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Graphite Roadmap◈

Last Updated: 2026-07-13

Mission◈

Graphite is an in-memory graph engine for Python developers who treat graphs as a core part of their project. It provides a structured, schema-enforced graph database that runs entirely inside your Python process — with no separate service to install or manage.

Full project mission, target audience, and value proposition is available in Mission Statement

Guiding Principles◈

  • Simplicity in use: All core operations are available through a single engine object (graphite.engine()). More specialized operations (such as more advanced algorithms) will be accessible via submodules.
  • Reliable performance: Ideal scalability up to 500,000 nodes with acceptable response times.
  • Python-native: No external service dependencies, but with potential future extensibility for interaction via optional endpoints in standard distribution.
  • User-centric documentation: Every feature is demonstrated with concrete examples from the knowledge graph domain or equivalent relevant fields.

Development Focus Areas◈

  • Documentation & Release — Improving documentation and preparing for version 1.0 release
  • Storage Backend — Enhancing storage performance and security
  • Query Engine — Optimizing the query engine and adding indexes
  • API Extensibility — Optional capabilities like HTTP layer (for future consideration)
  • Advanced Graph Support — Support for undirected graphs, custom weights, and beyond
  • Tooling & Integration — CLI tool, relational database integration, and Jupyter plugin

Progress Tracking◈

For the complete task list, current status, and progress tracking of version 1.0, please refer to the following Issue:

🔗 [Tracker] Graphite 1.0 - #19

How to Contribute◈

New proposals, bug reports, and prioritization discussions are handled through Issues and Discussions in the GitHub repository.