Pydra: Dataflow Engine

A simple dataflow engine with scalable semantics.

Pydra is a rewrite of the Nipype engine with mapping and joining as first-class operations. It forms the core of the Nipype 2.0 ecosystem.

The goal of pydra is to provide a lightweight Python dataflow engine for DAG construction, manipulation, and distributed execution.

Feature list:

Python 3.7+ using type annotation and attrs
Composable dataflows with simple node semantics. A dataflow can be a node of another dataflow.
splitter and combiner provides many ways of compressing complex loop semantics
Cached execution with support for a global cache across dataflows and users
Distributed execution, presently via ConcurrentFutures, SLURM, and Dask (this is an experimental implementation with limited testing)

Binder

Please note that mybinder times out after an hour.

pip install pydra

Note that installation fails with older versions of pip on Windows. Upgrade pip before installing:

pip install –upgrade pip
pip install pydra

Pydra requires Python 3.7+. To install in developer mode:

git clone git@github.com:nipype/pydra.git
cd pydra
pip install -e ".[dev]"

In order to run pydra’s test locally:

pytest -vs pydra

If you want to test execution with Dask:

git clone git@github.com:nipype/pydra.git
cd pydra
pip install -e ".[dask]"

It is also useful to install pre-commit:

pip install pre-commit
pre-commit

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for pydra 0.25
File	Size	Uploaded
pydra-0.25.tar.gz	10.6 MB	Nov 15, 2024	Details

Table of built distributions (wheels) for pydra 0.25
File	Interpreter	ABI	Platform	Reset
pydra-0.25-py3-none-any.whl 10.6 MB Nov 15, 2024	Python 3	none	any	Details

Total release size: 21.2 MB

Download URL	pydra-0.25.tar.gz
Size	10.6 MB
Tags	Source
SHA-256 checksum How to use checksums	`bf3f4e31a369fa69db6c5d6b1c27248b1541e647032a33f239c53c052846791f`
BLAKE2b-256 checksum How to use checksums	`a5806e027de441fbd8b4e70d2b9f94f286b585a5577a00cff878c88ed2a635ee`
Upload date	Nov 15, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.12.7`

Download URL	pydra-0.25-py3-none-any.whl
Size	10.6 MB
Tags	Python 3
SHA-256 checksum How to use checksums	`3fec6cc8e60cabb698fc6259ab265aede4961d33be84b31f677bc9e251c49c15`
BLAKE2b-256 checksum How to use checksums	`84b686de6647b6b8c706f3ca550bf5a1e5d2f674d7a404aca575e9c07998367c`
Upload date	Nov 15, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.12.7`