Alternatives

Surprise alternatives for AI agents.

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

Current skill

Surprise

A Python scikit for building and analyzing recommender systems

100
Quality
94
Trust
6.8K
Stars
#1

Implicit

Similarity 137Trust 91Excellent 100

Fast Python Collaborative Filtering for Implicit Feedback Datasets

3.8K starsMay 8, 2026 pushml-automationPythonMachine Learning
$ npx skills add benfred/implicit
#2

Reco Papers

Similarity 135Trust 88Excellent 89

Classic papers and resources on recommendation

3.6K starsOct 16, 2025 pushml-automationPythonMachine Learning
$ npx skills add wzhe06/Reco-papers
#3

Pytorch Lightning

Similarity 134Trust 98Excellent 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
#4

Keras

Similarity 134Trust 96Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#5

Pytorch

Similarity 133Trust 91Excellent 100

Tensors and Dynamic neural networks in Python with strong GPU acceleration

101K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/pytorch
#6

Vision

Similarity 133Trust 96Excellent 100

Datasets, Transforms and Models specific to Computer Vision

18K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/vision
#7

Stable Baselines3

Similarity 133Trust 98Excellent 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
#8

Lightfm

Similarity 133Trust 86Strong 78

A Python implementation of LightFM, a hybrid recommendation algorithm.

5.1K starsJul 24, 2024 pushml-automationPythonMachine Learning
$ npx skills add lyst/lightfm
#9

ChatterBot

Similarity 133Trust 96Excellent 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
#10

Nltk

Similarity 132Trust 95Excellent 100

NLTK Source

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

Optuna

Similarity 132Trust 95Excellent 100

A hyperparameter optimization framework

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

Server

Similarity 132Trust 98Excellent 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
#13

Darts

Similarity 132Trust 97Excellent 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
#14

Kornia

Similarity 132Trust 95Excellent 100

🐍 Geometric Computer Vision Library for Spatial AI

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

Yolov3

Similarity 132Trust 95Excellent 100

Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite

11K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov3
#16

Cookiecutter Data Science

Similarity 132Trust 95Excellent 100

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

9.9K starsApr 9, 2026 pushml-automationPythonMachine Learning
$ npx skills add drivendataorg/cookiecutter-data-science

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 Surprise 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.