All organizations · GSoC 2026 · Infrastructure and cloud, Artificial Intelligence
Metaflow
A human centric machine learning framework
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.
- python
- javascript
- kubernetes
- machine learning
- data science
- ML Ops
- Orchestrator
Project ideas
Its ideas page could not be split into separate ideas; read it yourself.
Read the ideas page. Ideas are for scope reference; never copy one into a proposal.
History
In GSoC since 2026, 1 year. Projects per year: '26: 2.
On GitHub
73 repositories pushed to in the last year. Main languages: Java (33), Python (12), JavaScript (6), C (4), Kotlin (4), C++ (2).
Links and channels
- Website: https://metaflow.org/
- Ideas page: https://github.com/Netflix/metaflow/blob/master/GSOC_2026_PROPOSALS.md
- Contributor guide: https://github.com/Netflix/metaflow/blob/master/GSOC_CONTRIBUTOR_GUIDANCE.md
- Source code: https://github.com/Netflix/metaflow
- Email: help@metaflow.org
- Mailing list: http://chat.metaflow.org/
git-into-gsoc org "Metaflow" --shortlist
git-into-gsoc repos "Metaflow"
git-into-gsoc issues --org "Metaflow"or ask your assistant: "Which Metaflow repositories merge newcomers' pull requests, and which beginner issues are still free?"
Those commands read live data: which repositories merge outside pull requests, and which beginner issues nobody has claimed. Install in two minutes.