Data and AI Pipeline · Public

marvin

Data and AI pipeline project for checking inputs, outputs, state, latency, recovery, and deployment boundaries.

Data pipelineAI workflowState managementLatencyRecovery

Best fitDevelopers who need data streams, realtime processing, or AI pipelines inside a verifiable engineering workflow.

Check whether this project matches your task before installing it.

What it can doInput/output contracts, state checks, latency budgets, failure recovery, and acceptance checks

Review the portable capability path.

Before continuingVerify in a sandbox

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

GitHub snapshot6.2k stars

405 forks · 62 contributors

Doramagic.ai Last verification date: 2026-07-31 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-07-31

What is marvin?

marvin helps build, run, or validate data and AI pipelines.
Best fit: Developers who need data streams, realtime processing, or AI pipelines inside a verifiable engineering workflow.
Not for: Not for users without clear inputs/outputs, isolated data sources, or those who only need a one-off script.
Capability added to an AI workflow: Input/output contracts, state checks, latency budgets, failure recovery, and acceptance checks
First safe verification step: Verify inputs, outputs, state, and recovery with a small sample dataset first.
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/PrefectHQ/marvin, https://github.com/PrefectHQ/marvin#readme, Human Manual, Pitfall Log

Quick decision

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

Best forDevelopers who need data streams, realtime processing, or AI pipelines inside a verifiable engineering workflow.

Match the project to your task before installing it.

CapabilityInput/output contracts, state checks, latency budgets, failure recovery, and acceptance checks

Data and AI pipeline project for checking inputs, outputs, state, latency, recovery, and deployment boundaries.

RepositoryPrefectHQ/marvin

6.2k stars · 405 forks

What it can do

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

Marvin Overview and Architecture

Related topics: Core Abstractions: Tasks, Agents, and Threads

Source: https://github.com/PrefectHQ/marvin / Human Manual

Core Abstractions: Tasks, Agents, and Threads

Related topics: Marvin Overview and Architecture, Structured-Output Functions and JSON Schema Utilities, Memory Providers, Tools, and MCP Integration

Source: https://github.com/PrefectHQ/marvin / Human Manual

Structured-Output Functions and JSON Schema Utilities

Related topics: Core Abstractions: Tasks, Agents, and Threads

Source: https://github.com/PrefectHQ/marvin / Human Manual

Memory Providers, Tools, and MCP Integration

Related topics: Core Abstractions: Tasks, Agents, and Threads

Source: https://github.com/PrefectHQ/marvin / 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/PrefectHQ/marvin, 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.

Stars6.2k stars

Forks405 forks

Contributors62 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

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

01
BinaryImage causes token explosion when passed to marvin.cast()
github / github_issue
02
fix: IndexError in is_classifier/as_classifier with bare typing.List
github / github_issue
03
BUG: IndexError in schema_to_type() when type list contains only "null"
github / github_issue
04
BUG: TypeError crash in create_array_type() when items is an empty list
github / github_issue
05
Feature request: OWASP ASI06 memory poisoning defense for Marvin AI func
github / github_issue
06
`from __future__ import annotations` causes ai functions to return strin
github / github_issue
07
v3.2.7
github / github_release
08
v3.2.6
github / github_release
09
v3.2.5
github / github_release
10
v3.2.4
github / github_release
11
known unknowns
github / github_release
12
failure is not an option
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 marvin

Official start command · https://github.com/PrefectHQ/marvin#readme · verified: yes

Human Manual

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

8+ sections · Human Manual

marvin Manual

an ambient intelligence library

Open the full manual

https://github.com/PrefectHQ/marvin Project Manual
Table of Contents
Marvin Overview and Architecture
Related Pages
Purpose and Scope
Core Abstractions
Tasks
Agents

Marvin Overview and Architecture

Related topics: Core Abstractions: Tasks, Agents, and Threads

Source: https://github.com/PrefectHQ/marvin / Human Manual

Core Abstractions: Tasks, Agents, and Threads

Related topics: Marvin Overview and Architecture, Structured-Output Functions and JSON Schema Utilities, Memory Providers, Tools, and MCP Integration

Source: https://github.com/PrefectHQ/marvin / Human Manual

Structured-Output Functions and JSON Schema Utilities

Related topics: Core Abstractions: Tasks, Agents, and Threads

Source: https://github.com/PrefectHQ/marvin / Human Manual

Memory Providers, Tools, and MCP Integration

Related topics: Core Abstractions: Tasks, Agents, and Threads

Source: https://github.com/PrefectHQ/marvin / 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.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

high

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Configuration risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Capability evidence risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Runtime risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.