Monitor application health
Select and analyze data subsets
Analyze and visualize your dataset using AI
Try the Hugging Face API through the playground
Explore and filter model evaluation results
Display color charts and diagrams
Analyze data using Pandas Profiling
VLMEvalKit Evaluation Results Collection
Embed and use ZeroEval for evaluation tasks
Make RAG evaluation dataset. 100% compatible to AutoRAG
Generate a detailed dataset report
Evaluate model predictions and update leaderboard
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.