Alternatives

Keras alternatives for AI agents.

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

Current skill

Keras

Deep Learning for humans

100
Quality
89
Trust
64K
Stars
#1

Pytorch Lightning

Similarity 157Trust 89Excellent 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

Darts

Similarity 146Trust 88Excellent 99

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
#3

Pyro

Similarity 146Trust 86Excellent 99

Deep universal probabilistic programming with Python and PyTorch

9.0K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add pyro-ppl/pyro
#4

Coremltools

Similarity 146Trust 89Excellent 100

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

5.4K starsSep 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add apple/coremltools
#5

Tensorflow

Similarity 142Trust 86Excellent 100

An Open Source Machine Learning Framework for Everyone

196K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/tensorflow
#6

Fastai

Similarity 142Trust 87Excellent 100

The fastai deep learning library

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

Onnxruntime

Similarity 142Trust 89Excellent 100

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

21K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add microsoft/onnxruntime
#8

Ray

Similarity 141Trust 89Excellent 100

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ray-project/ray
#9

Yolov5

Similarity 141Trust 87Excellent 100

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

58K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov5
#10

SpaCy

Similarity 141Trust 87Excellent 100

💫 Industrial-strength Natural Language Processing (NLP) in Python

34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy
#11

Pytorch

Similarity 140Trust 83Excellent 100

Tensors and Dynamic neural networks in Python with strong GPU acceleration

101K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/pytorch
#12

Stable Baselines3

Similarity 139Trust 89Excellent 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
#13

Wandb

Similarity 139Trust 90Excellent 100

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

11K starsJul 23, 2026 pushml-automationPythonMachine Learning
$ npx skills add wandb/wandb
#14

Autogluon

Similarity 139Trust 90Excellent 100

Fast and Accurate ML in 3 Lines of Code

11K starsSep 24, 2026 pushml-automationPythonMachine Learning
$ npx skills add autogluon/autogluon
#15

Ludwig

Similarity 139Trust 89Excellent 100

Low-code framework for building custom LLMs, neural networks, and other AI models

12K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ludwig-ai/ludwig
#16

Server

Similarity 139Trust 89Excellent 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

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 Keras 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.