PyAV VS fast_vector_similarity

Compare PyAV vs fast_vector_similarity and see what are their differences.

PyAV

Pythonic bindings for FFmpeg's libraries. (by PyAV-Org)

fast_vector_similarity

The Fast Vector Similarity Library is designed to provide efficient computation of various similarity measures between vectors. (by Dicklesworthstone)
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PyAV fast_vector_similarity
3 7
2,279 324
2.2% -
9.2 7.2
8 days ago 9 months ago
Cython Rust
BSD 3-clause "New" or "Revised" License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

PyAV

Posts with mentions or reviews of PyAV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-22.

fast_vector_similarity

Posts with mentions or reviews of fast_vector_similarity. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-07.
  • SentenceTransformers: Python framework for sentence, text and image embeddings
    2 projects | news.ycombinator.com | 7 Apr 2024
    Yes, check out my library for vector similarity that has various other measures which are more discriminative:

    https://github.com/Dicklesworthstone/fast_vector_similarity

    pip install fast_vector_similarity

  • Show HN: Neum AI – Open-source large-scale RAG framework
    3 projects | news.ycombinator.com | 21 Nov 2023
    Got it. I'd encourage you to expose more of that functionality at the level of your application if possible. I think there is a lot of potential in using more than just cosine similarity, especially when there are lots of candidates and you really want to sharpen up the top few recommendations to the best ones. You might find this open-source library I made recently useful for that:

    https://github.com/Dicklesworthstone/fast_vector_similarity

    I've had good results from starting with cosine similarity (using FAISS) and then "enriching" the top results from that with more sophisticated measures of similarity from my library to get the final ranking.

  • Some Reasons to Avoid Cython
    5 projects | news.ycombinator.com | 22 Sep 2023
    You can see how I did something similar in my library here:

    https://github.com/Dicklesworthstone/fast_vector_similarity/...

    Basically you use ndarray instead of numpy, try to vectorize anything you can, and for the for loops that can’t be vectorized, you can use rayon to do them in parallel.

  • FLaNK Stack Weekly 28 August 2023
    27 projects | dev.to | 28 Aug 2023
  • Fast Vector Similarity Library, Useful for Working With Llama2 Embedding Vectors
    1 project | /r/LocalLLaMA | 25 Aug 2023
  • Show HN: Fast Vector Similarity Using Rust and Python
    8 projects | news.ycombinator.com | 23 Aug 2023
    Yeah, like the other commenter said, everything is in this file here:

    https://github.com/Dicklesworthstone/fast_vector_similarity/...

    If you also make your project using Rust and Maturin, you can literally just copy and paste that into your project because it's totally generic, and if the repo is public, GitHub will just run it all for you for free.

    The only thing is you need to create an account on PyPi (pip) and add 2-Factor Auth so you can generate an API key. Then you go into the repo settings and go to secrets, and create a Github Actions secret with the name PYPI_API_TOKEN and make the value your PyPi token. That's it! It will not only compile all the wheels for you but even upload the project to PyPi for you using the settings found in your pyproject.toml file, like this:

    https://github.com/Dicklesworthstone/fast_vector_similarity/...

What are some alternatives?

When comparing PyAV and fast_vector_similarity you can also consider the following projects:

decord - An efficient video loader for deep learning with smart shuffling that's super easy to digest

simsimd

moviepy - Video editing with Python

swiss_army_llama - A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

deffcode - A cross-platform High-performance FFmpeg based Real-time Video Frames Decoder in Pure Python 🎞️⚡

np-sims - numpy ufuncs for vector similarity

uvloop - Ultra fast asyncio event loop.

QTVR - Tools for QTVR 1 files

ta-lib-python - Python wrapper for TA-Lib (http://ta-lib.org/).

llama_embeddings_fastap

tenforce - Type enforcement for Python

DoctorGPT - 💻📚💡 DoctorGPT provides advanced LLM prompting for PDFs and webpages.