Learn BLUEPRINT-JS with Real Code Examples

Updated Nov 23, 2025

Explain

BlueprintJS provides prebuilt React components for forms, tables, navigation, and interactive elements.

It is designed for desktop-centric, data-heavy applications with robust usability standards.

Ideal for building analytics dashboards, admin panels, and enterprise tools in React.

Core Features

Tables with sorting, filtering, and virtualization

Forms, inputs, and controls

Modals, dialogs, and popovers

Navigation components: Tabs, Menus, Drawers

Date pickers, sliders, and interactive charts integration

Basic Concepts Overview

Buttons: `<Button>` with icon support

Forms: `<InputGroup>`, `<Switch>`, `<Checkbox>`

Tables: `<Table>` with virtualized rows

Navigation: `<Tabs>`, `<Navbar>`, `<Menu>`

Dialogs: `<Dialog>` and `<Popover>`

Project Structure

src/components/ - reusable BlueprintJS components

src/pages/ - page-level components

src/styles/ - custom CSS overrides

public/ - static assets

node_modules/ - npm dependencies including BlueprintJS

Building Workflow

Install BlueprintJS core and optional icons

Import CSS globally or via JS bundler

Use React components in JSX

Customize themes with CSS variables

Optimize bundle using tree-shaking and modular imports

Difficulty Use Cases

Beginner: Buttons, basic forms, icons

Intermediate: Tables, Tabs, Popovers

Advanced: Virtualized data tables, complex dashboards

Expert: Performance tuning and theme overrides

Community: Custom components and layouts

Comparisons

Desktop-focused vs. AntD enterprise-wide

React-only library like AntD

High-performance virtualized components

Smaller component ecosystem

Optimized for data-dense apps

Versioning Timeline

2015 – BlueprintJS initial release

2016–2018 – Core component expansion

2019–2020 – Table virtualization and icons library

2021–2023 – Accessibility improvements and performance optimization

2024–2025 – Maintenance and community contributions

Glossary

Component: reusable React element

Virtualization: performance optimization for large datasets

Theme variable: CSS variable controlling component styling

Data-dense: optimized for displaying large datasets

Desktop-focused: UI designed for desktop screens