Alternatives

Maestro alternatives for AI agents.

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

Current skill

Maestro

Maestro: Netflix’s Workflow Orchestrator

100
Quality
93
Trust
3.8K
Stars
#1

Argo Workflows

Similarity 135Trust 95Excellent 100

Workflow Engine for Kubernetes

17K starsJun 15, 2026 pushml-automationGoMachine Learning
$ npx skills add argoproj/argo-workflows
#2

Kedro

Similarity 126Trust 98Excellent 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
#3

Mage AI

Similarity 125Trust 94Excellent 100

🧙 Build, run, and manage data pipelines for integrating and transforming data.

8.8K starsJun 9, 2026 pushml-automationPythonMachine Learning
$ npx skills add mage-ai/mage-ai
#4

Swarms

Similarity 125Trust 96Excellent 100

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai

6.9K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add kyegomez/swarms
#5

Feast

Similarity 125Trust 94Excellent 100

The Open Source Feature Store for AI/ML

7.1K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add feast-dev/feast
#6

Daft

Similarity 125Trust 96Excellent 100

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

5.6K starsJun 16, 2026 pushml-automationRustMachine Learning
$ npx skills add Eventual-Inc/Daft
#7

Rllm

Similarity 125Trust 94Excellent 100

Democratizing Reinforcement Learning for LLMs

5.6K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add rllm-org/rllm
#8

Applied Ml

Similarity 124Trust 89Excellent 87

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

30K starsJul 18, 2024 pushml-automationMachine LearningClaude Code
$ npx skills add eugeneyan/applied-ml
#9

Angel

Similarity 122Trust 91Excellent 100

A Flexible and Powerful Parameter Server for large-scale machine learning

6.8K starsJun 8, 2026 pushml-automationJavaMachine Learning
$ npx skills add Angel-ML/angel
#10

Smile

Similarity 122Trust 91Excellent 100

Statistical Machine Intelligence & Learning Engine

6.4K starsJun 17, 2026 pushml-automationJavaMachine Learning
$ npx skills add haifengl/smile
#11

Grobid

Similarity 122Trust 93Excellent 100

A machine learning software for extracting information from scholarly documents

4.9K starsJun 14, 2026 pushml-automationJavaMachine Learning
$ npx skills add grobidOrg/grobid
#12

Djl

Similarity 122Trust 93Excellent 100

An Engine-Agnostic Deep Learning Framework in Java

4.8K starsMay 20, 2026 pushml-automationJavaMachine Learning
$ npx skills add deepjavalibrary/djl
#13

Useful Java Links

Similarity 122Trust 89Excellent 98

A list of useful Java frameworks, libraries, software and hello worlds examples

6.2K starsMay 8, 2026 pushml-automationJavaMachine Learning
$ npx skills add Vedenin/useful-java-links
#14

Transformers

Similarity 120Trust 98Excellent 100

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

162K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/transformers
#15

Ray

Similarity 120Trust 98Excellent 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
#16

DeepSpeed

Similarity 120Trust 98Excellent 100

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add deepspeedai/DeepSpeed

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 Maestro 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.