Alternatives

Spikingjelly alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

99
Quality
87
Trust
2.0K
Stars
#1

Pytorch Lightning

Similarity 157Trust 93Excellent 100

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

31K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add Lightning-AI/pytorch-lightning
#2

Keras

Similarity 149Trust 92Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#3

Darts

Similarity 147Trust 92Excellent 100

A python library for user-friendly forecasting and anomaly detection on time series.

9.4K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add unit8co/darts
#4

Pyro

Similarity 147Trust 91Excellent 100

Deep universal probabilistic programming with Python and PyTorch

9.0K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add pyro-ppl/pyro
#5

Bitsandbytes

Similarity 147Trust 90Excellent 100

Accessible large language models via k-bit quantization for PyTorch.

8.3K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add bitsandbytes-foundation/bitsandbytes
#6

Fastai

Similarity 143Trust 90Excellent 100

The fastai deep learning library

28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastai
#7

Yolov5

Similarity 141Trust 92Excellent 100

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

58K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov5
#8

Pytorch

Similarity 141Trust 88Excellent 100

Tensors and Dynamic neural networks in Python with strong GPU acceleration

101K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/pytorch
#9

Vision

Similarity 140Trust 92Excellent 100

Datasets, Transforms and Models specific to Computer Vision

18K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/vision
#10

Learning

Similarity 140Trust 89Excellent 100

A log of things I'm learning

6.9K starsMay 31, 2026 pushml-automationMachine LearningClaude Code
$ npx skills add amitness/learning
#11

Stable Baselines3

Similarity 140Trust 93Excellent 100

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

13K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add DLR-RM/stable-baselines3
#12

Nltk

Similarity 140Trust 92Excellent 100

NLTK Source

15K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add nltk/nltk
#13

Optuna

Similarity 140Trust 92Excellent 100

A hyperparameter optimization framework

14K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add optuna/optuna
#14

ChatterBot

Similarity 140Trust 91Excellent 100

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

14K starsMar 24, 2026 pushml-automationPythonMachine Learning
$ npx skills add gunthercox/ChatterBot
#15

Server

Similarity 140Trust 93Excellent 100

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

11K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add triton-inference-server/server
#16

Yolov3

Similarity 139Trust 92Excellent 100

Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite

11K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov3

How to choose

When should you switch?

Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Spikingjelly if it already passes your workflow test and repository review.

Next step

Compare top candidates side by side

Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.