🚀 Excited to announce logseq-python 1.0.0a2 is now live on PyPI!
I'm thrilled to share the most comprehensive Python library for Logseq knowledge graphs - now production-ready and available for immediate installation.
🔧 Just Fixed: Critical import issues resolved - the package now works flawlessly from PyPI installation
📊 Complete Task Management: Full support for TODO states, priorities (A/B/C), deadlines, and workflow analytics
🧠 AI-Powered Analysis: 4 advanced analyzers for sentiment, topics, summaries, and content structure
🔗 8 Content Extractors: YouTube, Twitter, GitHub, PDF, academic papers, RSS feeds, and more
⚡ Developer Experience: 25+ fluent query methods, full type hints, async support, rich CLI tools
Whether you're in project management, academic research, software development, or knowledge work - this library transforms how you interact with your Logseq data programmatically.
# Example: Find all overdue high-priority tasks
client = LogseqClient("/path/to/logseq")
urgent_tasks = client.query().blocks()
.has_priority(Priority.A)
.has_deadline()
.execute()Knowledge management is evolving beyond manual note-taking. This library enables:
- Automated workflow analysis and productivity insights
- Intelligent content processing with AI-powered extractors
- Scalable knowledge graph analytics for teams and researchers
- Seamless integration between Logseq and Python data science workflows
pip install logseq-python==1.0.0a2🔗 PyPI: https://pypi.org/project/logseq-python/1.0.0a2/ 📚 GitHub: https://github.com/thinmanj/logseq-python-library
This alpha release focuses on creating a truly comprehensive solution. Community feedback and adoption will shape the roadmap toward our beta release.
What knowledge management challenges are you facing that could benefit from programmatic access to your notes and tasks?
#Python #LogSeq #KnowledgeManagement #ProductivityTools #OpenSource #DataScience #TaskManagement #API #SoftwareDevelopment