Display and manage data in a clean table format
Need to analyze data? Let a Llama-3.1 agent do it for you!
Generate detailed data reports
Evaluate LLMs using Kazakh MC tasks
Generate detailed data profile reports
Classify breast cancer risk based on cell features
Create a detailed report from a dataset
Display a Bokeh plot
This is AI app that help to chat with your CSV & Excel.
Multilingual metrics for the LMSys Arena Leaderboard
VLMEvalKit Evaluation Results Collection
Check system health
Explore and filter model evaluation results
st-mlbee is a Streamlit-based tool designed for data visualization and management. It specializes in displaying data in a clean and organized table format, making it easier to analyze and interact with datasets. The tool is particularly useful for users who need to present data in a structured and visually appealing way.
• Customizable Tables: Display data in highly customizable tables with features like sorting, filtering, and pagination.
• Interactive Elements: Allow users to interact with the data, such as selecting rows or columns for further analysis.
• Responsive Design: Tables adjust seamlessly to different screen sizes, ensuring optimal viewing on both desktop and mobile devices.
• Real-Time Updates: Easily refresh or update the table data in real-time as the dataset changes.
• Export Capabilities: Supports exporting data to various formats like CSV or Excel for further processing.
What is st-mlbee used for?
st-mlbee is primarily used for displaying and managing data in a clean table format within Streamlit applications. It is ideal for data analysis, reporting, and visualization tasks.
How do I customize the table display?
You can customize the table by adjusting settings like column visibility, sorting, filtering, and pagination. These options are typically accessible through parameters or interactive controls in the Streamlit interface.
What data formats does st-mlbee support?
st-mlbee supports various data formats, including Pandas DataFrames, CSV files, and Excel spreadsheets. It is designed to work seamlessly with commonly used data formats in data science workflows.