Data pipelines for data scientists (new open-source notebook)

In plain words

Data pipelines for data scientists is an open-source notebook tool launched in 2022 for building and managing data workflows. It is designed for data scientists who need to create, test, and deploy data pipelines without extensive engineering overhead. The tool provides an interactive notebook environment specifically optimized for data pipeline development, allowing users to write and execute code while organizing workflows into reusable, production-ready components.

written from the facts on this page · September 2026

From the sources

Describe the outcome. Mage builds the data workflow, keeps it running, and turns every execution into trusted context for analytics, automation, and agents. Unify . Replace fragmented tools, one-off scripts, and handoffs with one execution layer from source to action. Build . Go from intent to production faster with AI-generated workflows and reusable business logic. Repair . Keep critical runs reliable with monitoring, replay, and automatic recovery. Standardize . Make messy data and legacy logic clean, validated, and reusable across workflows. Deliver . Put trusted data to work across dashboards, products, automations, APIs, and agents. Govern . Control operational risk with visibility,…from mage.ai

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