Display a Bokeh plot
statistics analysis for linear regression
Explore income data with an interactive visualization tool
Display CLIP benchmark results for inference performance
This project is a GUI for the gpustack/gguf-parser-go
Evaluate LLMs using Kazakh MC tasks
Uncensored General Intelligence Leaderboard
More advanced and challenging multi-task evaluation
Explore and compare LLM models through interactive leaderboards and submissions
Explore speech recognition model performance
Analyze data to generate a comprehensive profile report
Analyze data using Pandas Profiling
Analyze Shark Tank India episodes
Bloom Tokens is a data visualization tool designed to help users create and display Bokeh plots with ease. It serves as a user-friendly interface for generating interactive and web-based visualizations, making data exploration more accessible and engaging.
• Bokeh Plotting: Utilizes the Bokeh library to create interactive visualizations. • Web-Based Interaction: Generates plots that can be easily shared and viewed in web browsers. • Customization Options: Allows users to tailor plot designs to suit their needs. • Ease of Use: Simplifies the process of creating complex visualizations. • Integration Capabilities: Works seamlessly with various data sources and tools.
pip install bloom-tokens.What is Bloom Tokens?
Bloom Tokens is a tool that simplifies the creation of interactive Bokeh visualizations, providing an intuitive interface for data exploration.
How do I get started with Bloom Tokens?
Begin by installing Bloom Tokens using pip, then import it into your project to start creating your visualizations.
Why should I use Bokeh plots?
Bokeh plots offer interactive features and web-based viewing, enhancing data analysis and sharing capabilities.