RRepoGEO

REPOGEO REPORT · LITE

BindsNET/bindsnet

Default branch master · commit 34ee2920 · scanned 5/10/2026, 7:01:38 PM

GitHub: 1,673 stars · 347 forks

AI VISIBILITY SCORE
53 /100
Needs work
Category recall
1 / 2
Avg rank #9.0 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface BindsNET/bindsnet, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen README's opening statement to emphasize PyTorch-native efficiency

    Why:

    CURRENT
    A Python package used for simulating spiking neural networks (SNNs) on CPUs or GPUs using PyTorch `Tensor` functionality.

BindsNET is a spiking neural network simulation library geared towards the development of biologically inspired algorithms for machine learning.
    COPY-PASTE FIX
    BindsNET is a high-performance Python library for simulating spiking neural networks (SNNs) directly with PyTorch `Tensor` functionality, leveraging GPUs for efficient computation. It's designed for researchers and developers building biologically inspired machine learning and reinforcement learning algorithms.
  • highhomepage#2
    Add a homepage URL to the repository About section

    Why:

    COPY-PASTE FIX
    https://bindsnet-docs.readthedocs.io/
  • mediumtopics#3
    Add `neuromorphic-computing` and `computational-neuroscience` to repository topics

    Why:

    CURRENT
    dynamic, gpu-computing, machine-learning, neurons, pytorch, reinforcement-learning, simulation, snn, spiking-neural-networks, stdp, synapse
    COPY-PASTE FIX
    computational-neuroscience, dynamic, gpu-computing, machine-learning, neuromorphic-computing, neurons, pytorch, reinforcement-learning, simulation, snn, spiking-neural-networks, stdp, synapse

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
1 / 2
50% of queries surface BindsNET/bindsnet
Avg rank
#9.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
Lava
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Lava · recommended 2×
  2. Brian2lava · recommended 1×
  3. SNNTorch · recommended 1×
  4. SpikingJelly · recommended 1×
  5. Norse · recommended 1×
  • CATEGORY QUERY
    What library allows simulating spiking neural networks efficiently using PyTorch tensors?
    you: not recommended
    AI recommended (in order):
    1. Brian2lava
    2. SNNTorch
    3. SpikingJelly
    4. Norse
    5. SpyTorch
    6. Lava
    7. NeuPy

    AI recommended 7 alternatives but never named BindsNET/bindsnet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for biologically inspired machine learning with spiking neural networks and reinforcement learning.
    you: #9
    AI recommended (in order):
    1. Brian2
    2. Stable Baselines3
    3. RLlib
    4. Nengo
    5. NengoLoihi
    6. SpiNNaker
    7. sPyNNaker
    8. PyNN
    9. BindsNET ← you
    10. PyTorch
    11. Lava
    12. TensorFlow
    13. Ray RLlib
    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of BindsNET/bindsnet?
    pass
    AI named BindsNET/bindsnet explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts BindsNET/bindsnet in production, what risks or prerequisites should they evaluate first?
    pass
    AI named BindsNET/bindsnet explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo BindsNET/bindsnet solve, and who is the primary audience?
    pass
    AI named BindsNET/bindsnet explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of BindsNET/bindsnet. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/BindsNET/bindsnet.svg)](https://repogeo.com/en/r/BindsNET/bindsnet)
HTML
<a href="https://repogeo.com/en/r/BindsNET/bindsnet"><img src="https://repogeo.com/badge/BindsNET/bindsnet.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

BindsNET/bindsnet — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite