuggingFace, LangChain, TensorFlow, and scikit-learn. Users can choose between a self-hosted open-source version under an Apache-2.0 license, offering full infrastructure control and community support, or a free, fully managed hosting option built and maintained by the original creators of MLflow, ensuring full OSS compatibility without setup hassle.

Platform

Task

ai model development

Features

• community support

• self-hosted option available

• free and fully managed hosting option

• open source with apache-2.0 license

• integrates with 25+ ai/ml apps and frameworks (e.g., pytorch, openai, huggingface, langchain)

• model management and deployment

• streamline machine learning workflows

• end-to-end tracking, observability, and evaluations for genai apps

Pricing Plans

Self-hosted Open Source

• Apache-2.0 license

• Full control over your own infrastructure

• Community support

Managed hosting

• Free and fully managed

• Experience MLflow without the setup hassle

• Built and maintained by original creators of MLflow

• Full OSS compatibility

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