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Open Source

NCNN

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Our verdict

Not reviewed yet

We have not reviewed NCNN yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About NCNN

NCNN is a C++ neural network inference framework optimized for mobile and embedded devices. It prioritizes low latency and minimal memory footprint, enabling on-device model execution without cloud dependencies. The framework supports quantization and model compression to fit resource-constrained environments.

Best for

Mobile and embedded developers building latency-critical inference applications on constrained hardware

Use cases

  • Running computer vision models on Android and iOS without server calls
  • Deploying lightweight NLP inference on edge devices
  • Building real-time mobile applications with local model inference

Notes

23,318 stars on GitHub. Last updated 2026-05-30.

Pros

  • Extremely fast inference on mobile CPUs with minimal memory overhead
  • No external dependencies, pure C++ implementation
  • Strong community support with 23k+ GitHub stars and active maintenance

Cons

  • Steep learning curve for developers unfamiliar with C++ and mobile deployment
  • Limited built-in support for dynamic shapes and complex control flow
  • Smaller ecosystem compared to TensorFlow Lite or ONNX Runtime

Key facts

What we have checked

Latest version
20261020 (released 20 Oct 2026)
Checked GitHub
GitHub stars
23,873
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How NCNN is growing

GitHub stars

23,318 to 23,873

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to NCNN

RecordTypeHow we knowChecked
FeatherCNNAlternative to thisOpen sourceNamed in the listingNot dated
TVMAlternative to thisOpen sourceNamed in the listingNot dated
CaffeThis is an alternative to itOpen sourceNamed in the listingNot dated
PyTorchThis is an alternative to itOpen sourceNamed in the listingNot dated
TensorFlowThis is an alternative to itOpen sourceNamed in the listingNot dated

Compare

Compare NCNN side by side

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 20261020

    Source: GitHub

  2. Released 20260526

    Source: GitHub

  3. Released 20260113

    Source: GitHub

  4. Released 20250916

    Source: GitHub

  5. Released 20250503

    Source: GitHub

  6. Released 20250428

    Source: GitHub

  7. Released 20241226

    Source: GitHub

  8. Released 20240820

    Source: GitHub

  9. Released 20240410

    Source: GitHub

  10. Released 20240102

    Source: GitHub

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