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