Ross ROSS = Recommend OSS · open-source software intelligence for agents

jfkirk/tensorrec

A TensorFlow recommendation algorithm and framework in Python. observed · 2026-08-28

github.com/jfkirk/tensorrec · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3473
  • days_rel: n/a
  • days_push: 1199
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1299 stars · 220 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TensorRec is a Python framework built on TensorFlow for developing and customizing recommendation algorithms. It handles data manipulation, scoring, and ranking while letting users customize representation/embedding and loss functions.

Use cases

  • build a recommender system in Python
  • train collaborative filtering models with TensorFlow
  • customize embedding and loss functions for recommendations
  • rank items for users based on interaction data
  • evaluate recall at k for a recommendation model

When to choose

  • you need a TensorFlow-based recommendation framework with customizable loss and embedding functions
  • you want a simple pip-installable library for learning recommender systems
  • your project already uses TensorFlow 1.x

When to avoid

  • you need a maintained library - TensorRec is no longer under active development
  • you use TensorFlow 2.x or newer APIs
  • you need production-grade recommender systems with active community support

Facets

library · maturity abandoned

machine-learning machine-learning python recommender-system tensorflow collaborative-filtering ranking recommendation-systems

2 sources

Member repositories

RepositoryRoleHealth v2
jfkirk/tensorrecmain32

For agents

markdown · JSON · MCP: product_card(name="jfkirk/tensorrec")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem