# Coder-Yu/QRec

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Repository: https://github.com/Coder-Yu/QRec
Canonical: https://ross.abutalabs.com/products/qrec
Language: Python
License Family: other
Topics: recommender-system, social-recommendation, deep-learning, tensorflow, algorithm
Last push: 2023-12-26T19:46:15+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3630, "days_push": 981, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1638, forks 409 (observed 2026-08-28T04:05:15.029072+00:00)

## What it is
QRec is a Python framework built on TensorFlow 1.x for quickly implementing and evaluating recommender system models. It ships with many state-of-the-art recommendation algorithms (e.g., LightGCN, NGCF, SGL, SimGCL) behind a lightweight, configuration-driven interface.

## Use cases
- implement and benchmark recommender system models
- reproduce state-of-the-art collaborative filtering papers
- evaluate recommendation algorithms on standard datasets
- experiment with graph-based and social recommendation models
- compare classical and deep learning recommenders

## When to choose
- you need a ready-made collection of recommendation models for research or benchmarking
- you want a lightweight, config-driven framework for quick recommender experiments
- you are working with TensorFlow 1.x and Python 3.7

## When to avoid
- you need a production recommendation system at scale
- you require modern TensorFlow 2.x or PyTorch (consider the authors' SELFRec instead)
- you need long-term support, an official license, or active maintenance

## Facets
- artifact type: framework
- maturity: maintenance
- function: machine-learning, deep-learning, data-science
- domain: machine-learning, data-science
- platform: python, cross-platform, windows
- tags: recommender-systems, tensorflow, collaborative-filtering, social-recommendation, graph-neural-networks, research, algorithms, linux, macos

## Member repositories
- Coder-Yu/QRec (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:15.029072+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 2026-08-30T03:46:32.289916+00:00, confidence not recorded.
  - readme: https://github.com/Coder-Yu/QRec (fetched 2026-08-28T04:05:15.029072+00:00, sha 5b4cc7239df5)
- Data as of 2026-08-30T08:39:29.467469+00:00.