Metaflow
Metaflow is a Python API framework developed to move AI, machine learning and data science projects from prototype stage to production. The code combines data and processing power at each stage to provide end-to-end management. It allows horizontal and vertical scaling using CPU and GPU sources in the cloud environment.
Metaflow
95Netflix · MLOps & AI Infrastructure
Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks
- Using Python API, you develop rapid prototypes in the local environment.
- In cloud infrastructure, you scale computing using CPU and GPU resources.
- By managing dependencies, you distribute workflows to orchestrators in the production environment.
- • High number of open issues (531)
- • NeutralHacker News
Metaflow, Netflix's Python framework for data science, is now open source
“Good question! A typical Metaflow workflow at Netflix starts by reading data from our data warehouse, either by executing a (Spark)SQL query or by fetching Parquet files directly from S3 using the built-in S3 client. We have some additional Python tooling to make this easy (see…”
- • NeutralHacker News
Metaflow, Netflix's Python framework for data science, is now open source
“Orchestrating a workflow, which is what Dagster does, is just one part of Metaflow. Other important parts are dependency management, cloud integration, state transfer, inspecting and organizing results - features that are central to data science workflows. Metaflow helps data…”