{"repo":"AmirhosseinHonardoust/Python-Solidity-Feature-Engineering","free":true,"listed":false,"github":"https://github.com/AmirhosseinHonardoust/Python-Solidity-Feature-Engineering","clone":"git clone https://github.com/AmirhosseinHonardoust/Python-Solidity-Feature-Engineering.git","description":"A practical, research-friendly toolkit demonstrating how Python can read, parse, and analyze Solidity smart contracts using feature-engineering techniques. Extracts structural and security-relevant signals from Solidity code, detects risky patterns, builds interpretable features, and forms the basis for heuristic or ML-driven security analysis.","language":null,"stars":19,"topics":["blockchain","code-analysis","data-science","developer-tools","ethereum","evm","feature-engineering","machine-learning","python","risk-analysis"],"license":"MIT","category":"blockchain-web3","readme_excerpt":"How to Teach Python to Read Solidity Code: Feature Engineering for Blockchain Security Smart contract security has become one of the most critical problems in modern computing. Billions of dollars now flow through decentralized applications, yet the average Solidity contract is still handwritten, under-reviewed, and often deployed without meaningful automated analysis. Static analyzers exist, Slither, Mythril, Scribble, but they are massive, complex systems built by security professionals. What if you want something simpler? Something you can understand, modify, and extend yourself? Something you can integrate into custom pipelines or research experiments? In this article, we build exactly that: a Python-based feature extraction system that reads Solidity code and transforms it into structured security signals. This is not about building a full auditor. Instead, it’s about understanding how Python can learn to “read” Solidity , identify risky patterns, and produce features that can power heuristic scoring or machine learning. --- Why Feature Engineering Matters in Smart Contract Security Before you can detect vulnerabilities, classify risky code, or train an AI model to audit contracts, you need one thing: Signal. Classic vulnerabilities such as reentrancy, oracle manipulation, delegatecall misuse, and access-control bugs leave detectable fingerprints in code. These fingerprints become features . Examples: Vulnerability Possible Feature ----------------------- ---------------","default_branch":null,"files":null,"tree":[],"storefront":"/r/AmirhosseinHonardoust","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AmirhosseinHonardoust/Python-Solidity-Feature-Engineering/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}