PublicWWW is a source code search engine that searches HTML, JavaScript, CSS and plain text in web page source code, supporting queries such as regex and ccTLDs. It also offers an API and an MCP server for AI assistants.
SearchCode
searchcode.com is an MCP server providing structured code intelligence for LLMs, with six specialized tools to analyze, search and retrieve code from public git repositories. It is free during beta with no signup or API key.
Features
- Six specialized tools Source: searchcode.com
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0PublicWWW is a source code search engine that searches HTML, JavaScript, CSS and plain text in web page source code, supporting queries such as regex and ccTLDs. It also offers an API and an MCP server for AI assistants.
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0A site offering non-judgmental guidance on choosing a license for an open source project. It presents situations such as needing to work in a community, wanting something simple and permissive, or caring about sharing improvements, and points to licenses like the MIT License and GNU GPLv3. It also addresses non-software projects and not choosing a license.
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0Read practical guidance on starting and contributing to open-source projects.
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0tl;drLegal is a reference site that summarizes and explains software licenses in plain English. It offers a library of popular licenses summarized at-a-glance, marked as verified content. The site is brought to you by FOSSA, described as an open source management platform.
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0Libraries.io is a free service that collects publicly available open source package information scraped from the internet. Users can search packages by license or language and explore new, trending or popular packages. The data is not validated, corrected or curated for accuracy. API access is free to registered users, subject to a rate limit.
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A free course for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. It includes 9 lessons of around 90 minutes each, covering computer vision, natural language processing, tabular analysis, and collaborative filtering, plus building and training models, random forests, deployment, and use of PyTorch, fastai and Hugging Face.
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