A
Activity
Measures recent development momentum — commit frequency, issue response time, and release cadence. Higher activity indicates continuous iteration.
Methodology & Inclusion Standards
Learn about the scoring methodology, inclusion criteria, and reference status model in AI Native Landscape.
Scoring Dimensions
Overall health is scored 0-100, calculated as a weighted sum of the following dimensions.
C
Community
Evaluates contributor count, PR merge speed, discussion volume, and ecosystem plugins/tools. Reflects community vitality.
Q
Impact
Assesses GitHub stars, forks, dependency graph, and external references. Measures real-world adoption and influence.
S
Sustainability
Analyzes maintenance history, core team stability, commercial backing, and long-term roadmap. Judges whether a project can sustain healthy growth.
Score Labels
≥90
Must Watch
Overall score ≥ 90 — outstanding performance across all dimensions.
≥80
Strong Recommendation
Overall score ≥ 80 — mature project with active community.
≥70
Worth Trying
Overall score ≥ 70 — promising project with room to grow.
≥60
Monitor Progress
Overall score ≥ 60 — early stage or showing volatility.
<60
Explore Carefully
Overall score < 60 — thorough testing recommended before adoption.
Inclusion Standards
All listed projects must meet the following baseline requirements.
- A valid GitHub repository and baseline project metadata are required.
- Bilingual descriptions are required for cross-language discoverability.
- Projects must map to stable category keys for long-term analytics.
- Priority goes to projects with practical engineering value, active maintenance, and verifiable ecosystem signals.
Reference Status
Reference status helps the community understand how much signal a listed project currently has. It is not incubation, certification, or foundation governance.
Newly listed or still-observed projects that need more community and maintenance signal before being treated as stronger references.
Projects with clear engineering value and enough community signal to be considered as candidates in the category.
Projects with strong visibility, adoption signal, or community activity in their category.
Project has stopped maintenance or is no longer active. Dimmed in the main view but data is retained for reference.
How to Submit a Project
If you find an open source AI project worth including, follow these steps.
- Confirm the project is not already listed (use the search function).
- Click "Submit Project" and fill in the GitHub issue form with project details.
- Maintainers will review the submission. Approved projects are added in the next update cycle.
How to Update a Project
To update project information (category changes, URL changes, etc.), follow these steps.
- Edit the YAML file under data/projects/ via a GitHub Pull Request.
- Run npm run validate before submitting to ensure correct data format.
- Changes take effect after maintainer review and approval.
How Projects Get Archived
A project may be archived for the following reasons.
- The project repository has been archived or deleted.
- No commits or releases for 6+ consecutive months.
- The project has explicitly announced end-of-life or recommends migration.
- Archived projects retain their data and can be restored to active status at any time.