We are happy to announce support for mutable tags in Metaflow! Learn five key patterns for effective human-in-the-loop workflows which leverage the new feature.
Discover the power of DAGs to level up your data science projects with examples from feature transforms to workflow orchestration.
A knowledge base of free, practical data science and machine learning materials, including how to set up a modern data science infrastructure.
A discussion about the machine learning deployment stack and why data makes software different.
Data scientists can now scale out their machine learning workflows to Kubernetes clusters using Metaflow and Argo, without needing to know the ins and outs of K8S.
How to get started today with ML in production: tools, workflows, and mental models.
A fireside chat about product management for ML products across various industries.
Hugo Bowne-Anderson discussed his journey to becoming Head of Developer Relations at Outerbounds.
With Metaflow, data scientists can leverage K8s clusters for their work. Metaflow presents a user-friendly UX to data scientists, while working nicely with production infrastructure.
Learn how to use notebooks in production ML pipelines with a new Metaflow feature. This is model framework-agnostic and so will work with all types of ML models.
Developed internally at Netflix and open-sourced in 2019, Metaflow is now used to power machine learning in production by hundreds of companies.
Introducing DAG cards for machine learning pipelines. These cards make it easy to attach custom visual reports in every workflow, without having to install any additional tooling.
A discussion about the machine learning deployment stack and why data makes software different.
Build a simple production-ready MLOps pipeline using Metaflow, an OSS framework allowing data scientists to build production-ready machine learning workflows using a simple Python API, and Seldon.
