numexpr VS jsmpeg

Compare numexpr vs jsmpeg and see what are their differences.

numexpr

Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more (by pydata)

jsmpeg

MPEG1 Video Decoder in JavaScript (by phoboslab)
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numexpr jsmpeg
4 3
2,143 6,238
0.7% -
8.2 0.0
about 1 month ago over 1 year ago
Python JavaScript
MIT License MIT 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.

numexpr

Posts with mentions or reviews of numexpr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-29.
  • Making Python 100x faster with less than 100 lines of Rust
    21 projects | news.ycombinator.com | 29 Mar 2023
    You can just slap numexpr on top of it to compile this line on the fly.

    https://github.com/pydata/numexpr

  • Extending Python with Rust
    12 projects | news.ycombinator.com | 27 Dec 2022
  • [D] How to avoid CPU bottlenecking in PyTorch - training slowed by augmentations and data loading?
    2 projects | /r/MachineLearning | 10 Nov 2021
    Are you doing any costly chained NumPy operations in your preprocessing? E.g. max(abs(large_ary)), this produces multiple copies of your data, https://github.com/pydata/numexpr can greatly reduce time spent with such operations
  • Selection in pandas using query
    1 project | dev.to | 26 Jan 2021
    What is not entirely obvious here is that under the hood you can install a nice library called numexpr (docs, src) that exists to make calculations with large NumPy (and pandas) objects potentially much faster. When you use query or eval, this expression is passed into numexpr and optimized using its bag of tricks. Expected performance improvement can be between .95x and up to 20x, with average performance around 3-4x for typical use cases. You can read details in the docs, but essentially numexpr takes vectorized operations and makes them work in chunks that optimize for cache and CPU branch prediction. If your arrays are really large, your cache will not be hit as often. If you break your large arrays into very small pieces, your CPU won’t be as efficient.

jsmpeg

Posts with mentions or reviews of jsmpeg. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-29.
  • Making Python 100x faster with less than 100 lines of Rust
    21 projects | news.ycombinator.com | 29 Mar 2023
    >Today, there is a Python package for everything.

    The same could be said about CPAN and NPM. Yet Perl is basically dead and JavaScript isn't used for any machine learning tasks as far as I'm aware. WebAssembly did help bring a niche array of audio and video codecs to the ecosystem[1][2], something I'm yet to see from Python.

    I don't use Python, but with what little exposure I've had to it at work, its overall sluggish performance and need to set up a dozen virtualenvs -- only to dockerize everything in cursed ways when deploying -- makes me wonder how or why people bother with it at all beyond some 5-line script. Then again, Perl used to be THE glue language in the past and mod_perl was as big as FastAPI, and Perl users would also point out how CPAN was unparalleled in breadth and depth. I wonder if Python will follow a similar route as Perl. One can hope :-)

    [1] https://github.com/phoboslab/jsmpeg

  • Looking for a simple (MJPEG-like) browser-friendly way to stream live video
    3 projects | /r/selfhosted | 13 Mar 2022
    There's also mpegts over websockets if you don't need iphone support. https://github.com/phoboslab/jsmpeg
  • RTCP stream in HTML throught WebSocket
    5 projects | dev.to | 31 Jul 2021
    We will use jsmpeg to display the video on the page

What are some alternatives?

When comparing numexpr and jsmpeg you can also consider the following projects:

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

FFmpeg - Mirror of https://git.ffmpeg.org/ffmpeg.git

pygfx - A python render engine running on wgpu.

ustreamer - µStreamer - Lightweight and fast MJPEG-HTTP streamer

greptimedb - An open-source, cloud-native, distributed time-series database with PromQL/SQL/Python supported. Available on GreptimeCloud.

node-rtsp-stream - Stream any RTSP stream and output to websocket for consumption by jsmpeg (https://github.com/phoboslab/jsmpeg). HTML5 streaming video! Requires ffmpeg.

jnumpy - Writing Python C extensions in Julia within 5 minutes.

Streama - Self hosted streaming media server. https://docs.streama-project.com/

poly-match - Source for the "Making Python 100x faster with less than 100 lines of Rust" blog post

PythonCall.jl - Python and Julia in harmony.

ruff - An extremely fast Python linter and code formatter, written in Rust.