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antirez/neural-redis

Neural networks module for Redis observed · 2026-08-28

github.com/antirez/neural-redis · C · BSD-3-Clause (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: 3627
  • days_rel: n/a
  • days_push: 2963
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2228 stars · 100 forks observed · 2026-08-28

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

A Redis loadable module (written in C) that implements feed-forward neural networks as a native Redis data type. It compresses data collection, training, and inference into a single in-server API with online training in background threads.

Use cases

  • train a neural network inside redis
  • simple classification and regression from user events
  • predict which ad or promotion converts best
  • online machine learning without a separate ML stack
  • retrain a model as new data arrives in redis

When to choose

  • you already run Redis and want lightweight, simple ML for small regression/classification tasks
  • you want training and inference co-located with your data store
  • you need fast-to-train fully connected networks with automatic normalization

When to avoid

  • you need deep learning, CNNs, or RNNs for vision or sequence tasks
  • you need an actively maintained project - the last release was 2018
  • you need GPU acceleration or state-of-the-art model architectures

Facets

library · maturity abandoned

machine-learning database plugin-system machine-learning databases artificial-intelligence c self-hosted redis-module feedforward-neural-networks rprop online-training classification regression linux macos

1 source

Member repositories

RepositoryRoleHealth v2
antirez/neural-redismain32

For agents

markdown · JSON · MCP: product_card(name="antirez/neural-redis")

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