embedl-hub 2025.9.2

The official Embedl Hub Python client library.

Embedl Hub Python library

Embedl Hub is a platform for building efficient edge AI applications. With Embedl Hub, you can:

• Find the best model for your application using on-device benchmarks.
• Fine-tune the model on your own dataset and benchmark it on your target device.
• Deploy your application with the confidence that your model meets your performance requirements.

The Embedl Hub Python library (embedl-hub) lets you interact with Embedl Hub in scripts and from your terminal. Create a free Embedl Hub account to get started with the embedl-hub library.

Installation

The simplest way to install embedl-hub is through pip:

pip install embedl-hub

Quickstart

We recommend using our end-to-end workflow CLI to quickly get started building your edge AI application:

 Usage: embedl-hub [OPTIONS] COMMAND [ARGS]...

 embedl-hub end-to-end Edge-AI workflow CLI


╭─ Options ───────────────────────────────────────────────────────────────────────────────────────────────────╮
│ --version             -V               Print embedl-hub version and exit.                                   │
│ --verbose             -v      INTEGER  Increase verbosity (-v, -vv, -vvv).                                  │
│ --install-completion                   Install completion for the current shell.                            │
│ --show-completion                      Show completion for the current shell, to copy it or customize the   │
│                                        installation.                                                        │
│ --help                                 Show this message and exit.                                          │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─ Commands ──────────────────────────────────────────────────────────────────────────────────────────────────╮
│ init           Create new or load existing project and/or experiment.                                       │
│ show           Print active project/experiment IDs and names.                                               │
│ tune           Fine-tune a model on your dataset.                                                           │
│ compile        Compile an TorchScript/ONNX model into a device ready binary using Qualcomm AI Hub.          │
│ quantize       Quantize an ONNX model using Qualcomm AI Hub.                                                │
│ benchmark      Benchmark compiled model on device and measure it's performance.                             │
│ list-devices   List all available target devices.                                                           │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

License

Copyright (C) 2025 Embedl AB

This software is subject to the Embedl Hub Software License Agreement.