owlbarn/owl

Health v2 · maintenance only

Adoption not part of the score

1351 stars · 131 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Owl is an OCaml library for scientific and engineering computing, providing n-dimensional arrays, linear algebra, statistics, optimization, automatic differentiation, and neural networks. It aims to be the de-facto numerical computing toolkit for the OCaml ecosystem.

Use cases

• perform linear algebra and matrix computations in OCaml
• run automatic differentiation for gradient-based optimization
• build and train neural networks in OCaml
• compute statistics, regressions, and MCMC sampling
• solve ODEs and do signal processing with FFTs
• plot and visualize numerical data

When to choose

• you need scientific computing or numerical analysis in OCaml
• you want ndarray/tensor operations with broadcasting and slicing
• you need autodiff and optimization in a typed functional language

When to avoid

• you need a large ecosystem of pretrained models like PyTorch or TensorFlow
• you are not working in OCaml
• you need GPU-heavy deep learning at scale

Facets

library · maturity active

math machine-learning data-science data-visualization deep-learning data-science mathematics machine-learning cross-platform ocaml ndarray linear-algebra automatic-differentiation scientific-computing statistics optimization mcmc neural-networks numerical-computing algorithms linux macos docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="owlbarn/owl")