Build your nf-core pipeline dashboard with Depictio

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Build interactive analysis dashboards for your nf-core pipeline results — no web development required.

Goal

Create ready-to-use dashboards that combine MultiQC reports, Plotly figures, metric cards, and interactive components for any nf-core pipeline. Depictio offers a no-code drag-and-drop interface, while also providing versionable YAML configuration files for reproducibility and sharing.

What is Depictio?

Depictio is an open-source platform for building interactive data dashboards from pipeline results. It features drag-and-drop layout, light/dark modes, and export capabilities — designed for bioinformaticians who want to visualize and share results without writing frontend code.

• Docs: depictio.github.io/depictio-docs
• Install locally or use the hosted instance at SciLifeLab Serve (available to Swedish researchers and SciLifeLab collaborators)

Why build a dashboard?

• Aggregate MultiQC reports across runs to track quality over time
• Create shareable apps for publications and collaborators
• Replace one-off scripts with reusable, interactive visualizations

Tasks

1. Choose an nf-core pipeline you love or/and you work with
2. Write the YAML configuration that tells Depictio which pipeline outputs to register (file paths, formats, data types)
3. Design a dashboard combining relevant plots, tables, and metrics using the drag-and-drop editor
4. Share your dashboard template and configuration with the community

Prerequisites

• Familiarity with an nf-core pipeline and its output structure (which files are produced, their formats) is the main prerequisite
• Optionally bring results from a pipeline run (or plan to use test/megatest datasets)
• Skim the Depictio documentation
• No frontend or web development experience needed. Familiarity with YAML is recommended.

We welcome contributors of all experience levels.