daggerml

DaggerML makes research computations durable, inspectable, cacheable DAGs. It records the inputs, functions, results, execution boundaries, and provenance behind a research result.

Installation

Install daggerml in whichever virtual environment you prefer.

pip install daggerml

Install terminal rendering support:

pip install "daggerml[terminal]"

Start a project

mkdir research-demo && cd research-demo
dml init

Then author a DAG in Python:

import daggerml as dml

with dml.new("first-result") as dag:
    result = dag.put(42, name="answer")
    dag.commit(result)

Docs

Contributing

If you want to contribute, please check out the contributing guide.

License

daggerml is distributed under the terms of the MIT license.

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Source Distribution

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