discovery-engine
leap-laboratories/discovery-engine
Exploratory data analysis that finds feature interactions and subgroup effects, with p-values, effect sizes and literature citations.
- Cloud integrations
Installation, supported tools and required credentials are maintained by the project.
Project details
- GitHub stars
- 7
- Language
- Python
- License
- MIT
- Forks
- 0
- Activity
- updated 15d ago
First MCP server?Start with the basics
Create validated, maintainable data charts and dashboards with Vizro tools and templates.
Convert almost any file or web content into Markdown.
Interact with Jupyter.
Data quality evaluation with Dingo: run rule-based and LLM-based evaluations and list its rules and prompts.
Autonomous data exploration of CSV datasets with generated insights.
Interact with and control Jupyter Notebooks.
Forecasting and prediction with Chronulus AI agents.
Orchestrate hyperparameter search and other optimization tasks with Optuna.