XcodeBenchmark
XcodeBenchmark measures the compilation time of a large codebase on iMac, MacBook, and Mac Pro (by devMEremenko)
Gorgonia
Gorgonia is a library that helps facilitate machine learning in Go. (by gorgonia)
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| XcodeBenchmark | Gorgonia | |
|---|---|---|
| 62 | 21 | |
| 2,905 | 5,333 | |
| - | 1.1% | |
| 8.1 | 2.8 | |
| about 1 month ago | 24 days ago | |
| Swift | Go | |
| MIT License | 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.
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.
XcodeBenchmark
Posts with mentions or reviews of XcodeBenchmark.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-27.
- 2023 Mac Mini 10 Core M2 Pro – A Beast for Xcode Compilation
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Who is the M3 Max for?
I’m a software developer as well and I ended up ordering a m3 max (still not received though). Main reasons against the m3 pro was the lesser number of performance cores compared to previous gens and slower memory bandwidth. Indeed, in this Xcode benchmark used by the Max Tech channel, the m3 pro compiled code slightly slower than the M1 Pro. Probably is a corner case but I think it’s worth to mention.
- Recommended mac hardware for optimal Xcode build speed
- I made a Mac Mini shopping guide, including monitor recommendations
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14" M2 Pro vs Air M2 for C++/Rust dev
I found only one reasonable benchmark comparing compilation speed for large projects here. Does anyone have experience with these 2 machines for backend development with compiled languages?
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[MacBook Pro 16 M2 Max 32GB 1T] or [16” M2 pro 16GB 1T + iPad Pro M2 12.9”]
Here's repo you should look at when buying a MacBook. Difference between M2 Pro and M2 Max is ~15%.
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Mac Mini m2 vs Mac Mini M2 Pro
I'm not sure about AI/ML dataset training performance, but this XcodeBenchmark performance appears to be very comparable between the M2 and M2 Pro.
- M2 Pro vs M1 - Any proper difference?
- M2 or M2 Pro Mac Mini for Development?
- Considering selling my MacBook Pro and just using my base model M2 MacBook Air. Has anybody with a m1 or m2 and 8gb of ram run into issues with iOS development?
Gorgonia
Posts with mentions or reviews of Gorgonia.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-06.
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Machine Learning en GO! 🤯
GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.
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Machine Learning
I did end up writing and using a custom library for Random Forest (it's also in AwesomGo) in one real-world project (detecting Alzheimer's and Parkinson's from speech from a mobile app) - https://github.com/malaschitz/randomForest I had better results than the team who used TensorFlow and most importantly I didn't have to use any other technology than Go. For NN's it's probably best to use https://gorgonia.org/ - but it's not exactly a user friendly library. But there is a whole book on it - Hands-On Deep Learning with Go.
- Why isn’t Go used in AI/ML?
- GoLang AI/ML open source projects
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A systematic framework for technical documentation authoring
Perhaps it's a product of French culture, but because Gorgonia[0] has a number of French contributors, this was actually the way we structured our documentation.
But this is the first time I've heard of the name of the framework.
[0]: https://gorgonia.org
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[D] When was the last time you wrote a custom neural net?
Oh it's.Gorgonia
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Most Popular GoLang Frameworks
Website: https://gorgonia.org
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[D] What framework are you using?
I use Gorgonia.
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Why can't Go be popular for machine learning?
What you think about this https://github.com/gorgonia/gorgonia ? I also recall there is something else out there but can't find it at the moment...
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Neural networks in golang
Yep, all of them: https://github.com/gorgonia/gorgonia
What are some alternatives?
When comparing XcodeBenchmark and Gorgonia you can also consider the following projects:
kcbench
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
distcc - distributed builds for C, C++ and Objective C
GoLearn - Machine Learning for Go
WSL - Issues found on WSL
tfgo - Tensorflow + Go, the gopher way
AndroidStudioBenchmark - Firefox Focus: The privacy browser - Browse like no one’s watching.
goml - On-line Machine Learning in Go (and so much more)
Alamofire - Elegant HTTP Networking in Swift
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
Hackintosh-13900k-Z690-AORUS-ELITE-AX-DDR5-AMD-6900XT - Hackintosh OpenCore EFI for a 100% stable Intel 13900k + Z690 AORUS ELITE AX DDR5 + AMD 6900XT + AMD RX550
bayesian - Naive Bayesian Classification for Golang.
XcodeBenchmark vs kcbench
Gorgonia vs onnx-go
XcodeBenchmark vs distcc
Gorgonia vs GoLearn
XcodeBenchmark vs WSL
Gorgonia vs tfgo
XcodeBenchmark vs AndroidStudioBenchmark
Gorgonia vs goml
XcodeBenchmark vs Alamofire
Gorgonia vs gosseract
XcodeBenchmark vs Hackintosh-13900k-Z690-AORUS-ELITE-AX-DDR5-AMD-6900XT
Gorgonia vs bayesian