Scripts are widely used to design and run scientific experiments. Scripting languages are
easy to learn and use, and they allow complex tasks to be specified and executed in fewer …

We propose noWorkflow, a tool that transparently captures provenance of scripts and
enables reproducibility. Unlike existing approaches, noWorkflow is non-intrusive and does …

Scientific workflow management systems offer features for composing complex
computational pipelines from modular building blocks, for executing the resulting automated …

A major part of machine learning research typically involves a significant number of
computational experiments run with many different hyperparameter settings. This process …

We present noWorkflow, an open-source tool that systematically and transparently collects
provenance from Python scripts, including data about the script execution and how the script …

The pathway of a modelling project is commonly described as an adaptively adjusted chain
of steps at which various decisions are made. Communication and documentation about …

Interactive notebooks help users explore code, run simulations, visualize results, and share
them with other people. While these notebooks have been widely adopted in teaching as …

With improvements in computing and communications, the amount of scientific data in
agriculture has been exploding. Thus, researchers must rely on computational simulations to …

Scripting languages like Python, R, andMATLAB have seen significant use across a variety
of scientific domains. To assist scientists in the analysis of script executions, a number of …

Script languages are powerful tools for scientists. Scientists use them to process data,
invoke programs, and link program outputs/inputs. During the life cycle of scientific …