Enterprise DNAEnterprise DNA

Open Source

TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server.

Our verdict

Not reviewed yet

We have not reviewed TNN 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 TNN

TNN is a cross-platform deep learning inference framework developed by Tencent Youtu Lab and Guangying Lab. It optimizes model performance for mobile, desktop, and server environments through features like model compression and code pruning, building on ncnn and Rapidnet. The framework is deployed across multiple Tencent applications, including Mobile QQ and Weishi.

Best for

Developers needing optimized deep learning inference specifically on mobile devices, especially within Tencent ecosystem integrations.

Use cases

  • Deploying low-latency deep learning inference on mobile devices
  • Compressing and pruning models for efficient on-device execution
  • Running inference across iOS, Android, and desktop platforms with a unified engine

Notes

4,634 stars on GitHub. Last updated 2025-05-09.

Pros

  • High inference performance on mobile hardware through targeted optimizations
  • Built-in model compression and code pruning reduce memory footprint
  • Cross-platform support covers mobile, desktop, and server targets

Cons

  • Smaller community and fewer third-party resources compared to TensorFlow Lite or ONNX Runtime
  • Integration may require custom effort for non-Tencent use cases
  • Limited to inference; does not include training capabilities

Key facts

What we have checked

Latest version
0.3.0 (released 26 Apr 2021)
Checked GitHub
GitHub stars
4,655
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 TNN is growing

GitHub stars

4,634 to 4,655

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

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

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 0.3.0

    Source: GitHub

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.