Software Development & Delivery · Public

metaflow

Build, Manage and Deploy AI/ML Systems

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doskill, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot10k stars

1.3k forks · 143 contributors

Doramagic.ai Last verification date: 2026-06-19 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-06-19

What is metaflow?

Build, Manage and Deploy AI/ML Systems
Best fit: Users who want source-backed project understanding before installing it.
Not for: Not for users who want to skip sandbox verification or cannot accept configuration, permission, or maintenance overhead.
Capability added to an AI workflow: skill, recipe, host_instruction, eval, preflight
First safe verification step: Verify the smallest path in an isolated environment and keep a rollback path.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/Netflix/metaflow, https://github.com/Netflix/metaflow#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

Build, Manage and Deploy AI/ML Systems

RepositoryNetflix/metaflow

10k stars · 1.3k forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Framework Overview and Core Concepts

Related topics: Datastore, Metadata, and Storage Backends, Production Orchestration, Schedulers, and Cloud Execution, Secrets, Cards, Extensions, and Ecosystem Integrations

Source: https://github.com/Netflix/metaflow / Human Manual

Datastore, Metadata, and Storage Backends

Related topics: Framework Overview and Core Concepts, Production Orchestration, Schedulers, and Cloud Execution

Source: https://github.com/Netflix/metaflow / Human Manual

Production Orchestration, Schedulers, and Cloud Execution

Related topics: Framework Overview and Core Concepts, Datastore, Metadata, and Storage Backends, Secrets, Cards, Extensions, and Ecosystem Integrations

Source: https://github.com/Netflix/metaflow / Human Manual

Secrets, Cards, Extensions, and Ecosystem Integrations

Related topics: Framework Overview and Core Concepts, Production Orchestration, Schedulers, and Cloud Execution

Source: https://github.com/Netflix/metaflow / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/Netflix/metaflow, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars10k stars

Forks1.3k forks

Contributors143 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using metaflow with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Bug: No way to pass custom credentials/session vars to AWS Secrets Manag
github / github_issue
02
StepMutator bug in attaching decorators affecting 2.19.33
github / github_issue
03
2.19.34
github / github_release
04
2.19.33
github / github_release
05
2.19.32
github / github_release
06
2.19.31
github / github_release
07
2.19.30
github / github_release
08
2.19.29
github / github_release
09
2.19.28
github / github_release
10
2.19.27
github / github_release
11
2.19.26
github / github_release
12
2.19.25
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install metaflow

Official start command · https://github.com/Netflix/metaflow#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

metaflow Manual

Build, Manage and Deploy AI/ML Systems

Open the full manual

https://github.com/Netflix/metaflow Project Manual
Table of Contents
Framework Overview and Core Concepts
Related Pages
Purpose and Scope
Core Architecture
Cards UI and Visualization
Extensibility, Deployment, and Community

Framework Overview and Core Concepts

Related topics: Datastore, Metadata, and Storage Backends, Production Orchestration, Schedulers, and Cloud Execution, Secrets, Cards, Extensions, and Ecosystem Integrations

Source: https://github.com/Netflix/metaflow / Human Manual

Datastore, Metadata, and Storage Backends

Related topics: Framework Overview and Core Concepts, Production Orchestration, Schedulers, and Cloud Execution

Source: https://github.com/Netflix/metaflow / Human Manual

Production Orchestration, Schedulers, and Cloud Execution

Related topics: Framework Overview and Core Concepts, Datastore, Metadata, and Storage Backends, Secrets, Cards, Extensions, and Ecosystem Integrations

Source: https://github.com/Netflix/metaflow / Human Manual

Secrets, Cards, Extensions, and Ecosystem Integrations

Related topics: Framework Overview and Core Concepts, Production Orchestration, Schedulers, and Cloud Execution

Source: https://github.com/Netflix/metaflow / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.