One Dashboard. Six ML Models. Thousands of Data points. Zero Lag.| LightningChart Python
One Dashboard. Six ML Models. Thousands of Data points. Zero Lag.
Designed and built high-performance solar analytics using LightningChart Python's container components, unifying in a single, scalable workspace.
Key Capabilities:
• ML model Comparisons - Linear Regression, Random Forest, XGBoost, LightGBM, CatBoost + Ensemble
• Multi-Dimensional Insights - GPU-accelerated 3D point series and surface charts with full pan, zoom, and rotation
• Rich DataGrid - Embedded sparklines, KPIs, and smooth navigation across large datasets
• Flexible Container Layout - Multiple chart types coexisting with independent sizing and seamless scrolling
From scatter plots to 3D surfaces and DataGrids with inline analytics—everything renders LightningChart Python— high-performance visualization for complex data.
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