{"adoption": {"forks": 324, "observed_at": "2026-08-28T04:07:54.021939+00:00", "stars": 3293}, "canonical_url": "https://ross.abutalabs.com/products/vissl", "card": {"archived": true, "artifact_type": "library", "description": "VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.", "domain": ["computer-vision", "deep-learning", "machine-learning"], "enriched": true, "function": ["machine-learning", "deep-learning", "image-processing", "benchmarking"], "health_score": 10, "homepage": "https://vissl.ai", "language": "Jupyter Notebook", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["facebookresearch/vissl"], "name": "facebookresearch/vissl", "platform": ["python"], "pushed_at": "2024-03-03T01:41:37+00:00", "repo": "facebookresearch/vissl", "stars": 3293, "tags": ["self-supervised-learning", "pytorch", "computer-vision", "representation-learning", "simclr", "moco", "swav", "dino", "facebook-research", "vision-transformers", "gpu", "linux", "docker"], "topics": [], "urls": [], "use_cases": ["train self-supervised image models like SimCLR or MoCo", "reproduce SOTA self-supervised learning research results", "benchmark pretrained vision representations with linear classification or nearest neighbor tasks", "pretrain vision transformers on large image datasets", "evaluate embeddings for low-shot classification and object detection", "scale self-supervised training across multiple GPUs and nodes"], "what_it_is": "VISSL is Facebook AI Research's extensible, modular and scalable PyTorch library for state-of-the-art self-supervised learning with images. It provides reproducible reference implementations of methods like SimCLR, MoCo, SwAV, PIRL and DINO, plus benchmark tasks for evaluating learned representations.", "when_to_avoid": ["you need supervised-only training without self-supervision features", "you work outside image/vision domains", "you need a lightweight minimal solution rather than a full research framework", "you require frequent updates - the project's latest release was March 2024"], "when_to_choose": ["you need reference implementations of many SSL methods in one framework", "you want reproducible benchmarks for evaluating visual representations", "you need multi-GPU/multi-node scaling with FP16 and FSDP support", "you want to build on or extend modular SSL components in PyTorch"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/vissl", "repo": "facebookresearch/vissl", "role": "main", "score": 10}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:54.021939+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:22:44.476826+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "caedebc18958508db429dfd547da48396591c537ce7b688c79c0ff9954384ad7", "fetched_at": "2026-08-28T04:07:54.021939+00:00", "kind": "readme", "missing": false, "url": "https://github.com/facebookresearch/vissl"}, {"content_hash": "21412d1d828306040904fbdefba5d2c0152cd39eadf8919e57b58e92ddb3a8f8", "fetched_at": "2026-08-29T09:35:45.596449+00:00", "kind": "homepage", "missing": false, "url": "https://vissl.ai"}, {"content_hash": "efc8e5c56c129cbbf49ef204f6ad208a147d7c7d1c8c736bb07498703cf9525c", "fetched_at": "2026-08-29T09:35:45.598992+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/vissl/json"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:54.021939+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:22:44.476826+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "caedebc18958508db429dfd547da48396591c537ce7b688c79c0ff9954384ad7", "fetched_at": "2026-08-28T04:07:54.021939+00:00", "kind": "readme", "missing": false, "url": "https://github.com/facebookresearch/vissl"}, {"content_hash": "21412d1d828306040904fbdefba5d2c0152cd39eadf8919e57b58e92ddb3a8f8", "fetched_at": "2026-08-29T09:35:45.596449+00:00", "kind": "homepage", "missing": false, "url": "https://vissl.ai"}, {"content_hash": "efc8e5c56c129cbbf49ef204f6ad208a147d7c7d1c8c736bb07498703cf9525c", "fetched_at": "2026-08-29T09:35:45.598992+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/vissl/json"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:22:44.476826+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "caedebc18958508db429dfd547da48396591c537ce7b688c79c0ff9954384ad7", "fetched_at": "2026-08-28T04:07:54.021939+00:00", "kind": "readme", "missing": false, "url": "https://github.com/facebookresearch/vissl"}, {"content_hash": "21412d1d828306040904fbdefba5d2c0152cd39eadf8919e57b58e92ddb3a8f8", "fetched_at": "2026-08-29T09:35:45.596449+00:00", "kind": "homepage", "missing": false, "url": "https://vissl.ai"}, {"content_hash": "efc8e5c56c129cbbf49ef204f6ad208a147d7c7d1c8c736bb07498703cf9525c", "fetched_at": "2026-08-29T09:35:45.598992+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/vissl/json"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:54.021939+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:54.021939+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:54.021939+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:22:44.476826+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "caedebc18958508db429dfd547da48396591c537ce7b688c79c0ff9954384ad7", "fetched_at": "2026-08-28T04:07:54.021939+00:00", "kind": "readme", "missing": false, "url": "https://github.com/facebookresearch/vissl"}, {"content_hash": "21412d1d828306040904fbdefba5d2c0152cd39eadf8919e57b58e92ddb3a8f8", "fetched_at": "2