crystal-fann
crystal-fann provides Crystal language bindings for the FANN artificial neural network library.
About crystal-fann
crystal-fann provides Crystal bindings for the FANN C library for artificial neural networks. It supports creating Standard and Cascade networks, randomizing weights, training on single samples or batched TrainData, and running networks on new inputs. It is installed as a shard dependency.
Networks must be closed when done to free allocated C memory. For function usage, the source points to the repository spec files and the FANN C library documentation.
Key features
- Bind Crystal code to the FANN C library
- Create standard networks with defined layer sizes
- Create cascade networks without preset hidden layers
- Randomize network weights within a specified range
- Train on single samples or batched TrainData sets
- Run network on input to get output
Best for: Crystal developers who want to use the FANN C library for neural network work.
Good for
- Includes examples for Standard, batched, and Cascade training
- Supports single-sample and batched training with configurable parameters
- Installs as a Crystal shard dependency under MIT license
Watch out for
- Networks must be manually closed to free allocated C memory
- Users must consult spec files and external C library docs for functions
crystal-fann at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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crystal-fann FAQ
How do I install crystal-fann?
Add crystal-fann with github: NeuraLegion/crystal-fann to the dependencies in your application's shard.yml.
Do I need to free memory after using a network?
Yes. Call close on the network when done to free allocated C memory.
Where is documentation for available functions?
Check the spec files in the repository and the FANN C library docs at http://libfann.github.io/fann/docs/files/fann-h.html.
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