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🚀 logseq-python 1.0.0a2 - Now Live on PyPI!

The most comprehensive Python library for Logseq just got even better! After fixing critical import issues, we're excited to announce version 1.0.0a2 is now available on PyPI.

📦 Install Today

pip install logseq-python==1.0.0a2
# or get the latest alpha
pip install --pre logseq-python

🔧 What's Fixed in 1.0.0a2

  • ✅ Critical Import Fixes: Resolved package import errors that prevented v1.0.0a1 usage
  • ✅ PyPI Ready: Clean installation and immediate usability
  • ✅ Builder System: Fixed parser and builder import issues
  • ✅ Production Ready: Successfully tested import chain from PyPI

✨ Full Feature Set (from 1.0.0a1)

🎯 Complete Task Management

  • All task states: TODO, DOING, DONE, LATER, NOW, WAITING, CANCELLED
  • Priority levels (A, B, C) with filtering
  • SCHEDULED & DEADLINE support with overdue detection
  • Workflow analytics and productivity metrics

🧠 Advanced Analysis Engine

  • 4 AI-Powered Analyzers: Sentiment, Topics, Summary, Structure
  • 8 Content Extractors: URL, YouTube, Twitter, GitHub, PDF, RSS, Academic Papers
  • 3 Intelligent Generators: Summary pages, insights, task analysis
  • Pipeline Framework: Step-by-step processing with error recovery

💻 Developer-Friendly

  • 25+ Query Methods: Fluent API for complex searches
  • Rich CLI Tools: Complete command-line interface
  • Type Hints: Full typing support for better IDE experience
  • Async Support: Performance-optimized async/await patterns

🎓 Real-World Examples

Task Analytics:

from logseq_py import LogseqClient, TaskState, Priority

client = LogseqClient("/path/to/logseq")
graph = client.load_graph()

# Find overdue high-priority tasks
urgent = client.query().blocks().has_priority(Priority.A).has_deadline().execute()
workflow = graph.get_workflow_summary()

Content Analysis:

# Analyze your coding activity
code_blocks = client.query().blocks().is_code_block(language="python").execute()
math_content = client.query().blocks().has_math_content().execute()
insights = graph.get_graph_insights()

Knowledge Graph:

# Find your knowledge hubs
namespaces = graph.get_all_namespaces()
connected_pages = insights['most_connected_pages']

🎯 Perfect For

  • 📊 Project Management: Task tracking with deadlines and priorities
  • 🔬 Academic Research: LaTeX parsing and citation networks
  • 💻 Software Development: Code documentation and bug tracking
  • 📚 Knowledge Management: Building comprehensive knowledge graphs
  • 🎨 Creative Work: Organizing projects with visual whiteboards

🔗 Links

🙏 Community

This is an alpha release - we'd love your feedback!

TL;DR: Production-ready Python library for Logseq with complete task management, AI analysis, content extraction, and knowledge graph analytics. Fixed import issues, now working perfectly from PyPI!

pip install logseq-python==1.0.0a2