Sony

aid: sony
url: https://raw.githubusercontent.com/api-evangelist/sony/refs/heads/main/apis.yml
name: Sony
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
  - Technology
  - Consumer Electronics
  - Gaming
  - Entertainment
  - Artificial Intelligence
description: >-
  Sony Group Corporation is a Japanese multinational spanning electronics,
  gaming, entertainment, image sensors, and financial services. Sony's
  developer-facing surface includes the Neural Network Libraries (NNabla)
  deep-learning framework, the Spresense IoT board SDK, Sonyflake distributed
  ID service, and a portfolio of Go and embedded-Linux open-source tooling
  maintained on github.com/Sony.
created: '2026-05-05'
modified: '2026-05-16'
specificationVersion: '0.19'
apis:
  - aid: sony:nnabla
    name: Sony Neural Network Libraries (NNabla)
    tags:
      - Machine Learning
      - Deep Learning
      - Open Source
    image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    humanURL: https://nnabla.org/
    properties:
      - url: https://github.com/sony/nnabla
        type: SourceCode
      - url: https://nnabla.readthedocs.io/
        type: Documentation
      - url: https://github.com/sony/nnabla-examples
        type: Samples
      - url: https://pypi.org/project/nnabla/
        type: Package
      - url: json-schema/nnabla-network-schema.json
        type: JSONSchema
    description: >-
      NNabla is Sony's open-source deep-learning framework with Python and C++
      bindings, dynamic and static computation graphs, GPU/CUDA acceleration,
      and a model format for training and inference. Distributed under Apache
      2.0.
  - aid: sony:sonyflake
    name: Sonyflake Distributed ID Generator
    tags:
      - Distributed Systems
      - Open Source
      - Identifiers
    image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    humanURL: https://github.com/sony/sonyflake
    properties:
      - url: https://github.com/sony/sonyflake
        type: SourceCode
      - url: https://pkg.go.dev/github.com/sony/sonyflake
        type: Documentation
      - url: json-schema/sonyflake-id-schema.json
        type: JSONSchema
    description: >-
      Sonyflake is a Go library producing 63-bit unique IDs inspired by
      Twitter's Snowflake but tuned for longer machine-ID space and longer
      lifetime. MIT licensed.
  - aid: sony:gobreaker
    name: Sony gobreaker Circuit Breaker
    tags:
      - Resilience
      - Open Source
      - Microservices
    image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    humanURL: https://github.com/sony/gobreaker
    properties:
      - url: https://github.com/sony/gobreaker
        type: SourceCode
      - url: https://pkg.go.dev/github.com/sony/gobreaker
        type: Documentation
    description: >-
      gobreaker is a Go implementation of the Circuit Breaker pattern, widely
      used in microservice resilience designs. MIT licensed.
  - aid: sony:spresense-sdk
    name: Sony Spresense SDK
    tags:
      - IoT
      - Embedded
      - Edge Computing
      - SDK
    image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    humanURL: https://developer.sony.com/spresense/
    properties:
      - url: https://github.com/sonydevworld/spresense
        type: SourceCode
      - url: https://developer.sony.com/spresense/development-guides/
        type: Documentation
      - url: https://www.sony-semicon.com/en/products/spresense/
        type: ProductPage
    description: >-
      Spresense is Sony's hexa-core Cortex-M4F IoT board powered by the
      CXD5602 chipset. The Spresense SDK provides NuttX-based C/C++ APIs for
      multi-GNSS positioning, high-resolution audio, camera capture, and LTE
      connectivity at the edge.
common:
  - type: LinkedIn
    url: https://www.linkedin.com/company/sony
  - type: Website
    url: https://www.sony.com/
  - type: GitHubOrg
    url: https://github.com/Sony
  - type: OpenSourcePortal
    url: https://oss.sony.net/
  - type: SpectralRules
    url: rules/sony-spectral-rules.yml
  - type: NaftikoCapability
    url: capabilities/sony-developer-platform.yaml
  - type: Vocabulary
    url: vocabulary/sony-vocabulary.yml
  - type: Features
    data:
      - name: Deep Learning Framework
        description: NNabla provides dynamic and static computation graphs for training and inference
      - name: Distributed ID Generation
        description: Sonyflake mints 63-bit time-ordered unique IDs across distributed nodes
      - name: Circuit Breaker Resilience
        description: gobreaker brings circuit-breaker resilience to Go microservice fleets
      - name: Edge IoT Compute
        description: Spresense delivers hexa-core Cortex-M4F compute with GNSS, audio, and LTE
      - name: Open Source Licensing
        description: Sony publishes most libraries under Apache 2.0 or MIT
  - type: UseCases
    data:
      - name: ML Model Training
        description: Train and deploy deep-learning models with NNabla on GPUs and embedded devices
      - name: Globally Unique IDs
        description: Generate guaranteed-unique identifiers for events, orders, and records
      - name: Resilient Microservices
        description: Use gobreaker to prevent cascading failures in distributed services
      - name: IoT Sensing and Positioning
        description: Build asset tracking, agricultural sensing, and infrastructure inspection with Spresense
      - name: Edge AI Inference
        description: Combine NNabla and Spresense to run inference at the edge with low power
  - type: Integrations
    data:
      - name: Python Ecosystem
        description: NNabla integrates with NumPy, PyTorch comparators, and ONNX export
      - name: Go Ecosystem
        description: Sonyflake and gobreaker are widely adopted Go libraries
      - name: Arduino IDE
        description: Spresense ships an Arduino-compatible toolchain in addition to the NuttX SDK
      - name: CUDA
        description: NNabla can target NVIDIA CUDA-enabled GPUs for accelerated training
maintainers:
  - FN: Kin Lane
    email: [email protected]