Free .pbiviz Generator

Download a Pareto Chart .pbiviz file for Power BI

Download a Pareto Chart .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 "Pareto Chart 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
Describe the pareto chart 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
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
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
Import into Power BI Desktop
In Power BI Desktop: Visualizations pane → three-dot menu → Import a visual from a file → select the .pbiviz. The pareto chart appears in your visualisations gallery; click to add it to the page.
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 pareto chart renders identically in the browser.

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

Generate a pareto chart on VizForge →

When to use a pareto chart

Defect category analysis (which defects cause 80% of complaints?)
Cost concentration (which vendors account for 80% of spend?)
Revenue by customer (which customers generate 80% of revenue?)
Inventory ABC classification
Support ticket topic analysis

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.

Where does the 80% line come from?

Hard-coded by default but configurable. Prompt for 'show 80% reference line' or a custom percentile; the visual renders a horizontal rule at that cumulative point.