Alternatives

Budgetml alternatives for AI agents.

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

Current skill

Budgetml

Deploy a ML inference service on a budget in less than 10 lines of code.

72
Quality
80
Trust
1.3K
Stars
#1

Agent Lightning

Similarity 141Trust 94Excellent 100

The absolute trainer to light up AI agents.

17K starsApr 29, 2026 pushml-automationPythonMLOps
$ npx skills add microsoft/agent-lightning
#2

Pytorch Lightning

Similarity 136Trust 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
#3

Darts

Similarity 134Trust 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
#4

Cookiecutter Data Science

Similarity 134Trust 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
#5

MLE Agent

Similarity 133Trust 89Excellent 85

🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollama, etc supported. :fireworks: Code RAG

1.6K starsJul 27, 2025 pushml-automationPythonMLOps
$ npx skills add MLSysOps/MLE-agent
#6

TabPFN

Similarity 132Trust 90Excellent 100

⚡ TabPFN: Foundation Model for Tabular Data ⚡

7.4K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add PriorLabs/TabPFN
#7

Mlxtend

Similarity 132Trust 92Excellent 100

A library of extension and helper modules for Python's data analysis and machine learning libraries.

5.2K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add rasbt/mlxtend
#8

Great Expectations

Similarity 132Trust 95Excellent 100

Always know what to expect from your data.

12K starsJun 13, 2026 pushml-automationPythonMLOps
$ npx skills add fivetran/great_expectations
#9

Opyrator

Similarity 131Trust 93Excellent 100

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

3.1K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add ml-tooling/opyrator
#10

Mrmr

Similarity 131Trust 80Needs review 54

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

629 starsNov 19, 2024 pushml-automationPythonMLOps
$ npx skills add smazzanti/mrmr
#11

Mlops Stacks

Similarity 131Trust 88Excellent 86

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.

686 starsJun 12, 2026 pushml-automationPythonMLOps
$ npx skills add databricks/mlops-stacks
#12

Hands On Train And Deploy Ml

Similarity 131Trust 73Promising 56

Train and Deploy an ML REST API to predict crypto prices, in 10 steps

885 starsMay 29, 2024 pushml-automationPythonMLOps
$ npx skills add Paulescu/hands-on-train-and-deploy-ml
#13

Skops

Similarity 130Trust 88Strong 84

skops is a Python library helping you share your scikit-learn based models and put them in production

516 starsJun 8, 2026 pushml-automationPythonMLOps
$ npx skills add skops-dev/skops
#14

MLOpsPython

Similarity 129Trust 83Strong 72

MLOps using Azure ML Services and Azure DevOps

1.3K starsAug 5, 2023 pushml-automationPythonMLOps
$ npx skills add microsoft/MLOpsPython
#15

Ray

Similarity 128Trust 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

Keras

Similarity 128Trust 96Excellent 100

Deep Learning for humans

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

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 Budgetml 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.