Model Hubs & Serving

Synapses

Neural network library in F# for deep learning applications.

Status
UnmaintainedNo commits in 1797 days.
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Synapses is a neural network library written in F#, providing developers with tools to build and train deep learning models. It's particularly useful for those working within the .NET ecosystem who prefer functional programming paradigms.

Synapses stands out as one of the few deep learning libraries that integrates seamlessly with F# and the broader .NET ecosystem, offering a unique blend of functional programming principles and neural network capabilities.

When it fits — and when it doesn’t

A good fit for

  • Developers working with F# who need a deep learning library integrated into their existing codebase.

  • Researchers looking for a functional programming approach to neural networks.

Look elsewhere if

  • Projects requiring real-time performance optimizations not available in the .NET ecosystem

  • Teams preferring imperative or object-oriented approaches over functional programming

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support restricts usage outside F# and .NET ecosystem

    Synapses is primarily developed in F#, with limited direct support for other languages within the .NET framework

  2. 02

    Small community可能导致发展缓慢和资源有限

  3. 03

    文档不足使得学习曲线陡峭

    官方文档不全面,缺乏详细的教程和示例代码,增加了新手的学习难度

  4. 04

    性能问题可能影响大规模模型训练

    在处理大型数据集或复杂神经网络架构时,Synapses可能存在性能瓶颈,导致训练时间过长

What it does well

  • Functional programming approach to neural networks

  • Integration with .NET ecosystem

  • Support for various deep learning architectures

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up Synapses

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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