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Automate your work by writing a configuration file

Project description


Automate your work by writing a configuration file.

Please see for examples and tutorials.

pip install -U crosscompute



Run Automation

crosscompute automations run
crosscompute automations run automation.yml

Add Tool

git clone
cd crosscompute-examples/add-numbers

# Mock
crosscompute tools add tool.yml --mock

# Real
crosscompute tools add tool.yml

See Tool

crosscompute tools see
crosscompute tools see | jq
crosscompute tools see | jq .[].id
crosscompute tools see TOOL-ID

Run Worker

crosscompute workers run

See Project

crosscompute projects see
crosscompute projects see | jq
crosscompute projects see | jq '.[] | {,}'
crosscompute projects see PROJECT-ID

Set Project

crosscompute projects set project.yml

Add Result

crosscompute results add result.yml


git clone
cd crosscompute
pip install -e .[test]
pytest --cov=crosscompute --cov-report term-missing:skip-covered --cov-config=tox.ini tests


  • Olga Creutzburg
  • Salah Ahmed
  • Rodrigo Guarachi
  • Polina Chernomaz
  • Miguel Ángel Gordián
  • Noé Domínguez Porras
  • Marta Moreno
  • Ning Wei
  • Elaine Chan
  • Aida Shoydokova
  • Jennifer Ruda


  • Start from scratch
  • Define AddProjectScript, ChangeProjectScript, SeeProjectScript
  • Define AddToolScript, SeeToolScript
  • Support reports
  • Parallelize report and result automations using ThreadPoolExecutor


  • Add memory_level, processor_level to work script
  • Remove redundant calls to data_type.load
  • Render run_tool_json errors in form
  • Replace setup script with support for in work script
  • Replace show_standard_output, show_standard_error with show_raw_output
  • Support inline default values in tool definition e.g. {--x} and {--x 1}
  • Use hard links when available


  • Accept markdown templates that lack titles
  • Add work script
  • Expand support for DataType.parse, DataType.render
  • Handle empty arguments properly
  • Rearrange result folder
  • Recognize variable name and variable help in markdown templates


  • Serve Python Jupyter Notebooks
  • Support Python 3
  • Support Unicode
  • Support Windows


  • Add tool scaffold
  • Support data types that require extra stylesheets, scripts, api_keys
  • Make result files available from server
  • Use DataTypeError to detect data_type errors
  • Use DataType classmethods without instantiation


  • Validate standard outputs and standard errors against data types
  • Support popovers via help in tool definition


  • Support data type plugins
  • Add setup script


  • Add run script
  • Add serve script

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