Alternatives

NBA AI alternatives for AI agents.

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

Current skill

NBA AI

Using AI to predict the outcomes of NBA games.

72
Quality
78
Trust
112
Stars
#1

Nautilus Trader

Similarity 119Trust 93Excellent 100

Production-grade Rust-native trading engine with deterministic event-driven architecture

23K starsJun 14, 2026 pushsports-analyticsRustSports Analytics
$ npx skills add nautechsystems/nautilus_trader
#2

Gradio

Similarity 92Trust 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
#3

Pytorch Lightning

Similarity 91Trust 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
#4

Streamlit

Similarity 91Trust 92Excellent 100

Streamlit β€” A faster way to build and share data apps.

45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlit
#5

SpaCy

Similarity 91Trust 90Excellent 100

πŸ’« Industrial-strength Natural Language Processing (NLP) in Python

34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy
#6

Dash

Similarity 91Trust 92Excellent 100

Data Apps & Dashboards for Python. No JavaScript Required.

24K starsJul 2, 2026 pushfinancePythonFinance
$ npx skills add plotly/dash
#7

Recommenders

Similarity 91Trust 92Excellent 100

Best Practices on Recommendation Systems

22K starsJun 14, 2026 pushdevopsPythonKubernetes
$ npx skills add recommenders-team/recommenders
#8

Fg Data Profiling

Similarity 90Trust 93Excellent 100

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

14K starsApr 22, 2026 pushdata-analysisPythonData Analysis
$ npx skills add Data-Centric-AI-Community/fg-data-profiling
#9

Wandb

Similarity 90Trust 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
#10

Best Of Ml Python

Similarity 85Trust 92Excellent 100

πŸ† A ranked list of awesome machine learning Python libraries. Updated weekly.

24K starsJun 11, 2026 pushdata-analysisData AnalysisClaude Code
$ npx skills add lukasmasuch/best-of-ml-python
#11

Pandas

Similarity 84Trust 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
#12

Ray

Similarity 84Trust 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
#13

Keras

Similarity 83Trust 92Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#14

Reflex

Similarity 83Trust 92Excellent 100

πŸ•ΈοΈ Web apps in pure Python 🐍

29K starsJun 13, 2026 pushdata-analysisPythonData Analysis
$ npx skills add reflex-dev/reflex
#15

Scikit Learn

Similarity 83Trust 90Excellent 100

scikit-learn: machine learning in Python

66K starsJun 17, 2026 pushdata-analysisPythonData Analysis
$ npx skills add scikit-learn/scikit-learn
#16

Datasets

Similarity 83Trust 93Excellent 100

πŸ€— 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

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 NBA AI 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.