
Metaflow
Metaflow is a human-friendly Python library that makes it straightforward to develop, deploy, and operate various kinds of data-intensive applications, in particular those involving data science, ML, and AI. Metaflow was originally developed at Netflix to boost the productivity of data scientists who work on a wide variety of projects, from classical statistics to state-of-the-art deep learning. Metaflow provides a unified API across the entire infrastructure stack required to execute data science projects from prototype to production.
GSoC Participation History
Technologies
Topics
Past Projects
Agent-Friendly Client + Metadata Service Foundation
Metaflow's metadata service returns unbounded JSON for every list endpoint. A single GET /runs on a production deployment returns megabytes of data...
Non-Breaking Pagination & Tag Filtering for Metaflow Metadata Service
metadata_service returns raw arrays with no pagination or filtering. ui_backend_service in the same repository already supports both via an envelope...
Frequently Asked Questions
Metaflow | GSoC Org Profile & Stats - Learn about Metaflow's involvement in Google Summer of Code (GSoC), their technologies, detailed reports.
Participation
Projects
Top Programming Languages
Project Difficulty Distribution
No difficulty data available