Community
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The Mojo community is where AI engineers, compiler hackers, and systems programmers come together to build the future of AI infrastructure — from kernels to cloud.
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GitHub Stars
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Collaborators
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Contributions
Community Resources
Connect, learn, and build together. Each channel offers something different—support, collaboration, or inspiration—to help you move your work forward.
Ways to contribute
One language, any hardware.
Recent Mojo projects
NuMojo
NuMojo is a library for numerical computing in Mojo 🔥 It aims to encompass the extensive numerics capabilities found in Python packages such as NumPy, SciPy, and Scikit-learn.
Mojo Numerics & Algorithms Group
7 Contributors
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Kelvin
A powerful dimensional analysis library written in Mojo for all your scientific computing needs.
Brian Grenier
Champion
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DeciMojo
DeciMojo provides an arbitrary-precision decimal and integer mathematics library for Mojo, delivering exact calculations for financial modeling, scientific computing, and applications where floating-point approximation errors are unacceptable.
Yuhao Zhu
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Mosaic
Mosaic is the first computer vision library built specifically for heterogenous compute, unifying the workflow into one language that runs on any hardware.
Christian Bator
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Ember
Ember is a quantum computing framework that provides tools for building, simulating, and analyzing quantum circuits.
Adam Smith
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Modular Champions are standout community members building with Mojo and MAX, sharing knowledge, and shaping the future of AI compute.
Owen Hilyard
Seth Stadick
Brian Grenier
Martin Vuyk
Valentin Erokhin
Sora
Maxim Zaks
Max Brylski