mediapipe VS Pytorch

Compare mediapipe vs Pytorch and see what are their differences.

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mediapipe Pytorch
39 256
20,942 64,111
3.9% 2.9%
6.4 10.0
4 days ago 1 day ago
C++ C++
Apache License 2.0 GNU General Public License v3.0 or later
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.


Posts with mentions or reviews of mediapipe. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-17.


Posts with mentions or reviews of Pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-19.
  • Was just disqualified from a high school web design competition because our submission was too good
    2 projects | | 19 Mar 2023
    If you only care about data science and machine learning, then I would learn scikit-learn and PyTorch. Most companies and research groups have switched from Tensorflow to PyTorch, and Tensorflow itself replaced a number of frameworks before it (e.g., Caffe, Theano). I would also recommend reading An Introduction to Statistical Learning to get a basic understanding of different methods.
  • [D] PyTorch 2.0 Native Flash Attention 32k Context Window
    4 projects | | 17 Mar 2023
    You might look into
    4 projects | | 17 Mar 2023
  • Torch 2.0 just went GA in the last day.
    3 projects | | 16 Mar 2023
    When you said "build" pytorch I thought you meant(simplified): git clone # get the source code
  • PyTorch 2.0 Release
    4 projects | | 15 Mar 2023
    This is the master tracking list for MPS operator support:
  • Apple Mac M1/M2 Pygmalion Support for oobabooga
    2 projects | | 8 Mar 2023
    There is also some hope of things using the GPU on the M1/M2 as well. I did some testing and actually got it hooked up with some caveats. Not all PyTorch functions are mapped to work properly in the new MPS functionality Apple has provided so far. It looks like both PyTorch and Apple are working on things so this will improve. It also seems that the memory requirements of loading the models with GPU functionality are crazy high. That could be a side effect of the prototyping I did, but not sure. If you're interested, more detail can be found here.
  • Accelerating AI inference?
    4 projects | | 2 Mar 2023
    Pytorch supports other kinds of accelerators (e.g. FPGA, and, but unless you want to become a ML systems engineer and have money and time to throw away, or a business case to fund it, it is not worth it. In general, both pytorch and tensorflow have hardware abstractions that will compile down to device code. (XLA,, TPUs and GPUs have very different strengths; so getting top performance requires a lot of manual optimizations. Considering the the cost of training LLM, it is time well spent.
  • Nope, idk.
    2 projects | | 25 Feb 2023
  • Zero-Shot Image-to-Image Translation
    2 projects | | 13 Feb 2023
    While your millage (clearly) varies from mine, Anaconda is a de facto standard way to go in deep learning (and, generally, in most of the Python data science ecosystem).

    For example, when you go to the front page of PyTorch (, the default way to go is with Anaconda. It precisely makes it easy to install things regardless of the system and with matching versions. For example, out of box, it gives GPU support for Apple Silicon - not extra installation instructions.

    Pip installers don't work with non-Python dependencies. Of course, you can manually install things any way you like (including inside Docker), but it is up to you to make sure that all dependencies are compatible. And it is a non-trivial task, given frequent updates of all things involved (including CUDA kernels, Python versions, PyTorch/TF versions, and all libraries related to them one way or the other).

  • NotImplementedError (YOLOv5)
    3 projects | | 12 Feb 2023

What are some alternatives?

When comparing mediapipe and Pytorch you can also consider the following projects:

openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

ue4-mediapipe-plugin - UE4 MediaPipe plugin

AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

jeelizFaceFilter - Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).

flax - Flax is a neural network library for JAX that is designed for flexibility.

tensorflow - An Open Source Machine Learning Framework for Everyone

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

ROCm - ROCm - Open Software Platform for GPU Compute

bevy - A refreshingly simple data-driven game engine built in Rust