Fenn
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Invenio
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Stella
Filect
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socketify.py
Fenn is a file search engine for macOS that lets you find exactly what you need inside video, audio, PDFs, and more. 100% local, no privacy trade-offs
Fenn
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Fenn searches semantically and visually inside videos, audio, PDFs, and more โ even within frames โ offering lightning-fast results beyond what Spotlight can do on MacOS
Fenn's answer
Fenn is faster, smarter, and goes deeper โ finding content inside media files, not just filenames or text.
Fenn's answer
Mac users who work with a lot of files โ especially creatives, researchers, and knowledge workers who need powerful search capabilities.
Fenn's answer
Fenn was born out of frustration with Spotlight's limitations. It was built to give Mac users a faster, more capable way to truly find anything.
Fenn's answer
Open-source large language models (LLM)
Open-source vision-language models (VLM)
Open-source embedding models
Based on our record, socketify.py seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
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