Power Bi Dashboard Templates Free Download Pbix Github High Quality !!top!! (2026)

By leveraging the open-source community on GitHub—from Microsoft’s official samples to the design-heavy work of MVPs—you can bypass the tedious setup phase and focus on what matters: generating insights.

containing sample files used in monthly release videos, ideal for exploring new features. Dashboard-Design/Power-BI-Design-Files

Double-click the downloaded file to launch it locally. Change the Data Source: Go to Home > Transform Data > Data Source Settings .

| Repository Focus | Key Quality Feature | Star Count (approx) | |----------------|---------------------|---------------------| | Sales & Finance Dashboard | Dynamic date tables, periodic snapshot measures | 1,200+ | | HR Analytics (Attrition) | Decomposition tree, what-if parameters | 850+ | | Supply Chain KPI | Map visuals with custom geo-coding, incremental refresh | 620+ | | Marketing Campaign ROI | Parameterized DAX for budget vs. actual | 490+ | Change the Data Source: Go to Home >

: Right-click the downloaded file on your local machine, select Properties , and check the Unblock box if Windows flags it as a file from the internet.

These curated repositories provide professional-grade templates that you can download, open in Power BI Desktop , and reverse-engineer. Microsoft Desktop Samples

These can be downloaded directly from the official Power BI samples gallery or GitHub repository. 3. Community-Driven Sites spark new ideas for data visualization

Run the built-in Performance Analyzer ( View > Performance Analyzer ) while interacting with the downloaded dashboard. This guarantees that the visual layouts and DAX queries run fast enough to handle your actual data volume.

These templates focus on pipeline, revenue forecasting, and conversion rates.

Other sources to check (GitHub topics/indexes) and provide a solid

Gauge charts for retention targets, geographic maps for workforce distribution, and strict data-masking models.

Finding that are also high quality is not only possible, it's the smart way to work. You don't need to start from scratch. Leveraging these community-built resources can save you dozens of hours, spark new ideas for data visualization, and provide a solid, professional foundation for your own analytics projects.