PyTorch Geometric provides graph neural network tools and libraries for PyTorch projects.
Open source
24 alternativesVectorFlow
Minimalist neural network library optimized for sparse data and single machine environments.
About VectorFlow
VectorFlow is an open-source neural network library distributed as a D dub package on GitHub. It is optimized for sparse data and single-machine environments, has no library dependencies beyond a recent D compiler, and is tested on Linux and macOS. The repository includes an RCV1 sparse logistic regression example, runs tests with dub test, and provides documentation through ddoc and the repository wiki; LDC is recommended for the fastest runtime speed.
Key features
- Minimalist neural network library optimized for sparse data
- Intended for single-machine environments
- Distributed as a dub package with no library dependencies
- Requires a recent D compiler; LDC recommended for speed
- Includes an RCV1 sparse logistic regression example
- Open source under Apache-2.0 license
Best for: D language developers working with sparse data on a single machine who need a minimal neural network library.
Good for
- Optimized for sparse data and single-machine environments
- No library dependencies beyond a recent D compiler
- Open source under the Apache-2.0 license
Watch out for
- Targeted at single-machine environments
- Requires a recent D compiler and dub tooling
- Tested on Linux and macOS; other platforms are not listed
VectorFlow at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Platforms
- Linux, macOS
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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VectorFlow FAQ
How is VectorFlow installed?
It is distributed as a dub package; add vectorflow to the dependencies section of dub.json, for example "vectorflow": "~>1.0.2".
What compiler versions are tested?
The source lists LDC >= 1.1.1 and DMD >= 2.073.1, with LDC recommended for the fastest runtime speed.
What license does the repository use?
The repository uses the Apache-2.0 license.
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