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software to generate a reproducible container battery of experiments.

Project description

# The Experiment Factory

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See our [documentation]( for getting started. If you are new to containers, read our [background]( or [paper](paper) first. If you want a more guided entry, see the [detailed start](

The Experiment Factory is software to create a reproducible container that you can easily customize to deploy a set of web-based experiments.

## Citation If the Experiment Factory is useful to you, please cite [the paper]( to support the software and open source development.

` Sochat, (2018). The Experiment Factory: Reproducible Experiment Containers. Journal of Open Source Software, 3(22), 521, `

## Contributing We have many ways to contribute, and will nriefly provide resources here to get you started.

### How to Contribute If you are a developer interested in working on the Experiment Factory software you should read out [contributing guidelines](.github/ for details. For contributing containers and experiments, see our [user documentation]( If you have any questions, please don’t hesitate to [ask a question](

### Code of Conduct It’s important to treat one another with respect and maintain a fun and respectful environment for the open source community. Toward this aim, we ask that you review our [code of conduct](.github/

## Background It’s predecessor at []( was never able to open up to the public, and this went against the original goal of the software. Further, the badly needed functionality to serve a local battery was poorly met with [expfactory-python]( as time progressed and dependencies changes.

This version is agnostic to the underlying driver of the experiments, and provides reproducible, instantly deployable “container” experiments. What does that mean?

  • You obtain (or build) one container, a battery of experiments.
  • You (optionally) customize it - custom variables (e.g., a study identifier) and configurations go into the build recipe - you can choose to use your own database (default output is flat files) - other options are available at runtime
  • The container can be easily shared.
  • You run the container, optionally specifying a subset and ordering, and collect your results

If you build on [Docker Hub]( anyone else can then pull and use your exact container to collect their own results. It is exact down to the file hash.

## Experiment Library The experiments themselves are now maintained under [expfactory-experiments](, official submissions to be found by expfactory can be added to the [library]( (under development) to be tested that they meet minimum requirements.

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