{"adoption": {"forks": 1864, "observed_at": "2026-08-28T04:11:17.014120+00:00", "stars": 16705}, "canonical_url": "https://ross.abutalabs.com/products/lingbot-map", "card": {"archived": false, "artifact_type": "library", "description": "A feed-forward 3D foundation model for reconstructing scenes from streaming data", "domain": ["computer-vision", "artificial-intelligence", "deep-learning", "robotics", "autonomous-vehicles"], "enriched": true, "function": ["machine-learning", "deep-learning", "computer-vision", "image-processing", "simulation"], "health_score": 79, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["Robbyant/lingbot-map"], "name": "Robbyant/lingbot-map", "platform": ["python"], "pushed_at": "2026-08-21T17:37:56+00:00", "repo": "Robbyant/lingbot-map", "stars": 16705, "tags": ["3d-reconstruction", "streaming-inference", "foundation-model", "slam", "transformer", "depth-estimation", "point-cloud", "kv-cache", "gpu", "linux"], "topics": [], "urls": [], "use_cases": ["reconstruct 3D scenes from streaming video", "run real-time 3D reconstruction on long sequences", "estimate camera trajectory and correct drift in video", "generate dense geometry from monocular or multi-view streams", "evaluate 3D reconstruction on KITTI or Oxford Spires benchmarks", "build mapping for robotics or autonomous navigation"], "what_it_is": "LingBot-Map is a feed-forward 3D foundation model that reconstructs scenes from streaming image data using a Geometric Context Transformer. It performs real-time streaming 3D reconstruction at roughly 20 FPS over sequences exceeding 10,000 frames, with paged KV cache attention for long-sequence stability.", "when_to_avoid": ["you need lightweight CPU-only inference, since the model targets GPU acceleration", "you need a full production SLAM system with loop closure and sensor fusion beyond visual reconstruction", "you need a mature stable release rather than a fast-moving research codebase"], "when_to_choose": ["you need feed-forward streaming 3D reconstruction rather than slow iterative optimization", "you process very long video sequences (thousands of frames) and need stable memory usage", "you want state-of-the-art reconstruction quality with real-time inference on GPU", "you need a permissively licensed (Apache-2.0) 3D foundation model with pretrained weights"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/lingbot-map", "repo": "Robbyant/lingbot-map", "role": "main", "score": 58}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:11:17.014120+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T17:04:47.305871+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d474e646c8103ac696a64eec01875bf2e6f4b80f9fe4020411ccf23ad002a03", "fetched_at": "2026-08-28T04:11:17.014120+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Robbyant/lingbot-map"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:11:17.014120+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T17:04:47.305871+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d474e646c8103ac696a64eec01875bf2e6f4b80f9fe4020411ccf23ad002a03", "fetched_at": "2026-08-28T04:11:17.014120+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Robbyant/lingbot-map"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T17:04:47.305871+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d474e646c8103ac696a64eec01875bf2e6f4b80f9fe4020411ccf23ad002a03", "fetched_at": "2026-08-28T04:11:17.014120+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Robbyant/lingbot-map"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:11:17.014120+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:11:17.014120+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:11:17.014120+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T17:04:47.305871+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d474e646c8103ac696a64eec01875bf2e6f4b80f9fe4020411ccf23ad002a03", "fetched_at": "2026-08-28T04:11:17.014120+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Robbyant/lingbot-map"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:11:17.014120+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:11:17.014120+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T17:04:47.305871+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d474e646c8103ac696a64eec01875bf2e6f4b80f9fe4020411ccf23ad002a03", "fetched_at": "2026-08-28T04:11:17.014120+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Robbyant/lingbot-map"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:11:17.014120+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:11:17.014120+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:11:17.014120+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T17:04:47.305871+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d474e646c8103ac696a64eec01875bf2e6f4b80f9fe4020411ccf23ad002a03", "fetched_at": "2026-08-28T04:11:17.014120+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Robbyant/lingbot-map"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:11:17.014120+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:11:17.014120+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T17:04:47.305871+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d474e646c8103ac696a64eec01875bf2e6f4b80f9fe4020411ccf23ad002a03", "fetched_at": "2026-08-28T04:11:17.014120+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Robbyant/lingbot-map"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T17:04:47.305871+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d474e646c8103ac696a64eec01875bf2e6f4b80f9fe4020411ccf23ad002a03", "fetched_at": "2026-08-28T04:11:17.014120+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Robbyant/lingbot-map"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T17:04:47.305871+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d474e646c8103ac696a64eec01875bf2e6f4b80f9fe4020411ccf23ad002a03", "fetched_at": "2026-08-28T04:11:17.014120+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Robbyant/lingbot-map"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T17:04:47.305871+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d474e646c8103ac696a64eec01875bf2e6f4b80f9fe4020411ccf23ad002a03", "fetched_at": "2026-08-28T04:11:17.014120+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Robbyant/lingbot-map"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 98, "longevity": 10, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "young"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 140, "days_push": 12, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 58, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}