{"repo":"thinmanj/logseq-python-library","free":true,"listed":false,"github":"https://github.com/thinmanj/logseq-python-library","clone":"git clone https://github.com/thinmanj/logseq-python-library.git","description":"🐍 Comprehensive Python library for Logseq knowledge graph interaction. Read, query, and modify Logseq data programmatically with advanced search capabilities.","language":"Python","stars":23,"topics":["automation","data-export","knowledge-graph","logseq","markdown","note-taking","python","query-builder"],"license":"MIT","category":"productivity","readme_excerpt":"🐍 Logseq Python Library The most comprehensive Python library for Logseq knowledge graph interaction Transform your Logseq workflow with programmatic access to every major feature. From basic note-taking to advanced task management, academic research, and knowledge graph analytics - this library supports it all. ✨ Comprehensive Feature Support 🎯 Task Management & Workflows - ✅ Complete Task System : TODO, DOING, DONE, LATER, NOW, WAITING, CANCELLED, DELEGATED, IN-PROGRESS - ✅ Priority Levels : A, B, C with full parsing and filtering - ✅ Scheduling : SCHEDULED dates with time and repeaters (+1w, +3d) - ✅ Deadlines : DEADLINE tracking with overdue detection - ✅ Workflow Analytics : Completion rates, productivity metrics 📝 Advanced Content Types - ✅ Code Blocks : Language detection, syntax highlighting support - ✅ Mathematics : LaTeX/Math parsing ($$math$$, \\\\(inline\\\\)) - ✅ Queries : {{query}} and #+begin query support - ✅ Headings : H1-H6 hierarchical structure - ✅ References : ((block-id)) linking and {{embed}} support - ✅ Properties : Advanced property parsing and querying 🗂️ Organization & Structure - ✅ Namespaces : project/backend hierarchical organization - ✅ Templates : Template variables {{variable}} parsing - ✅ Aliases : Page alias system with [[link]] support - ✅ Whiteboards : .whiteboard file detection - ✅ Hierarchies : Parent/child page relationships 📊 Knowledge Graph Analytics - ✅ Graph Insights : Connection analysis, relationship mapping - ✅ Content Statistic","default_branch":null,"files":null,"tree":[],"storefront":"/r/thinmanj","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/thinmanj/logseq-python-library/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}