Analyze and visualize data with various statistical methods
Filter and view AI model leaderboard data
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Explore tradeoffs between privacy and fairness in machine learning models
Generate benchmark plots for text generation models
Launch Argilla for data labeling and annotation
Predict soil shear strength using input parameters
Browse and compare Indic language LLMs on a leaderboard
Display CLIP benchmark results for inference performance
Display competition information and manage submissions
Try the Hugging Face API through the playground
Analyze Shark Tank India episodes
Display server status information
AMKAPP is a data visualization and analysis tool designed to help users explore, analyze, and visualize data efficiently. It leverages advanced statistical methods to provide meaningful insights from complex datasets. With a user-friendly interface, AMKAPP aims to simplify the process of transforming raw data into actionable information.
• Data Import: Supports multiple data formats for easy import.
• Interactive Visualizations: Creates dynamic charts, graphs, and plots.
• Statistical Analysis: Includes tools for regression, correlation, and hypothesis testing.
• Real-Time Collaboration: Allows teams to work together on projects.
• Export Options: Saves visualizations in various formats like PNG, PDF, and CSV.
• Tutorials and Guides: Provides built-in resources for learning.
• Multi-Language Support: Available in multiple languages for global accessibility.
What file formats does AMKAPP support?
AMKAPP supports CSV, Excel, JSON, and other common data formats.
Can AMKAPP handle advanced statistical analysis?
Yes, AMKAPP offers tools for regression, correlation, and hypothesis testing, making it suitable for advanced statistical analysis.
Is AMKAPP available on multiple platforms?
Yes, AMKAPP is available on Windows, macOS, and Linux, ensuring accessibility across different operating systems.