ScopiDo is an open source scientific workflow management system that aims to aid researchers in the design, execution, and monitoring of data-driven computational experiments. It provides an easy to use interface for creating scientific pipelines, viewing results, and managing workflows.
ScopiDo is an open source scientific workflow management system designed to help researchers implement and execute complex computational experiments involving large datasets and pipelines. It provides a graphical user interface that allows users to easily build workflows by connecting computational or data manipulation steps into pipelines.
Some key features of ScopiDo include:
ScopiDo aims to make it easier for scientists, especially those without extensive programming experience, to automate complex sequences of data processing tasks. The graphical workflows enable reusable templates for common pipelines and provide transparency into each step. This can aid reproducibility and sharing of computational analysis methods across teams.
The system is extensible via Python-based plugins, allowing integration of custom analysis code. It can leverage HPC infrastructure and also supports deployment on cloud platforms like AWS to scale up workflow execution. Overall, ScopiDo focuses on accessibility, transparency, and scalability in order to provide researchers with an efficient environment for managing computational experiments involving large heterogeneous data.
No alternatives found for ScopiDo. Why not suggest an alternative?