Netflix/vectorflow

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1294 stars · 88 forks observed · 2026-08-28

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

Vectorflow is a minimalist neural network library written in D, optimized for sparse data and single-machine training environments. It is distributed as a dub package and requires only a D compiler with no external dependencies.

Use cases

• train neural networks on sparse data
• run logistic regression on text datasets like RCV1
• build lightweight ML models without GPU clusters
• experiment with deep learning in the D language
• train embeddings on a single machine

When to choose

• your data is sparse and fits on a single machine
• you want a dependency-free, minimalist neural net library
• you work in the D ecosystem and want fast LDC-compiled training

When to avoid

• you need distributed or multi-GPU training
• you need a large ecosystem of pretrained models and tooling
• your team does not use the D language

Facets

library · maturity maintenance

machine-learning deep-learning machine-learning cross-platform neural-networks sparse-data d-language single-machine algorithms linux macos

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markdown · JSON · MCP: product_card(name="Netflix/vectorflow")