sony/nnabla

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

2774 stars · 335 forks observed · 2026-08-28

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

Sony's Neural Network Libraries (nnabla) is a deep learning framework with a Python API over a C++11 core, designed for research, development, and production across desktops, HPC clusters, embedded devices, and servers. The project officially reached end of life on April 3, 2025, with no further development or security support.

Use cases

• train neural networks in python
• deep learning framework for research and production
• run inference on embedded devices
• gpu-accelerated neural network training with cuda
• deploy neural networks to hpc clusters

When to choose

• you need a lightweight deep learning framework with a C++ core and embedded/C runtime deployment
• you are maintaining an existing nnabla-based codebase

When to avoid

• starting a new project - the project is end-of-life with no security support
• you need an actively maintained framework with current CUDA support
• you need the latest model architectures or ecosystem tooling

Facets

library · maturity abandoned

deep-learning machine-learning llm-training deep-learning machine-learning artificial-intelligence python windows cpp neural-networks cuda-extension embedded-deployment end-of-life linux macos gpu docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="sony/nnabla")