{"adoption": {"forks": 678, "observed_at": "2026-08-28T04:09:11.176066+00:00", "stars": 5143}, "canonical_url": "https://ross.abutalabs.com/products/sketch-code", "card": {"archived": false, "artifact_type": "library", "description": "Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.", "domain": ["deep-learning", "machine-learning", "web-development", "computer-vision"], "enriched": true, "function": ["machine-learning", "deep-learning", "image-processing", "nlp"], "health_score": 78, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "abandoned", "member_repos": ["ashnkumar/sketch-code"], "name": "ashnkumar/sketch-code", "platform": ["python"], "pushed_at": "2026-08-06T20:19:49+00:00", "repo": "ashnkumar/sketch-code", "stars": 5143, "tags": ["image-captioning", "html-generation", "keras", "tensorflow", "wireframe-to-code", "proof-of-concept", "unmaintained"], "topics": ["keras", "tensorflow", "image-processing", "deep-learning", "augmentation", "html-generation", "image-captioning"], "urls": [], "use_cases": ["convert hand-drawn website mockups to html", "generate html from wireframe sketches", "image captioning model for code generation", "experiment with sketch-to-code deep learning", "reproduce pix2code-style html generation"], "what_it_is": "A Keras/TensorFlow deep learning model that converts hand-drawn website wireframes into HTML code using an image captioning architecture (CNN encoder, LSTM decoder). Built in 2018 as a proof-of-concept based on pix2code, it is no longer maintained and targets TensorFlow 1.x.", "when_to_avoid": ["production sketch-to-code conversion on real-world drawings", "modern TensorFlow/Keras environments (targets TF 1.x)", "projects needing maintained or generalizable models - modern vision-language models handle this zero-shot"], "when_to_choose": ["studying historical image-captioning approaches to code generation", "working with wireframes closely resembling its synthetic training dataset", "learning how CNN+LSTM captioning architectures were adapted for HTML output"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/sketch-code", "repo": "ashnkumar/sketch-code", "role": "main", "score": 75}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:09:11.176066+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T18:01:59.115693+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7fcb46c987528d4fb171bc4890bcda43019247fb53e73e131aa4d2237de1a4fc", "fetched_at": "2026-08-28T04:09:11.176066+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ashnkumar/sketch-code"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:09:11.176066+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T18:01:59.115693+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7fcb46c987528d4fb171bc4890bcda43019247fb53e73e131aa4d2237de1a4fc", "fetched_at": "2026-08-28T04:09:11.176066+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ashnkumar/sketch-code"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T18:01:59.115693+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7fcb46c987528d4fb171bc4890bcda43019247fb53e73e131aa4d2237de1a4fc", "fetched_at": "2026-08-28T04:09:11.176066+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ashnkumar/sketch-code"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:09:11.176066+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:09:11.176066+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:09:11.176066+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T18:01:59.115693+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7fcb46c987528d4fb171bc4890bcda43019247fb53e73e131aa4d2237de1a4fc", "fetched_at": "2026-08-28T04:09:11.176066+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ashnkumar/sketch-code"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:09:11.176066+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:09:11.176066+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T18:01:59.115693+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7fcb46c987528d4fb171bc4890bcda43019247fb53e73e131aa4d2237de1a4fc", "fetched_at": "2026-08-28T04:09:11.176066+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ashnkumar/sketch-code"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:09:11.176066+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:09:11.176066+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:09:11.176066+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T18:01:59.115693+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7fcb46c987528d4fb171bc4890bcda43019247fb53e73e131aa4d2237de1a4fc", "fetched_at": "2026-08-28T04:09:11.176066+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ashnkumar/sketch-code"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:09:11.176066+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:09:11.176066+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T18:01:59.115693+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7fcb46c987528d4fb171bc4890bcda43019247fb53e73e131aa4d2237de1a4fc", "fetched_at": "2026-08-28T04:09:11.176066+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ashnkumar/sketch-code"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T18:01:59.115693+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7fcb46c987528d4fb171bc4890bcda43019247fb53e73e131aa4d2237de1a4fc", "fetched_at": "2026-08-28T04:09:11.176066+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ashnkumar/sketch-code"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T18:01:59.115693+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7fcb46c987528d4fb171bc4890bcda43019247fb53e73e131aa4d2237de1a4fc", "fetched_at": "2026-08-28T04:09:11.176066+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ashnkumar/sketch-code"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T18:01:59.115693+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7fcb46c987528d4fb171bc4890bcda43019247fb53e73e131aa4d2237de1a4fc", "fetched_at": "2026-08-28T04:09:11.176066+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ashnkumar/sketch-code"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 96, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3148, "days_push": 27, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 75, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}