pipeless VS awesome-mojo

Compare pipeless vs awesome-mojo and see what are their differences.

pipeless

An open-source computer vision framework to build and deploy apps in minutes without worrying about multimedia pipelines [Moved to: https://github.com/pipeless-ai/pipeless] (by miguelaeh)
Artificial intelligence Computer Vision Multimedia multimedia-applications Cloud Cuda Deep Learning Machine Learning object-detection Video Yolo Ffmpeg Gstreamer inference-server HacktoberFest deepstream Nvidia Python Tensorrt vision-framework

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awesome-mojo

Awesome Mojo🔥 (by ego)
mojo Awesome awesome-mojo Python Compilers CPP Llvm mlir programming-language Artificial intelligence Benchmark Machine Learning Performance future-ai future-technologies hardware-acceleration mojo-language mojolang mojo-lang HacktoberFest
Source Code
awesome.mojo-lang.dev
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pipeless awesome-mojo
7 1
104 168
- -
10.0 7.9
7 months ago about 2 months ago
Python Python
Apache License 2.0 -
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.

pipeless

Posts with mentions or reviews of pipeless. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-24.

awesome-mojo

Posts with mentions or reviews of awesome-mojo. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pipeless and awesome-mojo you can also consider the following projects:

Savant - Python Computer Vision & Video Analytics Framework With Batteries Included

torchlambda - Lightweight tool to deploy PyTorch models to AWS Lambda

tennis-tracking - Open-source Monocular Python HawkEye for Tennis

pipeless - An open-source computer vision framework to build and deploy apps in minutes

pipelessassets

FLAVR - Code for FLAVR: A fast and efficient frame interpolation technique.

CV-CUDA - CV-CUDAâ„¢ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

nvidia-auto-installer-for-fedora - A CLI tool which lets you install proprietary NVIDIA drivers and much more easily on Fedora Linux (32 or above and Rawhide) [Moved to: https://github.com/t0xic0der/nvidia-auto-installer-for-fedora-linux]

truss - The simplest way to serve AI/ML models in production

pipeless vs Savant awesome-mojo vs torchlambda pipeless vs tennis-tracking pipeless vs pipeless pipeless vs pipelessassets pipeless vs FLAVR pipeless vs CV-CUDA pipeless vs AI-basketball-analysis pipeless vs nvidia-auto-installer-for-fedora pipeless vs truss