{"data":{"full_name":"OBA-Research/VAAS","name":"VAAS","description":"VAAS is an inference-first, research-driven library for image integrity analysis. It integrates Vision Transformer Attention Mechanisms with patch-level self-consistency analysis to enable fine-grained localization and detection of visual inconsistencies across diverse image analysis tasks.","stars":25.0,"forks":3.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"clip-vision-language","last_pushed_at":"2026-02-26T14:08:19+00:00","pypi_package":"vaas","npm_package":null,"downloads_monthly":326.0,"dependency_count":7.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":10.0,"adoption_score":13.0,"maturity_score":18.0,"community_score":10.0,"quality_score":51.0,"quality_tier":"established","risk_flags":"[]"},"meta":{"timestamp":"2026-04-07T06:59:22.014231+00:00"}}