Discover equations to fit your data interactively
View and compare pass@k metrics for AI models
Filter and view AI model leaderboard data
Browse and submit evaluation results for AI benchmarks
Gather data from websites
This is a timeline of all the available models released
Embed and use ZeroEval for evaluation tasks
Visualize dataset distributions with facets
Evaluate diversity in data sets to improve fairness
Predict linear relationships between numbers
Browse and compare Indic language LLMs on a leaderboard
Explore and filter model evaluation results
Generate plots for GP and PFN posterior approximations
PySR is a Python-based tool designed for interactive equation discovery. It enables users to uncover underlying relationships within their data by fitting equations in an intuitive and user-friendly manner.
• Interactive Equation Discovery: PySR helps users identify mathematical equations that best fit their data.
• User-Friendly Interface: Designed to be accessible even to those without extensive mathematical or coding expertise.
• Support for Various Data Types: Works with multiple data formats and sources.
• Real-Time Visualization: Provides immediate visual feedback to aid in understanding and refining results.
What is PySR used for?
PySR is primarily used for uncovering mathematical relationships within datasets, making it a powerful tool for data analysis and scientific discovery.
Is PySR easy to use?
Yes, PySR is designed to be user-friendly, with features that cater to both beginners and advanced users.
Can I use PySR for real-time data?
Yes, PySR supports the analysis of real-time data, enabling dynamic equation discovery as new data becomes available.