Monitor application health
Profile a dataset and publish the report on Hugging Face
Cluster data points using KMeans
Generate detailed data reports
Classify breast cancer risk based on cell features
Browse LLM benchmark results in various categories
Display color charts and diagrams
Display a welcome message on a webpage
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Predict soil shear strength using input parameters
This project is a GUI for the gpustack/gguf-parser-go
Explore and submit NER models
Analyze and visualize data with various statistical methods
Gemini is a data visualization tool designed to help users monitor application health. It provides intuitive and interactive visualizations to track key metrics, ensuring optimal performance and quick identification of potential issues.
• Real-Time Monitoring: Track application performance metrics in real-time.
• Customizable Dashboards: Create tailored visualizations to suit your monitoring needs.
• Alerting System: Set up notifications for critical thresholds and anomalies.
• Multi-Data Source Support: Connect with various data sources for comprehensive insights.
• Cross-Platform Compatibility: Access Gemini from web, desktop, or mobile devices.
• User-Friendly Interface: Easy-to-use design for seamless navigation and analysis.
What data sources does Gemini support?
Gemini supports a wide range of data sources, including popular monitoring tools, databases, and cloud services.
How does the alerting system work?
The alerting system notifies you when predefined thresholds are crossed. You can customize these thresholds and notification methods.
Is Gemini suitable for small applications?
Yes, Gemini is designed to scale with your needs, making it suitable for both small and large-scale applications.