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Accelerate Alternatives
Similar projects and alternatives to accelerate
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servant
Servant is a Haskell DSL for describing, serving, querying, mocking, documenting web applications and more!
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better accelerate alternative or higher similarity.
accelerate discussion
accelerate reviews and mentions
Posts with mentions or reviews of accelerate.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-09-12.
- Accelerate
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Why Haskell?
Well what kind of values and how many updates? You might have to call an external library to get decent performance, like you would use NumPy in Python. This might be of interest: https://www.acceleratehs.org/
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Should I use newer ghc?
Someone has opened a PR for accelerate here https://github.com/AccelerateHS/accelerate/pull/525 (sadly seems not actively maintained at the moment, but that can always change if people care enough). I agree for an executable you should freeze your dependencies and compiler version, and using 8.10 is fine. Although there are tons of improvements in 9.2+
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Haskell deep learning tutorials [Blog]
Backprop is a neat library. However, I guess its use case is if you actually don't want to go for anything standard like Torch or TF (perhaps for research?) For instance, if I were to use something like Accelerate for GPU acceleration, or some other computation-oriented library, then I would mix it with Backprop. Previously, I have benefited from Backprop in a ConvNet tutorial and I liked it.
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I made a petition to get the accelerate project for Haskell some funding.
Wait, really? Here's a conversation I had with him: https://github.com/AccelerateHS/accelerate/discussions/528
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Who is researching array languages these days?
I know Accelerate is being developed at Utrecht University in the Netherlands. You can look at publications by Trevor McDonell to get a taste of what they are doing.
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Next Decade in Languages: User Code on the GPU
I’m personally a big fan of http://www.acceleratehs.org / https://github.com/AccelerateHS/accelerate-llvm
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Introduction to Doctests in Haskell
Looking for a few projects that make use of it, I found accelerate, hawk, polysemy and pretty-simple, so I'll be interested to poke around in their code and see how they have things set up.
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Monthly Hask Anything (March 2022)
There's accelerate for GPU computing and hmatrix for bindings to BLAS and LAPACK.
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Idris2+WebGL, part #12: Linear algebra with linear types... not great
I'm toying with the idea of replacing vector values with vector generators, where e.g. v1 + v2 is not evaluated to a new vector, but to a vector program. This is similar to the approaches of Accelerate and TensorFlow. On the flip side, I don't think I could get rid of the overhead, and I expect much smaller computation loads than aforementioned libraries, so overheads could be very significant. The added benefit of using vector generators is that the generator could not only be evaluated, but also be turned into a Latex formula.
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A note from our sponsor - SaaSHub
www.saashub.com | 6 Jun 2026
Stats
Basic accelerate repo stats
11
1,010
7.5
2 months ago
AccelerateHS/accelerate is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of accelerate is Haskell.
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