dex-lang VS tensor_annotations

Compare dex-lang vs tensor_annotations and see what are their differences.


Research language for array processing in the Haskell/ML family (by google-research)


Annotating tensor shapes using Python types (by deepmind)
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dex-lang tensor_annotations
12 1
1,100 101
4.2% -
9.5 7.7
7 days ago about 1 month ago
Haskell Python
BSD 3-clause "New" or "Revised" 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.


Posts with mentions or reviews of dex-lang. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-09.


Posts with mentions or reviews of tensor_annotations. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-23.

What are some alternatives?

When comparing dex-lang and tensor_annotations you can also consider the following projects:

futhark - :boom::computer::boom: A data-parallel functional programming language

hasktorch - Tensors and neural networks in Haskell

julia - The Julia Programming Language

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

tutorials - PyTorch tutorials.

FlexFlow - A distributed deep learning framework that supports flexible parallelization strategies.

Co-dfns - High-performance, Reliable, and Parallel APL


TablaM - The practical relational programing language for data-oriented applications