026-08-29T09:35:45.596449+00:00", "kind": "homepage", "missing": false, "url": "https://vissl.ai"}, {"content_hash": "efc8e5c56c129cbbf49ef204f6ad208a147d7c7d1c8c736bb07498703cf9525c", "fetched_at": "2026-08-29T09:35:45.598992+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/vissl/json"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:54.021939+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:54.021939+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:22:44.476826+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "caedebc18958508db429dfd547da48396591c537ce7b688c79c0ff9954384ad7", "fetched_at": "2026-08-28T04:07:54.021939+00:00", "kind": "readme", "missing": false, "url": "https://github.com/facebookresearch/vissl"}, {"content_hash": "21412d1d828306040904fbdefba5d2c0152cd39eadf8919e57b58e92ddb3a8f8", "fetched_at": "2026-08-29T09:35:45.596449+00:00", "kind": "homepage", "missing": false, "url": "https://vissl.ai"}, {"content_hash": "efc8e5c56c129cbbf49ef204f6ad208a147d7c7d1c8c736bb07498703cf9525c", "fetched_at": "2026-08-29T09:35:45.598992+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/vissl/json"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:54.021939+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:54.021939+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:54.021939+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:22:44.476826+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "caedebc18958508db429dfd547da48396591c537ce7b688c79c0ff9954384ad7", "fetched_at": "2026-08-28T04:07:54.021939+00:00", "kind": "readme", "missing": false, "url": "https://github.com/facebookresearch/vissl"}, {"content_hash": "21412d1d828306040904fbdefba5d2c0152cd39eadf8919e57b58e92ddb3a8f8", "fetched_at": "2026-08-29T09:35:45.596449+00:00", "kind": "homepage", "missing": false, "url": "https://vissl.ai"}, {"content_hash": "efc8e5c56c129cbbf49ef204f6ad208a147d7c7d1c8c736bb07498703cf9525c", "fetched_at": "2026-08-29T09:35:45.598992+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/vissl/json"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:54.021939+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:54.021939+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:22:44.476826+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "caedebc18958508db429dfd547da48396591c537ce7b688c79c0ff9954384ad7", "fetched_at": "2026-08-28T04:07:54.021939+00:00", "kind": "readme", "missing": false, "url": "https://github.com/facebookresearch/vissl"}, {"content_hash": "21412d1d828306040904fbdefba5d2c0152cd39eadf8919e57b58e92ddb3a8f8", "fetched_at": "2026-08-29T09:35:45.596449+00:00", "kind": "homepage", "missing": false, "url": "https://vissl.ai"}, {"content_hash": "efc8e5c56c129cbbf49ef204f6ad208a147d7c7d1c8c736bb07498703cf9525c", "fetched_at": "2026-08-29T09:35:45.598992+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/vissl/json"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:22:44.476826+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "caedebc18958508db429dfd547da48396591c537ce7b688c79c0ff9954384ad7", "fetched_at": "2026-08-28T04:07:54.021939+00:00", "kind": "readme", "missing": false, "url": "https://github.com/facebookresearch/vissl"}, {"content_hash": "21412d1d828306040904fbdefba5d2c0152cd39eadf8919e57b58e92ddb3a8f8", "fetched_at": "2026-08-29T09:35:45.596449+00:00", "kind": "homepage", "missing": false, "url": "https://vissl.ai"}, {"content_hash": "efc8e5c56c129cbbf49ef204f6ad208a147d7c7d1c8c736bb07498703cf9525c", "fetched_at": "2026-08-29T09:35:45.598992+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/vissl/json"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:22:44.476826+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "caedebc18958508db429dfd547da48396591c537ce7b688c79c0ff9954384ad7", "fetched_at": "2026-08-28T04:07:54.021939+00:00", "kind": "readme", "missing": false, "url": "https://github.com/facebookresearch/vissl"}, {"content_hash": "21412d1d828306040904fbdefba5d2c0152cd39eadf8919e57b58e92ddb3a8f8", "fetched_at": "2026-08-29T09:35:45.596449+00:00", "kind": "homepage", "missing": false, "url": "https://vissl.ai"}, {"content_hash": "efc8e5c56c129cbbf49ef204f6ad208a147d7c7d1c8c736bb07498703cf9525c", "fetched_at": "2026-08-29T09:35:45.598992+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/vissl/json"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:22:44.476826+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "caedebc18958508db429dfd547da48396591c537ce7b688c79c0ff9954384ad7", "fetched_at": "2026-08-28T04:07:54.021939+00:00", "kind": "readme", "missing": false, "url": "https://github.com/facebookresearch/vissl"}, {"content_hash": "21412d1d828306040904fbdefba5d2c0152cd39eadf8919e57b58e92ddb3a8f8", "fetched_at": "2026-08-29T09:35:45.596449+00:00", "kind": "homepage", "missing": false, "url": "https://vissl.ai"}, {"content_hash": "efc8e5c56c129cbbf49ef204f6ad208a147d7c7d1c8c736bb07498703cf9525c", "fetched_at": "2026-08-29T09:35:45.598992+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/vissl/json"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 8}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["archived"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2337, "days_push": 914, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 10, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}