{"adoption": {"forks": 230, "observed_at": "2026-08-28T04:03:51.909007+00:00", "stars": 1173}, "canonical_url": "https://ross.abutalabs.com/products/batchgenerators", "card": {"archived": false, "artifact_type": "library", "description": "A framework for data augmentation for 2D and 3D image classification and segmentation", "domain": ["machine-learning", "deep-learning", "computer-vision", "image-processing", "healthcare"], "enriched": true, "function": ["machine-learning", "image-processing", "data-generation"], "health_score": 73, "homepage": null, "language": "Jupyter Notebook", "license": "Apache-2.0", "license_family": "permissive", "maturity": "stable", "member_repos": ["MIC-DKFZ/batchgenerators"], "name": "MIC-DKFZ/batchgenerators", "platform": ["python", "cross-platform"], "pushed_at": "2026-06-16T11:41:24+00:00", "repo": "MIC-DKFZ/batchgenerators", "stars": 1173, "tags": ["data-augmentation", "medical-imaging", "3d-images", "segmentation", "multithreaded-dataloader"], "topics": [], "urls": [], "use_cases": ["augment 3D medical images for segmentation training", "apply elastic deformations and rotations to image batches", "simulate misalignment between multi-modal image channels", "build a multithreaded data loading pipeline for deep learning", "add Gaussian and Rician noise to training images", "augment 2D images for classification models"], "what_it_is": "A Python framework for data augmentation of 2D and 3D images, developed by the German Cancer Research Center for medical image classification and segmentation. It provides spatial, color, and noise transforms composable via a pipeline, plus a multithreaded augmenter for data loading.", "when_to_avoid": ["you only need standard 2D photo augmentations for natural images", "you want a framework with GPU-side augmentation", "you need a general-purpose data loading library outside image augmentation"], "when_to_choose": ["you train models on 2D or 3D images, especially medical imaging", "you need augmentations that work on volumetric (3D) data", "you want composable transforms with a multithreaded batch loader"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/batchgenerators", "repo": "MIC-DKFZ/batchgenerators", "role": "main", "score": 71}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:51.909007+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:28:20.625125+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "665b2a9a146a6da88652890ce88c1bc38c31cca632add2c2c57f764eb65918a1", "fetched_at": "2026-08-28T04:03:51.909007+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MIC-DKFZ/batchgenerators"}, {"content_hash": "dd2edaeed42342a6ad2be12375ded305042b4ac80b6710768d64ea513a24b2a4", "fetched_at": "2026-08-29T12:33:41.445540+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/batchgenerators/json"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:51.909007+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:28:20.625125+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "665b2a9a146a6da88652890ce88c1bc38c31cca632add2c2c57f764eb65918a1", "fetched_at": "2026-08-28T04:03:51.909007+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MIC-DKFZ/batchgenerators"}, {"content_hash": "dd2edaeed42342a6ad2be12375ded305042b4ac80b6710768d64ea513a24b2a4", "fetched_at": "2026-08-29T12:33:41.445540+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/batchgenerators/json"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:28:20.625125+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "665b2a9a146a6da88652890ce88c1bc38c31cca632add2c2c57f764eb65918a1", "fetched_at": "2026-08-28T04:03:51.909007+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MIC-DKFZ/batchgenerators"}, {"content_hash": "dd2edaeed42342a6ad2be12375ded305042b4ac80b6710768d64ea513a24b2a4", "fetched_at": "2026-08-29T12:33:41.445540+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/batchgenerators/json"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:51.909007+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:51.909007+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:51.909007+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:28:20.625125+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "665b2a9a146a6da88652890ce88c1bc38c31cca632add2c2c57f764eb65918a1", "fetched_at": "2026-08-28T04:03:51.909007+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MIC-DKFZ/batchgenerators"}, {"content_hash": "dd2edaeed42342a6ad2be12375ded305042b4ac80b6710768d64ea513a24b2a4", "fetched_at": "2026-08-29T12:33:41.445540+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/batchgenerators/json"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:51.909007+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:51.909007+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:28:20.625125+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "665b2a9a146a6da88652890ce88c1bc38c31cca632add2c2c57f764eb65918a1", "fetched_at": "2026-08-28T04:03:51.909007+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MIC-DKFZ/batchgenerators"}, {"content_hash": "dd2edaeed42342a6ad2be12375ded305042b4ac80b6710768d64ea513a24b2a4", "fetched_at": "2026-08-29T12:33:41.445540+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/batchgenerators/json"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:51.909007+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:51.909007+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:51.909007+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:28:20.625125+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "665b2a9a146a6da88652890ce88c1bc38c31cca632add2c2c57f764eb65918a1", "fetched_at": "2026-08-28T04:03:51.909007+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MIC-DKFZ/batchgenerators"}, {"content_hash": "dd2edaeed42342a6ad2be12375ded305042b4ac80b6710768d64ea513a24b2a4", "fetched_at": "2026-08-29T12:33:41.445540+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/batchgenerators/json"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:51.909007+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:51.909007+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:28:20.625125+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "665b2a9a146a6da88652890ce88c1bc38c31cca632add2c2c57f764eb65918a1", "fetched_at": "2026-08-28T04:03:51.909007+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MIC-DKFZ/batchgenerators"}, {"content_hash": "dd2edaeed42342a6ad2be12375ded305042b4ac80b6710768d64ea513a24b2a4", "fetched_at": "2026-08-29T12:33:41.445540+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/batchgenerators/json"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:28:20.625125+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "665b2a9a146a6da88652890ce88c1bc38c31cca632add2c2c57f764eb65918a1", "fetched_at": "2026-08-28T04:03:51.909007+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MIC-DKFZ/batchgenerators"}, {"content_hash": "dd2edaeed42342a6ad2be12375ded305042b4ac80b6710768d64ea513a24b2a4", "fetched_at": "2026-08-29T12:33:41.445540+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/batchgenerators/json"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:28:20.625125+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "665b2a9a146a6da88652890ce88c1bc38c31cca632add2c2c57f764eb65918a1", "fetched_at": "2026-08-28T04:03:51.909007+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MIC-DKFZ/batchgenerators"}, {"content_hash": "dd2edaeed42342a6ad2be12375ded305042b4ac80b6710768d64ea513a24b2a4", "fetched_at": "2026-08-29T12:33:41.445540+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/batchgenerators/json"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:28:20.625125+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "665b2a9a146a6da88652890ce88c1bc38c31cca632add2c2c57f764eb65918a1", "fetched_at": "2026-08-28T04:03:51.909007+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MIC-DKFZ/batchgenerators"}, {"content_hash": "dd2edaeed42342a6ad2be12375ded305042b4ac80b6710768d64ea513a24b2a4", "fetched_at": "2026-08-29T12:33:41.445540+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/batchgenerators/json"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 87, "longevity": 100, "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": 3232, "days_push": 78, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 71, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}