{"adoption": {"forks": 347, "observed_at": "2026-08-28T04:05:23.849042+00:00", "stars": 1695}, "canonical_url": "https://ross.abutalabs.com/products/bindsnet", "card": {"archived": false, "artifact_type": "library", "description": "Simulation of spiking neural networks (SNNs) using PyTorch.", "domain": ["machine-learning", "deep-learning", "simulation"], "enriched": true, "function": ["machine-learning", "simulation", "deep-learning", "reinforcement-learning", "gpu-computing"], "health_score": 98, "homepage": null, "language": "Python", "license": "AGPL-3.0", "license_family": "copyleft", "maturity": "active", "member_repos": ["BindsNET/bindsnet"], "name": "BindsNET/bindsnet", "platform": ["python", "cross-platform"], "pushed_at": "2026-08-20T15:19:52+00:00", "repo": "BindsNET/bindsnet", "stars": 1695, "tags": ["spiking-neural-networks", "snn", "pytorch", "neuromorphic", "stdp", "biologically-inspired", "neuroscience", "gpu"], "topics": ["spiking-neural-networks", "gpu-computing", "pytorch", "machine-learning", "snn", "reinforcement-learning", "stdp", "dynamic", "neurons", "simulation", "synapse"], "urls": [], "use_cases": ["simulate spiking neural networks in Python", "train SNNs with STDP learning rules", "run neuromorphic-style experiments on GPU with PyTorch", "apply spiking networks to reinforcement learning environments", "prototype biologically inspired neural network algorithms", "convert datasets into spike encodings for SNN experiments"], "what_it_is": "BindsNET is a Python package for simulating spiking neural networks (SNNs) built on PyTorch tensor functionality, running on CPUs or GPUs. It targets research on biologically inspired machine learning algorithms, including STDP-based learning and reinforcement learning applications.", "when_to_avoid": ["you need production deep learning with conventional ANNs", "you want a high-level GUI or no-code SNN tool", "you target neuromorphic hardware deployment rather than simulation", "you need a stable, long-term-supported production library"], "when_to_choose": ["you need a PyTorch-based SNN simulator with GPU acceleration", "you are researching biologically plausible learning rules like STDP", "you want to experiment with spiking networks on RL tasks", "you need a flexible, code-first SNN framework for research"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/bindsnet", "repo": "BindsNET/bindsnet", "role": "main", "score": 84}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:23.849042+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:37:55.253968+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0b43119637c051321f47be51969bf060e60f01e2996038d34727d0ee37ce404d", "fetched_at": "2026-08-28T04:05:23.849042+00:00", "kind": "readme", "missing": false, "url": "https://github.com/BindsNET/bindsnet"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:23.849042+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:37:55.253968+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0b43119637c051321f47be51969bf060e60f01e2996038d34727d0ee37ce404d", "fetched_at": "2026-08-28T04:05:23.849042+00:00", "kind": "readme", "missing": false, "url": "https://github.com/BindsNET/bindsnet"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:37:55.253968+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0b43119637c051321f47be51969bf060e60f01e2996038d34727d0ee37ce404d", "fetched_at": "2026-08-28T04:05:23.849042+00:00", "kind": "readme", "missing": false, "url": "https://github.com/BindsNET/bindsnet"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:23.849042+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:23.849042+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:23.849042+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:37:55.253968+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0b43119637c051321f47be51969bf060e60f01e2996038d34727d0ee37ce404d", "fetched_at": "2026-08-28T04:05:23.849042+00:00", "kind": "readme", "missing": false, "url": "https://github.com/BindsNET/bindsnet"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:23.849042+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:23.849042+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:37:55.253968+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0b43119637c051321f47be51969bf060e60f01e2996038d34727d0ee37ce404d", "fetched_at": "2026-08-28T04:05:23.849042+00:00", "kind": "readme", "missing": false, "url": "https://github.com/BindsNET/bindsnet"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:23.849042+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:23.849042+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:23.849042+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:37:55.253968+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0b43119637c051321f47be51969bf060e60f01e2996038d34727d0ee37ce404d", "fetched_at": "2026-08-28T04:05:23.849042+00:00", "kind": "readme", "missing": false, "url": "https://github.com/BindsNET/bindsnet"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:23.849042+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:23.849042+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:37:55.253968+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0b43119637c051321f47be51969bf060e60f01e2996038d34727d0ee37ce404d", "fetched_at": "2026-08-28T04:05:23.849042+00:00", "kind": "readme", "missing": false, "url": "https://github.com/BindsNET/bindsnet"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:37:55.253968+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0b43119637c051321f47be51969bf060e60f01e2996038d34727d0ee37ce404d", "fetched_at": "2026-08-28T04:05:23.849042+00:00", "kind": "readme", "missing": false, "url": "https://github.com/BindsNET/bindsnet"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:37:55.253968+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0b43119637c051321f47be51969bf060e60f01e2996038d34727d0ee37ce404d", "fetched_at": "2026-08-28T04:05:23.849042+00:00", "kind": "readme", "missing": false, "url": "https://github.com/BindsNET/bindsnet"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:37:55.253968+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0b43119637c051321f47be51969bf060e60f01e2996038d34727d0ee37ce404d", "fetched_at": "2026-08-28T04:05:23.849042+00:00", "kind": "readme", "missing": false, "url": "https://github.com/BindsNET/bindsnet"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 98, "longevity": 100, "rhythm": 56}, "computed_at": "2026-09-03T02:39:23.370411+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3127, "days_push": 13, "days_rel": 80, "gap_med": 604, "n_releases_24m": 2}, "score": 84, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}