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Swift Alternatives
Similar projects and alternatives to swift
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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PythonNet
Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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smoke-framework
A light-weight server-side service framework written in the Swift programming language.
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diffmimic
[ICLR 2023] DiffMimic: Efficient Motion Mimicking with Differentiable Physics https://arxiv.org/abs/2304.03274
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Swift-AI-live-book-and-code
Discontinued A book and code for Swift AI projects that is hosted on GitHub
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better swift alternative or higher similarity.
swift reviews and mentions
Posts with mentions or reviews of swift.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-11.
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Show HN: Designing Bridges with PyTorch
I remember several years ago when differentiable programming was an object of interest to the programming community and Lattner was trying to make Swift for Tensorflow happen[1].
I'm of the opinion that it was ahead of its time: Swift hadn't (and still hasn't) made enough progress on Linux support for it to be taken seriously as a language for writing anything that isn't associated with Apple. However, as a result, Swift now has language-level differentiability in its compiler. I'd love to see Swift get used for projects like this, but I suppose the reality of the matter is that there are so many performant runtimes for 2D/3D physics that there just isn't much of a need for automatic differentiation (and its overhead) to solve these problems. The tooling nerd in me thinks this stuff is fascinating.
https://github.com/tensorflow/swift
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Can Swift be used for Data Science?
there was a time when google attempted to integrate swift with tensorflow, but the project was abandoned, and the repo is archived now. I believe the swift community picked up some of the features, and they are still working on it.
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Engineering Trade-Offs in Automatic Differentiation: from TensorFlow and PyTorch to Jax and Julia - Stochastic Lifestyle
Apple really is focusing on CoreML rather than differentiable swift, that was more of the vision of Swift4TF, which really was driven mostly by Google, until it was cancelled (I assume because of Chris Latner leaving google for SiFive): https://github.com/tensorflow/swift
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Swift on the Server in 2020
to be fair, Swift for Tensorflow was dropped (Feb 21) way after this article was written (Aug 20) https://github.com/tensorflow/swift
- Flashlight: Fast and flexible machine learning in C++
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Swift for TensorFlow Shuts Down
Neat! This may have not been well known when they kicked off the project and wrote their reasoning. Here is what they had to say about Scala at the time of the document linked up-thread[0]:
"Java / C# / Scala (and other OOP languages with pervasive dynamic dispatch): These languages share most of the static analysis problems as Python: their primary abstraction features (classes and interfaces) are built on highly dynamic constructs, which means that static analysis of Tensor operations depends on "best effort" techniques like alias analysis and class hierarchy analysis. Further, because they are pervasively reference-based, it is difficult to reliably disambiguate pointer aliases."
If they were wrong about that, or if the state of the art has progressed in the meantime, that's great! You may well be right that Scala would be a good / the best choice if they started the project today.
[0]: https://github.com/tensorflow/swift/blob/main/docs/WhySwiftF...
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Swift for TensorFlow in Archive Mode
It was not in the README
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A note from our sponsor - InfluxDB
www.influxdata.com | 23 Apr 2024
Stats
Basic swift repo stats
16
6,052
0.0
over 2 years ago
tensorflow/swift is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of swift is Jupyter Notebook.
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