miniF2F VS jaxtyping

Compare miniF2F vs jaxtyping and see what are their differences.


Formal to Formal Mathematics Benchmark (by openai)


Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. (by patrick-kidger)
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miniF2F jaxtyping
4 7
258 973
3.5% 7.1%
0.0 8.3
9 months ago 3 days ago
Objective-C++ Python
- GNU General Public License v3.0 or later
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 miniF2F. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-11.


Posts with mentions or reviews of jaxtyping. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-21.

What are some alternatives?

When comparing miniF2F and jaxtyping you can also consider the following projects:

tensor_annotations - Annotating tensor shapes using Python types

torchtyping - Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

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diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable.

FL - FL language specification and reference implementations

plum - Multiple dispatch in Python

dex-lang - Research language for array processing in the Haskell/ML family

madtypes - Python Type that raise TypeError at runtime

hasktorch - Tensors and neural networks in Haskell

pytype - A static type analyzer for Python code