Data Analysis & Investment Research · Public

hamilton

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

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

Check whether this project matches your task before installing it.

What it can doPortable AI capability asset

Review the portable capability path.

Before continuingVerify in a sandbox

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

GitHub snapshot2.5k stars

198 forks · 100 contributors

Doramagic.ai Last verification date: 2026-06-24 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-06-24

What is hamilton?

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
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: Portable AI capability asset
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/apache/hamilton, https://github.com/apache/hamilton#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.

CapabilityPortable AI capability asset

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Repositoryapache/hamilton

2.5k stars · 198 forks

What it can do

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

Core Architecture: Driver, Nodes & DAGs

Related topics: Function Modifiers, Lifecycle Hooks & Plugins, Graph Adapters, Execution & Caching

Source: https://github.com/apache/hamilton / Human Manual

Function Modifiers, Lifecycle Hooks & Plugins

Related topics: Core Architecture: Driver, Nodes & DAGs, Graph Adapters, Execution & Caching, Hamilton UI, SDK & Data Tracking

Source: https://github.com/apache/hamilton / Human Manual

Graph Adapters, Execution & Caching

Related topics: Core Architecture: Driver, Nodes & DAGs, Function Modifiers, Lifecycle Hooks & Plugins

Source: https://github.com/apache/hamilton / Human Manual

Hamilton UI, SDK & Data Tracking

Related topics: Function Modifiers, Lifecycle Hooks & Plugins, Graph Adapters, Execution & Caching

Source: https://github.com/apache/hamilton / 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/apache/hamilton, 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.

Stars2.5k stars

Forks198 forks

Contributors100 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

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

01
Hamilton local ui fails with ImportError
github / github_issue
02
Improving documentation structure
github / github_issue
03
Combined `extract` decorator
github / github_issue
04
apache-hamilton-v1.90.0-incubating
github / github_release
05
v1.89.0-incubating apache-hamilton release
github / github_release
06
v1.89.0-incubating-RC1
github / github_release
07
sf-hamilton-1.88.0
github / github_release
08
sf-hamilton-1.87.0
github / github_release
09
sf-hamilton-1.86.1
github / github_release
10
sf-hamilton-1.85.1
github / github_release
11
sf-hamilton-1.85.0
github / github_release
12
sf-hamilton-1.84.0
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 apache-hamilton

Official start command · https://github.com/apache/hamilton#readme · verified: yes

Human Manual

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

8+ sections · Human Manual

hamilton Manual

Apache Hamilton is a function-centric declarative framework for describing dataflows as directed acyclic graphs (DAGs). The three concerns covered on this page — graph adapters, execution,...

Open the full manual

https://github.com/apache/hamilton Project Manual
Table of Contents
Core Architecture: Driver, Nodes & DAGs
Related Pages
High-Level Architecture
The Node Primitive
The Graph (DAG)
The Driver

Core Architecture: Driver, Nodes & DAGs

Related topics: Function Modifiers, Lifecycle Hooks & Plugins, Graph Adapters, Execution & Caching

Source: https://github.com/apache/hamilton / Human Manual

Function Modifiers, Lifecycle Hooks & Plugins

Related topics: Core Architecture: Driver, Nodes & DAGs, Graph Adapters, Execution & Caching, Hamilton UI, SDK & Data Tracking

Source: https://github.com/apache/hamilton / Human Manual

Graph Adapters, Execution & Caching

Related topics: Core Architecture: Driver, Nodes & DAGs, Function Modifiers, Lifecycle Hooks & Plugins

Source: https://github.com/apache/hamilton / Human Manual

Hamilton UI, SDK & Data Tracking

Related topics: Function Modifiers, Lifecycle Hooks & Plugins, Graph Adapters, Execution & Caching

Source: https://github.com/apache/hamilton / 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.