Free .pbiviz Generator

Download a Box Plot .pbiviz file for Power BI

Download a Box Plot .pbiviz for Power BI. AI-generated, source code included, free trial credits to start. No marketplace seat fees.

A .pbiviz is the file format Power BI uses for custom visuals — a packaged TypeScript visual including capabilities.json (data role definitions), visual.ts (rendering logic), settings.ts (formatting-pane options), and a compiled bundle. Importing one into Power BI Desktop is straightforward (Visualizations pane → three-dot menu → Import a visual from a file). The harder question is where to get a .pbiviz that does exactly what you want.

If you've searched "Box Plot pbiviz download free", you've probably hit AppSource (most options paid; free tiers limited) or GitHub repos (mixed quality; often un-maintained; rarely the exact visual you described). The third option — generate a custom .pbiviz from a description, free up to your trial credits — exists and most people haven't tried it yet.

VizForge generates the .pbiviz on demand from a plain-English prompt. The output is a standard Power BI custom visual: same .pbiviz extension, same import path, same Power BI compatibility (Desktop, Service, Premium, Embedded). The TypeScript source ships with the file, so the visual is yours to extend or modify forever.

Step-by-step

  1. 1

    Describe the box plot you need

    Specify the data shape (which columns the visual will consume), the styling (colours, fonts, border radius), and the formatting-pane options users should be able to adjust. Two-three paragraphs of description usually produces a near-final visual on first generation.

  2. 2

    Generate and review

    Click Generate. The pipeline runs in 1-3 minutes for fresh visuals. You see a live preview while the build runs. If the result isn't quite right, click Refine and describe the change — each refinement is a small diff, not a regeneration.

  3. 3

    Download the .pbiviz

    Click Download in the workspace. The browser saves a .pbiviz file (~50-200 KB depending on visual complexity). The TypeScript source is also available as a separate download if you want to edit the visual yourself later.

  4. 4

    Import into Power BI Desktop

    In Power BI Desktop: Visualizations pane → three-dot menu → Import a visual from a file → select the .pbiviz. The box plot appears in your visualisations gallery; click to add it to the page.

  5. 5

    Bind data and publish

    Drop your fields onto the data wells exposed by the visual. Adjust formatting in the standard formatting pane. Save the .pbix and publish to Power BI Service when ready — the box plot renders identically in the browser.

The AI alternative: Generate a free box plot .pbiviz on the trial plan — 5 credits on signup, no card required. Source code included.

Generate a box plot on VizForge →

When to use a box plot

  • Order-value distributions by region
  • Ticket-resolution-time distributions by priority
  • Lab-result distributions across batches (quality control)
  • Engagement-metric distributions across user cohorts
  • Transaction-count distributions across branches

Frequently asked questions

How big is the typical .pbiviz file?

Generated .pbiviz files are 50-200 KB for most visual types — comparable in size to AppSource visuals. The .pbiviz is a zip-archive containing the compiled JavaScript bundle, the capabilities.json, and metadata.

Will the .pbiviz work after Power BI's monthly updates?

Yes. The Power BI Visuals SDK has strong backwards compatibility within major versions. VizForge generates against API 5.11+; .pbiviz files generated today will continue working through Power BI's 2026-2027 update cycle.

Is the source code really included?

Yes. Every download includes the full TypeScript source (visual.ts, settings.ts, style.less, capabilities.json). You can open the project in VS Code, edit it, rebuild with `pbiviz package`, and reimport. There's no obfuscation or licence-key gating.

Tukey whiskers or min/max?

Tukey 1.5×IQR by default (more informative, outliers shown separately). Specify 'min/max whiskers' in the prompt for the simpler variant.

Can I show the notch for median confidence?

Yes — prompt for 'notched box plot'. Useful when comparing two groups to see if medians differ significantly.

How does it handle very small samples?

Below 5 observations the visual renders individual dots instead of a box, with a subtle note explaining why.

Can I overlay the mean?

Yes — specify 'show mean as a cross' or 'show mean line' in the prompt.

Other guides for the box plot

Same visual, different angle — pick the one that matches what you’re trying to do.

VizForge — AI-generated Power BI custom visuals.

Your next visual
ships in 4–10 min.

Sign up free. 5 credits to generate your first visuals on us. No credit card required.