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nndeploy

nndeploy/nndeploy

An Easy-to-Use and High-Performance AI Deployment Framework

GraphCanon updated Sep 17, 2026 · GitHub synced Sep 17, 2026

33views this month

1.9k stars233 forksLast push Aug 15, 2026 C++ Apache-2.0

Decision brief

nndeploy provides an easy-to-use and high-performance framework for deploying AI algorithms across various platforms with support for multiple deep learning frameworks.

Good fit when

  • If you need a tool that supports both Python and C++ custom nodes, integrating well into visual workflow design.
  • For projects requiring deployment on desktops, mobile devices, edge computing systems, and servers with efficient parallelization methods.

Avoid when

  • Do not use if your project only requires low-level access to hardware without the need for a high-level interface like nndeploy offers.
  • If you're working exclusively on platforms or frameworks unsupported by nndeploy, such as certain proprietary or non-mainstream inference engines.

Observed Jul 16, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Steady (32d since push)
As of Sep 17, 2026
Provenance
Not a fork · Organization account
As of Sep 17, 2026
Security (OSV)
98 low (98 low)
As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/nndeploy/nndeploy

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A deployment framework designed for efficient and high-performance AI algorithm implementation across various platforms including desktops, mobile devices, edge computing systems, and servers.

Capability facts

Languages
c++

Source: github.language · Sep 17, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 17, 2026)

- **自定义节点**:支持 Python/C++自定义节点,无论是用 Python 实现预处理,还是用 C++/CUDA 编写高性能节点,均可无缝集成到与可视化工作流。
Source link

Tags

README

English 简体中文 <h3 align="center" nndeploy:一款简单易用和高性能的AI部署框架 </h3 <p align="center" <a href="https://github.com/nndeploy/nndeploy/actions/workflows/linux.yml" <img src="https://github.com/nndeploy/nndeploy/actions/workflows/linux.yml/badge.svg" alt="Linux" style="height: 16px;" </a...

For agents

This page has a .md twin and JSON over the API.

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