Select and analyze data subsets
Build, preprocess, and train machine learning models
Browse and filter LLM benchmark results
Mapping Nieman Lab's 2025 Journalism Predictions
Compare classifier performance on datasets
Visualize amino acid changes in protein sequences interactively
https://huggingface.co/spaces/VIDraft/mouse-webgen
Multilingual metrics for the LMSys Arena Leaderboard
Browse and filter AI model evaluation results
Cluster data points using KMeans
Display CLIP benchmark results for inference performance
Check system health
Monitor application health
Selector is a powerful data visualization tool designed to help users select and analyze subsets of data with precision. It simplifies the process of isolating specific data points, enabling deeper insights and more accurate analysis.
• Data Subset Selection: Easily isolate and focus on specific portions of your dataset. • Intuitive Interface: User-friendly design for seamless navigation and analysis. • Customizable Visualizations: Tailor your visualizations to suit your analytical needs. • Integration Capabilities: Works seamlessly with other data tools and platforms. • Multi-Dimensional Analysis: Analyze data across multiple dimensions for comprehensive insights.
What types of data formats does Selector support?
Selector supports a wide range of formats, including CSV, Excel, JSON, and SQL databases.
Can Selector handle real-time data analysis?
Yes, Selector is designed to work with real-time data, enabling dynamic and up-to-date analysis.
Is Selector available on all platforms?
Selector is available as a web-based application and can be accessed on Windows, macOS, and Linux systems.