dagger-io
A client package for running Dagger pipelines in Python.
Decision gist · record as of 2026-08-14
Yes. Dagger Python SDK is actively maintained, has no known vulnerabilities, low install friction, and a permissive license. It's suitable for teams wanting to write CI/CD pipelines as Python code. Install it if you want to replace shell scripts and YAML with type-safe, testable Python—but only if you have Docker or another OCI runtime available and are comfortable with async Python.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later and Docker or another OCI-compatible container runtime installed and running on your system.
- Low install friction with a pure-wheel distribution.
- Active maintenance with a release 16 days ago and a commit history through 2026-08-14.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache Software License (permissive), which allows commercial and private use with minimal restrictions—suitable for most production and open-source projects.
last release 2026-07-29 (16 days) · last repo commit 2026-08-14 · 16,163 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 240,161 downloads/mo, #8,909 on PyPI
Alternatives
Verify before relying
pip install dagger-io
import anyio
import dagger
from dagger import dag
async def main():
async with dagger.connection():
ctr = dag.container().from_("python:alpine")
result = await ctr.with_exec(["echo", "hello"]).stdout()
print(result)
anyio.run(main)- Whether the SDK's automatic Dagger CLI download works reliably in air-gapped or restricted network environments.
- Performance characteristics and resource overhead when running many concurrent pipelines.
- Compatibility with container runtimes other than Docker (e.g., Podman, containerd) beyond the 'OCI-compatible' claim.
What it is and what it does
Dagger Python SDK lets you write CI/CD pipelines as Python code that runs on any OCI-compatible container runtime. Instead of writing declarative YAML or shell scripts, you define pipeline steps using a fluent Python API—building containers, executing commands, and chaining operations together. The SDK handles container lifecycle management and automatically downloads and runs the Dagger CLI engine for you.
It's built on async/await primitives (via anyio) and integrates with OpenTelemetry for observability. The package requires Python 3.10 or later and a running container runtime like Docker. It has 13 runtime dependencies including gql for GraphQL communication, httpcore for networking, and rich for terminal output formatting.
Use it for
- Define multi-stage build pipelines in Python that run in isolated containers without manual Docker CLI calls.
- Automate testing, linting, and deployment workflows as type-checked Python code instead of shell scripts.
- Build and push container images programmatically with full control over layer caching and dependency management.
- Create reusable pipeline modules in Python that can be versioned and tested like regular application code.
- Debug CI/CD logic locally before committing, using the same Python runtime as your production pipeline.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Dagger Python SDK is actively maintained, has no known vulnerabilities, low install friction, and a permissive license. It's suitable for teams wanting to write CI/CD pipelines as Python code. Install it if you want to replace shell scripts and YAML with type-safe, testable Python—but only if you have Docker or another OCI runtime available and are comfortable with async Python.
Install
dagger-io on PyPI
Before you install
Low install friction with a pure-wheel distribution. Active maintenance with a release 16 days ago and a commit history through 2026-08-14. Requires Python 3.10 or later and Docker or another OCI-compatible runtime; the SDK automatically manages the Dagger CLI for you.
Requires Python 3.10 or later and Docker or another OCI-compatible container runtime installed and running on your system.
License in practice
Licensed under Apache Software License (permissive), which allows commercial and private use with minimal restrictions—suitable for most production and open-source projects.
Quickstart
pip install dagger-io
import anyio
import dagger
from dagger import dag
async def main():
async with dagger.connection():
ctr = dag.container().from_("python:alpine")
result = await ctr.with_exec(["echo", "hello"]).stdout()
print(result)
anyio.run(main)Verify before relying
- Whether the SDK's automatic Dagger CLI download works reliably in air-gapped or restricted network environments.
- Performance characteristics and resource overhead when running many concurrent pipelines.
- Compatibility with container runtimes other than Docker (e.g., Podman, containerd) beyond the 'OCI-compatible' claim.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 13 packagesanyiocattrsgqlyarlhttpcorebeartypeplatformdirstyping-extensionsrichopentelemetry-sdkopentelemetry-exporter-otlp-proto-httpopentelemetry-instrumentation-loggingexceptiongroup |
| Maintenance | Actively maintained 16 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 240,161 / month, #8,909 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableFramework :: AnyIOFramework :: PytestIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Typing :: Typed |
Evidence: dagger_io-0.21.8-py3-none-any.whl
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