Your data, visualized.
Drag-and-drop dashboards, custom reports, and real-time metrics on top of your own database — pre-built BI for your Django and React application.
Your data, visualized
Every application generates data — few make that data useful. This module turns your raw database into interactive dashboards, custom reports, and actionable insights, without building a BI tool from scratch.
Features
Dashboards your users build. Reports that run themselves.
Dynamic dashboards
Drag-and-drop layout for creating custom dashboard views; a widget library with charts (bar, line, pie, area), KPI cards, tables, and heatmaps; real-time data with configurable refresh intervals; and dashboard sharing via public links, team-scoped, and embedded views.
Report generation
A custom report builder with filter, group, and aggregate operations; scheduled reports with daily, weekly, and monthly delivery via email; export formats including PDF, CSV, and Excel; and parameterized reports — reusable templates with dynamic inputs.
Data layer
An aggregation engine with pre-computed metrics for fast dashboard loading; data source connectors that query any Django model as a data source; Redis-backed query caching for high-traffic dashboards; and row-level security so users only see data they’re authorized to access.
Visualization
A modern chart library built with React and chart.js / D3.js; responsive design so dashboards work on desktop, tablet, and mobile; and theming with customizable colors and branding per tenant or organization.
Technical Details
| Component | Implementation |
|---|---|
| Backend | Django ORM aggregation, DRF API, Celery for scheduled reports |
| Frontend | React with chart.js / D3.js, drag-and-drop grid layout |
| Caching | Redis for query results and computed metrics |
| Export | ReportLab (PDF), openpyxl (Excel), native CSV |
Integration Time
Typically 3–10 days depending on the number of data sources and the depth of reporting needed. Integration includes configuring data sources, initial dashboard templates, and report definitions.
Pairs Well With
Audit Log — visualize audit data and compliance metrics.
Multi-Tenant SaaS — tenant-scoped dashboards and reports.
Settings Engine — admin-configurable dashboard defaults.
Frequently asked questions
How long does integration take?
Typically 3–10 days depending on the number of data sources and the depth of reporting needed — including configuring data sources, initial dashboard templates, and report definitions.
Can any Django model become a data source?
Yes. Data source connectors let you query any Django model as a data source, with an aggregation engine of pre-computed metrics and Redis-backed query caching keeping high-traffic dashboards fast.
Which export and delivery formats are supported?
Reports export to PDF via ReportLab, Excel via openpyxl, and native CSV — and scheduled reports deliver daily, weekly, or monthly via email, built from parameterized, reusable templates.
How are dashboards secured?
Row-level security means users only see data they’re authorized to access, and dashboard sharing supports public links, team-scoped, and embedded views.
One of eight pre-built foundations.
BI & Analytics pairs well with Audit Log for visualizing audit data, Multi-Tenant SaaS for tenant-scoped dashboards and reports, and the Settings Engine for admin-configurable dashboard defaults.
Explore the Accelerator ModulesAdd analytics without building a BI tool.
Book a discovery call — we’ll map your data sources and reporting needs, and sketch the first dashboards your users would get.