Alternatives

Modelstore alternatives for AI agents.

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

Current skill

Modelstore

🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.

73
Quality
79
Trust
401
Stars
#1

Great Expectations

Similarity 132Trust 92Excellent 100

Always know what to expect from your data.

12K starsJun 13, 2026 pushml-automationPythonMLOps
$ npx skills add fivetran/great_expectations
#2

Pytorch Lightning

Similarity 127Trust 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
#3

Keras

Similarity 127Trust 92Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#4

Made With ML

Similarity 127Trust 89Excellent 100

Learn how to develop, deploy and iterate on production-grade ML applications.

48K starsMar 4, 2026 pushml-automationJupyter NotebookMLOps
$ npx skills add GokuMohandas/Made-With-ML
#5

Featuretools

Similarity 125Trust 90Excellent 100

An open source python library for automated feature engineering

7.7K starsJun 9, 2026 pushml-automationPythonMachine Learning
$ npx skills add alteryx/featuretools
#6

Agent Lightning

Similarity 124Trust 90Excellent 100

The absolute trainer to light up AI agents.

17K starsApr 29, 2026 pushml-automationPythonMLOps
$ npx skills add microsoft/agent-lightning
#7

Onnxruntime

Similarity 121Trust 93Excellent 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 120Trust 94Excellent 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 119Trust 92Excellent 100

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

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

Label Studio

Similarity 119Trust 93Excellent 100

Label Studio is a multi-type data labeling and annotation tool with standardized output format

28K starsJun 16, 2026 pushml-automationTypeScriptMLOps
$ npx skills add HumanSignal/label-studio
#11

SpaCy

Similarity 119Trust 90Excellent 100

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

34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy
#12

Onnx

Similarity 119Trust 92Excellent 100

Open standard for machine learning interoperability

21K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add onnx/onnx
#13

Stable Baselines3

Similarity 118Trust 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
#14

Ludwig

Similarity 118Trust 93Excellent 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
#15

Wandb

Similarity 118Trust 93Excellent 100

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

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

Kedro

Similarity 118Trust 93Excellent 100

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

11K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add kedro-org/kedro

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 Modelstore 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.