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Rahul Prajapati
Rahul Prajapati

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📊 Two Weeks In: How My First Flutter Chart Package Is Performing on pub.dev 🚀

#flutter #opensource #showdev #pubdev

A couple of weeks ago, I published my first Flutter package on pub.dev:

👉 imp_trading_chart

It wasn’t just “another package release” — it was the result of 2 weeks of continuous brainstorming, refactoring, learning Flutter internals, and performance tuning.

Now that the package has been live for some time, I wanted to share:

  • 📈 How it’s performing
  • 🧠 What I learned
  • 🤝 Where I need community help next

📦 Package Performance (Early Stage)

For a first public package, the response has been honestly motivating:

  • 📥 Steady downloads on pub.dev
  • ⭐ GitHub stars & watchers starting to grow
  • 💬 Feedback and curiosity from Flutter devs interested in:
    • CustomPainter
    • Rendering performance
    • Trading / FinTech UIs

This validated one thing for me 👇
People do care about performance-first Flutter solutions.

🧠 What I Learned Building This

This package taught me more than any tutorial or course ever could.

Key takeaways:

  • 🔥 CustomPainter is insanely powerful when used correctly
  • 🧩 Widget-per-candle is a performance trap for large datasets
  • 🧠 Viewport-based rendering = massive performance wins
  • ⚙️ Engine-first design makes future features easier, not harder
  • 🐛 Profiling & fixing jank teaches you real Flutter

Most importantly:
Writing something others can use forces you to write better code.

⚡ What the Package Does (Quick Recap)

imp_trading_chart is a high-performance trading chart engine for Flutter, inspired by TradingView Lightweight Charts.

Core highlights:

  • ⚡ CustomPainter-based rendering (no widget-heavy charts)
  • 🧠 Viewport-driven drawing (only visible candles rendered)
  • 📊 Handles 10k+ candles smoothly
  • 🔄 Optimized for real-time price updates
  • ✋ Smooth pan & zoom interactions
  • 🧩 Clean architecture: Data → Engine → Rendering
  • 🎨 Multiple variants: Trading, Simple, Compact, Minimal

Built for FinTech, Crypto, and Trading apps where performance actually matters.

🙌 Open Source = Open for Contribution

I’m now actively preparing the next version to make the project more contribution-friendly.

I’d love help with:

  • 📈 Indicators (MA, EMA, VWAP, RSI, etc.)
  • 🎛️ Public controller APIs
  • 🧪 Stress testing & edge cases
  • 📚 Docs, examples, and feedback
  • 💡 Architectural suggestions

If you enjoy:

  • Flutter internals
  • Rendering pipelines
  • Performance optimization
  • Charting or trading UIs

👉 You’ll feel right at home here.

🔗 Links

If you find it useful:

  • ⭐ Star the repo
  • 🧪 Try it out
  • 💬 Open an issue
  • 🔀 Submit a PR

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