gloo VS idist-snippets

Compare gloo vs idist-snippets and see what are their differences.

gloo

Collective communications library with various primitives for multi-machine training. (by facebookincubator)
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gloo idist-snippets
2 1
1,140 4
0.7% -
8.0 0.0
6 days ago almost 3 years ago
C++ Python
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.

gloo

Posts with mentions or reviews of gloo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-24.
  • Releasing Gloo 0.4.0
    3 projects | /r/rust | 24 Oct 2021
    These are two separate libraries that do very different things but share the same name. They are also written in two separate languages. That is a sizable gap between them, and reusing names happens often with libraries. Gloo (rust-wasm, this post) is also not new. Though, relative to Gloo (Go, solo-io), it is newer. But, there is also a Github repo even older than Gloo (solo-io): https://github.com/facebookincubator/gloo. As well, even if these were for some odd reason all about wasm, none of them are actually that popular. solo-io Gloo has the most stars (though that isn't the best metric of popularity, since it is relative to the community that actually uses it), but 3k simply isn't that much. There is certainly a good argument to look down on libraries that reuse popular library names, but this isn't really the case here. Both started not too long after each other (solo-io would not have most of the stars it currently has when Gloo-Rust started), are in separate languages (thus separate communities), and do very separate things.
  • Distributed Training Made Easy with PyTorch-Ignite
    7 projects | dev.to | 10 Aug 2021
    backends from native torch distributed configuration: nccl, gloo, mpi.

idist-snippets

Posts with mentions or reviews of idist-snippets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-10.

What are some alternatives?

When comparing gloo and idist-snippets you can also consider the following projects:

NCCL - Optimized primitives for collective multi-GPU communication

ignite - High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

ompi - Open MPI main development repository

why-ignite - Why should we use PyTorch-Ignite ?

gloo - The Feature-rich, Kubernetes-native, Next-Generation API Gateway Built on Envoy

xla - Enabling PyTorch on XLA Devices (e.g. Google TPU)