embedl-hub 2026.2.1

The official Embedl Hub Python client library.

Embedl Hub Python library

Optimize and deploy your model on any edge device with the Embedl Hub Python library:

• Quantize your model for lower latency and memory usage.
• Compile your model for execution on CPU, GPU, NPU or other AI accelerators on your target devices.
• Benchmark your model's latency and memory usage on real edge devices in the cloud.

The library logs your metrics, parameters, and benchmarks on the Embedl Hub website, allowing you to inspect, compare, and reproduce your results.

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 ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ auth           Store the API key for embedl-hub CLI.                                                                                                                │
│ init           Configure persistent CLI context.                                                                                                                    │
│ show           Print active project/experiment IDs and names.                                                                                                       │
│ compile        Compile a model into a device ready binary using Qualcomm AI Hub.                                                                                    │
│                Qualcomm AI Hub may return a zip file containing multiple files.                                                                                     │
│ quantize       Quantize an ONNX model using Qualcomm AI Hub.                                                                                                        │
│                Qualcomm AI Hub may return a zip file containing multiple files.                                                                                     │
│ 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.