dex-lang VS CIPs

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


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


By cardano-foundation
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dex-lang CIPs
12 82
1,118 217
3.6% 12.0%
9.5 8.4
2 days ago 6 days ago
Haskell CSS
BSD 3-clause "New" or "Revised" License Creative Commons Attribution 4.0
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 CIPs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-03.

What are some alternatives?

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

nami-wallet - Nami Wallet is a browser based wallet extension to interact with the Cardano blockchain.

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

julia - The Julia Programming Language

hasktorch - Tensors and neural networks in Haskell

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

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

tensor_annotations - Annotating tensor shapes using Python types

plutus-apps - The Plutus application platform

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

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

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

tutorials - PyTorch tutorials.