ScopiDo

ScopiDo

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 wo
ScopiDo screenshot

ScopiDo: Open Source Scientific Workflow Management

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.

What is ScopiDo?

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:

  • Drag and drop interface for building workflows visually
  • Support for running workflows locally or integrating with HPC environments and cloud platforms
  • Real-time pipeline visualization for monitoring execution
  • Versioning of workflows
  • Managing inputs, outputs, and metadata
  • Plugins for extending functionality
  • APIs for integrating into other platforms

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.

ScopiDo Features

Features

  1. Graphical workflow designer
  2. Support for distributed computing
  3. Integrated provenance tracking
  4. Reusable workflow templates
  5. Collaborative sharing of workflows
  6. Web-based user interface

Pricing

  • Open Source

Pros

Open source and free to use

Intuitive drag-and-drop interface

Good for automating computational experiments

Active development community

Integrates with multiple environments like HPC and cloud

Cons

Limited adoption outside of niche research communities

Steep learning curve for advanced features

Not as full-featured as some commercial alternatives

Lacks some data visualization capabilities

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