Cutelyst
vectorflow
Cutelyst | vectorflow | |
---|---|---|
9 | 12 | |
882 | 1,290 | |
0.5% | 0.2% | |
9.5 | 0.0 | |
11 days ago | 10 months ago | |
C++ | D | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
Cutelyst
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Qt/c++ JSON Server
Try https://github.com/cutelyst/cutelyst
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The pandemic of programming languages
You could use cutelyst.
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Programming languages endorsed for server-side use at Meta
> How would one go about building a rest service in C++?
I'd use https://github.com/drogonframework/drogon if the app needs to be pure C++ or Cutelyst (https://cutelyst.org/) if it's a Qt app which needs to expose an http server
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RestFull API to manage C++/Qt6 Application
I follow Restfull example from https://github.com/cutelyst/cutelyst/wiki/Creating-RESTful-Applications.
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Status of BeerXML/BeerJSON?
could do both! https://cutelyst.org looks neat, and BrewTarget is written with Qt.
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C or C++ as web app backend?
Cutelyst (revolves around Qt)
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I'm currently maintaining Crow, an open source C++ web framework
Nice to see another C++ web framework :D for those interested there is also Cutelyst (https://cutelyst.org/) but I never tried it
vectorflow
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Programming languages endorsed for server-side use at Meta
>> Mozilla (of course)
Mozilla is a c++ and javascript shop. What do they ship in Rust? How much of Firefox is written in rust for example?
>> Microsoft, Meta, Google/Acrobat, Amazon
Large firms have lots of devs and consequently lots of toy projects. Is their usage of rust more significant than their use of D? I mean Meta was churning out projects in D a while back (warp, flint, etc) and looked like it might be going all in at one point (they even hired one of the leads on D lang).
>> That's practically all of FAANG
Who were we missing? Netflix, they’ve dabbled with D too: https://github.com/Netflix/vectorflow
Don’t misunderstand my point - it’s not that D is more popular than rust, it’s that rust is not used for real work in any significant capacity yet.
Where’s the big project written in rust? Servo and the rust compiler are the only two large rust projects on github.
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Cloud TPU VMs are generally available
Thanks Zak, already applied.
Just wondering does TPU VM support Vectorflow?
https://github.com/Netflix/vectorflow
- Vectorflow is a minimalist neural network library optimized for sparse data and single machine environments open sourced by Netflix (r/MachineLearning)
- [P] Vectorflow is a minimalist neural network library optimized for sparse data and single machine environments open sourced by Netflix
- Vectorflow is a minimalist neural network library optimized for sparse data and single machine environments open sourced by Netflix
- Vectorflow: Minimalist neural network library faster than TensorFlow in D
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Small Neural networks in Julia 5x faster than PyTorch
A library I designed a few years ago (https://github.com/Netflix/vectorflow) is also much faster than pytorch/tensorflow in these cases.
In "small" or "very sparse" setups, you're memory bound, not compute bound. TF and Pytorch are bad at that because they assume memory movements are worth it and do very little in-place operations.
Different tools for different jobs.
What are some alternatives?
Wt - Wt, C++ Web Toolkit
tiny-cuda-nn - Lightning fast C++/CUDA neural network framework
TreeFrog Framework - TreeFrog Framework : High-speed C++ MVC Framework for Web Application
dcompute - DCompute: Native execution of D on GPUs and other Accelerators
drogon - Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows [Moved to: https://github.com/drogonframework/drogon]
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Oat++ - 🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.
LeNetTorch - PyTorch implementation of LeNet for fitting MNIST for benchmarking.
CppCMS - CppCMS Framework
juliaup - Julia installer and version multiplexer
Crow - Crow is very fast and easy to use C++ micro web framework (inspired by Python Flask)
blis - BLAS-like Library Instantiation Software Framework