Alternatives

AI Data Science Team alternatives for AI agents.

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

Current skill

AI Data Science Team

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

99
Quality
93
Trust
5.3K
Stars
#1

Pytorch Lightning

Similarity 142Trust 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
#2

SpaCy

Similarity 142Trust 95Excellent 100

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

34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy
#3

Wandb

Similarity 140Trust 97Excellent 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
#4

Cookiecutter Data Science

Similarity 140Trust 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

Sktime

Similarity 140Trust 94Excellent 100

A unified framework for machine learning with time series

9.8K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/sktime
#6

Swarms

Similarity 139Trust 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
#7

Aim

Similarity 139Trust 94Excellent 100

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

6.2K starsJun 14, 2026 pushml-automationPythonMachine Learning
$ npx skills add aimhubio/aim
#8

Snorkel

Similarity 139Trust 94Excellent 100

A system for quickly generating training data with weak supervision

6.0K starsJun 8, 2026 pushml-automationPythonMachine Learning
$ npx skills add snorkel-team/snorkel
#9

Pytorch Forecasting

Similarity 138Trust 93Excellent 100

Time series forecasting with PyTorch

4.9K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/pytorch-forecasting
#10

Screenpipe

Similarity 135Trust 94Excellent 100

YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure

19K starsJun 16, 2026 pushml-automationRustMachine Learning
$ npx skills add screenpipe/screenpipe
#11

Ray

Similarity 134Trust 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
#12

Keras

Similarity 134Trust 96Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#13

Datasets

Similarity 134Trust 98Excellent 100

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

22K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/datasets
#14

AI Papers Of The Week

Similarity 134Trust 91Excellent 100

🔥Highlighting the top ML papers every week.

13K starsJun 15, 2026 pushml-automationMachine LearningClaude Code
$ npx skills add dair-ai/AI-Papers-of-the-Week
#15

Onnx

Similarity 133Trust 95Excellent 100

Open standard for machine learning interoperability

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

Kaggle Solutions

Similarity 133Trust 94Excellent 100

🏅 Collection of Kaggle Solutions and Ideas 🏅

6.4K starsJun 6, 2026 pushml-automationAstroMachine Learning
$ npx skills add faridrashidi/kaggle-solutions

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 AI Data Science Team 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.