# wubinzzu/NeuRec

Next RecSys Library

Repository: https://github.com/wubinzzu/NeuRec
Canonical: https://ross.abutalabs.com/products/neurec
Language: Python
License Family: other
Topics: recommender-systems, neural-networks, collaborative-filtering, deep-learning, tensorflow, variational-autoencoder, autoencoder, convolutional-neural-networks, adversarial-learning, sequential, gcn, social-network
Last push: 2023-03-24T22:42:26+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2746, "days_push": 1258, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1061, forks 216 (observed 2026-08-28T04:03:25.924947+00:00)

## What it is
NeuRec is an open-source Python library for recommender systems built on TensorFlow, offering 33 state-of-the-art neural recommendation models for general, social, and sequential recommendation tasks. It supports GPU acceleration, flexible configuration, and cross-platform use via Docker.

## Use cases
- build a neural collaborative filtering recommender
- compare state-of-the-art recommendation models
- implement next-item sequential recommendation
- train recommenders on GPU with fast evaluation
- experiment with social recommendation using graph networks

## When to choose
- you need many neural recommender baselines out of the box
- you want a TensorFlow-based recommendation research library
- you need general, social, or sequential recommendation in one framework

## When to avoid
- you need a production serving system rather than a research library
- you require a non-TensorFlow stack like PyTorch
- you need actively maintained releases or commercial support

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning
- domain: machine-learning, data-science
- platform: python, cross-platform
- tags: recommender-systems, collaborative-filtering, tensorflow, neural-networks, sequential-recommendation, social-recommendation, gpu, docker

## Member repositories
- wubinzzu/NeuRec (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:25.924947+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:56:53.064711+00:00, confidence not recorded.
  - readme: https://github.com/wubinzzu/NeuRec (fetched 2026-08-28T04:03:25.924947+00:00, sha 8310ccbbf8c7)
  - registry_pypi: https://pypi.org/pypi/neurec/json (fetched 2026-08-29T12:58:49.673023+00:00, sha ad1d2fab55bb)
- Data as of 2026-08-30T08:39:29.467469+00:00.