Alternatives

ScientificComputingForTheRestOfUs alternatives for AI agents.

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

Current skill

ScientificComputingForTheRestOfUs

Introduction to Scientific Computing 🦊

47
Quality
72
Trust
128
Stars
#1

Cesium

Similarity 104Trust 93Excellent 100

An open-source JavaScript library for world-class 3D globes and maps :earth_americas:

15K starsJun 21, 2026 pushgeo-scienceJavaScriptGeospatial
$ npx skills add CesiumGS/cesium
#2

Turf

Similarity 103Trust 92Excellent 100

A modular geospatial engine written in JavaScript and TypeScript

10K starsJun 20, 2026 pushgeo-scienceTypeScriptGeospatial
$ npx skills add Turfjs/turf
#3

Tile38

Similarity 103Trust 89Excellent 100

Real-time Geospatial and Geofencing

9.7K starsJun 9, 2026 pushgeo-scienceGoGeospatial
$ npx skills add tidwall/tile38
#4

Erpnext

Similarity 97Trust 92Excellent 100

Free and Open Source Enterprise Resource Planning (ERP)

36K starsJun 16, 2026 pushgeo-sciencePythonHealth Data
$ npx skills add frappe/erpnext
#5

Pytorch Lightning

Similarity 85Trust 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
#6

Scikit Learn

Similarity 85Trust 90Excellent 100

scikit-learn: machine learning in Python

66K starsJun 17, 2026 pushdata-analysisPythonData Analysis
$ npx skills add scikit-learn/scikit-learn
#7

Machine Learning For Trading

Similarity 84Trust 88Excellent 100

Code for Machine Learning for Algorithmic Trading, 2nd edition.

19K starsJun 23, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add stefan-jansen/machine-learning-for-trading
#8

Julia

Similarity 83Trust 92Excellent 100

The Julia Programming Language

49K starsJun 16, 2026 pushml-automationJuliaMachine Learning
$ npx skills add JuliaLang/julia
#9

Darts

Similarity 83Trust 92Excellent 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
#10

AI Papers Of The Week

Similarity 83Trust 88Excellent 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
#11

Data Science Interviews

Similarity 83Trust 90Excellent 100

Data science interview questions and answers

10K starsJun 1, 2026 pushml-automationHTMLMachine Learning
$ npx skills add alexeygrigorev/data-science-interviews
#12

Imbalanced Learn

Similarity 83Trust 92Excellent 100

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

7.1K starsJun 7, 2026 pushdata-analysisPythonData Analysis
$ npx skills add scikit-learn-contrib/imbalanced-learn
#13

TabPFN

Similarity 82Trust 87Excellent 100

⚡ TabPFN: Foundation Model for Tabular Data ⚡

7.4K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add PriorLabs/TabPFN
#14

Pandas

Similarity 78Trust 94Excellent 100

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

49K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add pandas-dev/pandas
#15

Gradio

Similarity 78Trust 94Excellent 100

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

43K starsJun 17, 2026 pushdata-analysisPythonData Analysis
$ npx skills add gradio-app/gradio
#16

Ray

Similarity 78Trust 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

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 ScientificComputingForTheRestOfUs if it already passes your workflow test and repository review.

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