#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
Unravelsports alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Unravelsports
The unravelsports package aims to aid researchers, analysts and enthusiasts by providing intermediary steps in the complex process of turning raw sports data into meaningful information and actionable insights.
67
Quality
77
Trust
242
Stars
#2
Open football event data for match analysis, xG research, scouting, and World Cup-style dashboards.
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$ npx skills add statsbomb/open-data#3
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$ npx skills add gradio-app/gradio#4
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$ npx skills add scikit-learn/scikit-learn#5
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$ npx skills add streamlit/streamlit#6
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$ npx skills add andrewRowlinson/mplsoccer#7
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$ npx skills add scikit-learn-contrib/imbalanced-learn#8
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
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$ npx skills add K-Dense-AI/scientific-agent-skills#9
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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$ npx skills add huggingface/transformers#10
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$ npx skills add pandas-dev/pandas#11
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$ npx skills add ray-project/ray#12
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$ npx skills add deepspeedai/DeepSpeed#13
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
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$ npx skills add Lightning-AI/pytorch-lightning#14
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
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$ npx skills add microsoft/qlib#15
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$ npx skills add getredash/redash#16
Deep Learning for humans
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$ npx skills add keras-team/kerasHow 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 Unravelsports if it already passes your workflow test and repository review.
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