{"adoption": {"forks": 103, "observed_at": "2026-08-28T04:07:02.895820+00:00", "stars": 2590}, "canonical_url": "https://ross.abutalabs.com/products/omnisvg", "card": {"archived": false, "artifact_type": "library", "description": "[NeurIPS 2025] OmniSVG is the first family of end-to-end multimodal SVG generators that leverage pre-trained Vision-Language Models (VLMs), capable of generating complex and detailed SVGs, from simple icons to intricate anime characters.", "domain": ["artificial-intelligence", "machine-learning", "graphics", "image-processing"], "enriched": true, "function": ["machine-learning", "deep-learning", "image-processing", "data-generation"], "health_score": 62, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["OmniSVG/OmniSVG"], "name": "OmniSVG/OmniSVG", "platform": ["python"], "pushed_at": "2026-03-01T14:47:29+00:00", "repo": "OmniSVG/OmniSVG", "stars": 2590, "tags": ["svg-generation", "vision-language-model", "multimodal", "text-to-svg", "image-to-svg", "neurips-2025", "vector-graphics", "model-weights", "benchmark", "gpu", "linux"], "topics": [], "urls": [], "use_cases": ["generate svg icons from text prompts", "convert images into editable vector graphics", "create detailed anime character svgs", "generate scalable vector illustrations with ai", "benchmark multimodal svg generation models", "train custom svg generation models"], "what_it_is": "OmniSVG is a family of end-to-end multimodal SVG generation models built on pre-trained Vision-Language Models, released with inference code, model weights, training code, and the MMSVG/MMSVGBench datasets. It generates complex and detailed SVGs ranging from simple icons to intricate anime character illustrations.", "when_to_avoid": ["you need lightweight deterministic SVG conversion without GPU inference", "you only need simple raster-to-vector tracing rather than generative modeling", "you lack GPU resources for large multimodal model inference"], "when_to_choose": ["you need ai-generated or image-derived SVG vector graphics", "you want a research-grade multimodal SVG generator with open weights and datasets", "you need a benchmark for evaluating SVG generation models"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/omnisvg", "repo": "OmniSVG/OmniSVG", "role": "main", "score": 51}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:02.895820+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:22:19.688082+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d22a9a0deb00679e4cd3b243245a923c838cc89fa1db8879553ab4f16bc04568", "fetched_at": "2026-08-28T04:07:02.895820+00:00", "kind": "readme", "missing": false, "url": "https://github.com/OmniSVG/OmniSVG"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:02.895820+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:22:19.688082+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d22a9a0deb00679e4cd3b243245a923c838cc89fa1db8879553ab4f16bc04568", "fetched_at": "2026-08-28T04:07:02.895820+00:00", "kind": "readme", "missing": false, "url": "https://github.com/OmniSVG/OmniSVG"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:22:19.688082+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d22a9a0deb00679e4cd3b243245a923c838cc89fa1db8879553ab4f16bc04568", "fetched_at": "2026-08-28T04:07:02.895820+00:00", "kind": "readme", "missing": false, "url": "https://github.com/OmniSVG/OmniSVG"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:02.895820+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:02.895820+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:02.895820+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:22:19.688082+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d22a9a0deb00679e4cd3b243245a923c838cc89fa1db8879553ab4f16bc04568", "fetched_at": "2026-08-28T04:07:02.895820+00:00", "kind": "readme", "missing": false, "url": "https://github.com/OmniSVG/OmniSVG"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:02.895820+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:02.895820+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:22:19.688082+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d22a9a0deb00679e4cd3b243245a923c838cc89fa1db8879553ab4f16bc04568", "fetched_at": "2026-08-28T04:07:02.895820+00:00", "kind": "readme", "missing": false, "url": "https://github.com/OmniSVG/OmniSVG"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:02.895820+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:02.895820+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:02.895820+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:22:19.688082+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d22a9a0deb00679e4cd3b243245a923c838cc89fa1db8879553ab4f16bc04568", "fetched_at": "2026-08-28T04:07:02.895820+00:00", "kind": "readme", "missing": false, "url": "https://github.com/OmniSVG/OmniSVG"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:02.895820+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:02.895820+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:22:19.688082+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d22a9a0deb00679e4cd3b243245a923c838cc89fa1db8879553ab4f16bc04568", "fetched_at": "2026-08-28T04:07:02.895820+00:00", "kind": "readme", "missing": false, "url": "https://github.com/OmniSVG/OmniSVG"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:22:19.688082+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d22a9a0deb00679e4cd3b243245a923c838cc89fa1db8879553ab4f16bc04568", "fetched_at": "2026-08-28T04:07:02.895820+00:00", "kind": "readme", "missing": false, "url": "https://github.com/OmniSVG/OmniSVG"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:22:19.688082+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d22a9a0deb00679e4cd3b243245a923c838cc89fa1db8879553ab4f16bc04568", "fetched_at": "2026-08-28T04:07:02.895820+00:00", "kind": "readme", "missing": false, "url": "https://github.com/OmniSVG/OmniSVG"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:22:19.688082+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d22a9a0deb00679e4cd3b243245a923c838cc89fa1db8879553ab4f16bc04568", "fetched_at": "2026-08-28T04:07:02.895820+00:00", "kind": "readme", "missing": false, "url": "https://github.com/OmniSVG/OmniSVG"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 70, "longevity": 36, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 513, "days_push": 185, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 51, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}