If you’re a Flutter developer building dashboards, analytics apps, or reporting tools, and you often deal with large datasets, you’ll know how tricky it can be to find a charting library that balances ease of use, performance, and flexibility.
That’s the gap I tried to solve when building Cristalyse. Here are 7 reasons you might find it useful:
1. Simple Grammar of Graphics
Cristalyse uses a grammar of graphics approach (inspired by ggplot). Instead of wiring endless widget configs, you describe what you want:
CristalyseChart()
.data(data)
.mapping(x: 'month', y: 'revenue', color: 'region')
.geomBar()
.theme(ChartTheme.cyberpunk())
.build();
Readable, customizable, and much closer to how you think about data.
2. Handles 50k+ Data Points Smoothly
Performance was a big focus. Cristalyse stays responsive even when plotting tens of thousands of data points, so you don’t have to cut corners.
3. Built-In Animations and Interactivity
You don’t need extra packages to get the basics right:
- Smooth animations
- Interactive Panning
- Tooltips, legends, theming
4. 15+ Chart Types
Bar, line, area, scatter, bubble, heatmaps, grouped bars, stacked bars — and each one is customizable.
5. Advanced Features When You Need Them
Multiple axes, categorical coloring, bubble sizing, heatmaps. These are supported natively, so you won’t have to hack your way around them.
6. Open Source Under MIT
Cristalyse is open source under the MIT license, so you can use it freely in commercial apps without restrictions.
7. Clear, Practical Documentation
The docs are written to be straightforward and example-driven, so you can get comfortable in a short amount of time without a steep learning curve.
Bonus: GitHub Discussions
rudi-q
/
cristalyse
High-performance data visualization library for Flutter with native rendering and cross-platform support
The grammar of graphics visualization library that Flutter developers have been waiting for.
Finally, create beautiful data visualizations in Flutter without fighting against chart widgets or settling for web-based solutions.
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Visit our complete documentation for step-by-step guides, interactive examples,
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✨ Why Cristalyse?
Stop wrestling with limited chart libraries. Cristalyse brings the power of grammar of graphics (think ggplot2) to Flutter with buttery-smooth 60fps animations and true cross-platform deployment.
- 🎨 Grammar of Graphics API - Familiar syntax if you've used ggplot2 or plotly
- 🚀 Native 60fps Animations - Leverages Flutter's rendering engine, not DOM manipulation
- 📱 True Cross-Platform - One codebase → Mobile, Web, Desktop, all looking identical
- ⚡ GPU-Accelerated Performance - Handle large datasets without breaking a sweat
- 🎯 Flutter-First Design - Seamlessly integrates with your existing Flutter apps
- 📊 Dual Y-Axis Support -…
If you run into questions, there’s a space on GitHub Discussions where you can ask. I’m actively maintaining Cristalyse, so feedback and issues are always welcome.
Closing Thoughts
Cristalyse is still evolving, but it’s already usable for real dashboards and applications. If you’ve been struggling with performance or complexity in other libraries, this might give you a smoother experience.
👉 Try it out:
flutter pub add cristalyse
Docs: docs.cristalyse.com
Pub Dev: pub.dev/packages/cristalyse
GitHub: github.com/rudi-q/cristalyse
Top comments (2)
thanks for building this package, Cristalyse has saved me so much time for charts 🙏
This is always the most pleasant thing to hear ☺️