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adagio

The Dag IO Framework for Fugue projects

adagio v0.2.6 2.3M downloads/30d#3,143 on PyPI10
Permissive license Apache-2.0 DORMANT released

What it is and what it does

Adagio is a DAG (directed acyclic graph) framework designed specifically for the Fugue project ecosystem. It provides abstractions and utilities for constructing and executing workflows as acyclic task graphs, where each node represents a computation and edges represent data dependencies. The package is lightweight, with only one runtime dependency (triad), and supports Python 3.8 through 3.12.

The package is currently in Alpha status and has not received updates for 730 days, though its repository remains accessible and the codebase is compatible with modern Python versions. It is positioned as a workflow orchestration tool for developers building data pipelines within Fugue, particularly those who need explicit DAG semantics for task scheduling and execution.

Use it for:

  • Define multi-step data transformation workflows as directed acyclic graphs within Fugue projects.
  • Orchestrate dependent tasks where outputs of one stage feed into the next in a controlled, acyclic manner.
  • Build reproducible data pipelines that integrate with the broader Fugue ecosystem for distributed computing.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Adagio provides a directed acyclic graph (DAG) framework for defining and executing data workflows within the Fugue ecosystem.

Yes-with-conditions. Install if you are actively using Fugue and need DAG-based workflow orchestration within that ecosystem. The low install friction and permissive Apache-2.0 license are favorable. However, the 730-day dormancy and Alpha status suggest you should verify that Adagio remains the recommended approach for your use case within Fugue, as the project may have evolved or been superseded by other tooling.

Install

adagio on PyPI

pip

pip install adagio

uv

uv add adagio

poetry

poetry add adagio

Installing adagio

Before you install

Low install friction with a single runtime dependency (triad). The package is in Alpha status and has been dormant for 730 days since its last release on 2024-08-14, though the repository remains active and the codebase supports current Python versions (3.8–3.12).

License in practice

Licensed under Apache-2.0 (permissive), which allows free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.

Quickstart

pip install adagio

import adagio
# Adagio provides DAG construction and execution for Fugue workflows

Requires Python >= 3.8 and the triad runtime dependency.

Verify before relying

  • Whether the package is actively maintained or if dormancy signals deprecation in favor of newer Fugue tooling.
  • Whether Adagio's DAG capabilities are still the recommended approach for Fugue workflows or if alternative patterns are now preferred.
  • Specific use cases and real-world adoption beyond the Fugue project ecosystem.

Package facts

License Apache-2.0 (permissive)
Python support supports the current Python release (>=3.8)
Install friction low — pure-Python wheel
Runtime dependencies 1 — triad
Maintenance dormant — 730 days since the last release
Last repo commit
First released
Downloads 2,319,178/month — #3,143 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: adagio-0.2.6-py3-none-any.whl

Keywords: adagio, dag, directed, acyclic, graph, workflow

Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python Modules

Tags

dag workflow frameworkdirected acyclic graph pythonfugue dag ioworkflow orchestration dagdata pipeline dag frameworkacyclic graph executionfugue project integration
workflow-orchestrationfugue-ecosystem

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Further reading