#1
Production-grade Rust-native trading engine with deterministic event-driven architecture
23K starsJun 14, 2026 pushsports-analyticsRustSports Analytics
$ npx skills add nautechsystems/nautilus_traderAlternatives
Sports alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Sports
computer vision and sports
90
Quality
86
Trust
5.1K
Stars
#2
Open football event data for match analysis, xG research, scouting, and World Cup-style dashboards.
3.9K starsJun 1, 2026 pushSports AnalyticsPythonCodex
$ npx skills add statsbomb/open-data#3
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#4
Deepfakes Software For All
55K starsMay 29, 2026 pushml-automationPythonMachine Learning
$ npx skills add deepfakes/faceswap#5
Streamlit — A faster way to build and share data apps.
45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlit#6
We write your reusable computer vision tools. 💜
44K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add roboflow/supervision#7
Football pitch plotting and soccer analytics visuals for match reports and dashboards.
1.1K starsJun 1, 2026 pushSports AnalyticsPythonCodex
$ npx skills add andrewRowlinson/mplsoccer#8
🤗 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#9
Ultralytics YOLO 🚀
58K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/ultralytics#10
Open standard for machine learning interoperability
21K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add onnx/onnx#11
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
9.5K starsMay 21, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add roboflow/notebooks#12
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
13K starsJun 14, 2026 pushml-automationPythonMachine Learning
$ npx skills add jacobgil/pytorch-grad-cam#13
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#14
Low-code framework for building custom LLMs, neural networks, and other AI models
12K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ludwig-ai/ludwig#15
Fast and Accurate ML in 3 Lines of Code
10K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add autogluon/autogluon#16
Effortless data labeling with AI support from Segment Anything and other awesome models.
9.5K starsJun 20, 2026 pushdocument-processingPythonOCR
$ npx skills add CVHub520/X-AnyLabelingHow 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 Sports if it already passes your workflow test and repository review.
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Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.