Monitor application health
Search for tagged characters in Animagine datasets
View and compare pass@k metrics for AI models
Browse and filter LLM benchmark results
Explore and filter model evaluation results
Explore token probability distributions with sliders
statistics analysis for linear regression
Display competition information and manage submissions
Create a detailed report from a dataset
Browse LLM benchmark results in various categories
Form for reporting the energy consumption of AI models.
Display CLIP benchmark results for inference performance
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
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.