This repository is the canonical data source for the CNCF Cloud Native Landscape, a curated directory of cloud-native projects and products. It contains a single YAML file (landscape.yml) defining thousands of entries with metadata (name, category, logo reference, URLs, crunchbase identifier) and a large collection of SVG logos. There is no application code, pipeline, or notebook. The data is manually maintained via pull requests and validated by a CI workflow that checks the YAML structure. The landscape serves as a reference map for the cloud-native ecosystem and is consumed by the landscape2 rendering tool to generate the interactive website at landscape.cncf.io. Despite being a data repository, it is not a research or analytics project; it is a structured dataset with no transformations, modeling, or analytical outputs.
This repository is a comprehensive data research project tracking the open-source Agentic AI ecosystem. It ingests data from GitHub (metadata, READMEs, stargazers), ClickHouse (OpenDigger OpenRank metrics), HuggingFace Hub (model metadata, downloads), and usage platforms like OpenRouter and ZenMux. The data is transformed through a series of Python scripts that enrich, classify, and score projects and models, producing weekly trend reports, landscape snapshots, case studies, and presentation materials. The core analytical framework uses OpenRank-based vitality scoring, a keyword taxonomy for project classification, and composite model rankings. Outputs include markdown reports, SVG charts, PPTX decks, and curated CSV datasets. While the repository is primarily a data analysis and reporting hub, it also contains agent skill definitions and change management workflows (OpenSpec), giving it a hybrid character. The codebase is actively maintained with weekly automated pipelines, but reproducibility is limited by hardcoded paths, missing Python dependency pinning, and reliance on external APIs with changing access patterns.