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19,611 to 19,620 of 19,688 Results
requirements.txt
Jan 22, 2026 - Replication Software for "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web"
Plain Text - 23 B - MD5: 2ad69b65dfd12d497c3169c7cd65c1b1
separating-collector.py
Jan 22, 2026 - Replication Software for "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web"
Python Source Code - 2.9 KB - MD5: c4edcd9abcb6f0d03791ec3ce3396d7e
throttle.py
Jan 22, 2026 - Replication Software for "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web"
Python Source Code - 1.1 KB - MD5: e8585fe4852833d9942e4a38d4cd2834
update-patterns-aletheia.ipynb
Jan 22, 2026 - Replication Software for "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web"
Jupyter Notebook - 59.1 KB - MD5: 6aa102ea51c16c3735df38406ecab5db
update-patterns-cdn.ipynb
Jan 22, 2026 - Replication Software for "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web"
Jupyter Notebook - 30.1 KB - MD5: 424766feb87dfdb71cef8b118b7b4d3e
update-patterns-pnpm.ipynb
Jan 22, 2026 - Replication Software for "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web"
Jupyter Notebook - 18.7 KB - MD5: 9ea8ceb03f53f94576e714b8f4f7a0aa
utils.mjs
Jan 22, 2026 - Replication Software for "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web"
Javascript Code - 464 B - MD5: 39d620da675b85c0f4a2bb99f27b0c80
vulnerability-database.py
Jan 22, 2026 - Replication Software for "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web"
Python Source Code - 6.6 KB - MD5: ee31c51dc40056cef2528e184f7f8489
dolospy
dolospy
Jan 22, 2026 - Computer Science
Swierzy, Ben, 2026, "dolospy", https://doi.org/10.60507/FK2/LYIDHI, bonndata, V1
This repository contains a re-implementation of the rolling AST hash algorithm from Dolos (https://dolos.ugent.be/) in C++ with Python bindings. It is 8x faster for indexing and 10,000x faster in reporting compared to the original JavaScript implementation (cf. BENCHMARKING.md).
BENCHMARKING.md
Jan 22, 2026 - dolospy
Markdown Text - 2.0 KB - MD5: 1db4fa3b5d15063f6f3f0e2aab7aaa3d
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