1import{_ as e,o as a,c as t}from"./chunks/framework.BV7BAn2o.js";const g=JSON.parse('{"title":"","description":"","frontmatter":{"layout":"home","hero":{"text":"Logic Programming for Declarative Data Science ","tagline":"Logica (= Logic + aggregation) is an open-source, feature-enhanced version of Datalog that automatically compiles logic rules to query engines","image":{"src":"/max_flow.png"},"actions":[{"theme":"brand","text":"Getting Started","link":"/start/"},{"theme":"alt","text":"â½ Logica Playground","link":"https://logica.dev/sandbox.html"},{"theme":"alt","text":"User Guide","link":"/usrguide"}]},"features":[{"icon":"<i class=\\"fa-solid fa-rocket fa-1x iconcolor\\" ></i>","title":"Declarative Data Science Simplified","details":"Logicaâs intuitive syntax bridges beginner queries and complex data analysis."},{"icon":"<i class=\\"fa-solid fa-database fa-1x iconcolor\\"></i>","title":"Versatile Query Engine Support","details":"Compatible with SQLite, PostgreSQL, and BigQuery for diverse workflows."},{"icon":"<i class=\\"fa-solid fa-diagram-project fa-1x iconcolor\\"></i>","title":"Native Python Workflow Support","details":"Seamlessly integrates with Jupyter Notebooks / Google Colab for analysis and visualization."},{"icon":"<i class=\\"fa-solid fa-medal fa-1x iconcolor\\"></i>","title":"Enhanced Features for Data Science","details":"Advanced functions, named arguments, and aggregation for real-world tasks."}]},"headers":[],"relativePath":"index.md","filePath":"index.md"}'),i={name:"index.md"};function o(n,s,r,l,c,d){return a(),t("div")}const m=e(i,[["render",o]]);export{g as __pageData,m as default};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.