Installation
RIA Hub Toolkit OSS can be installed either as a Conda package or as a standard Python package.
Please note that SDR drivers must be installed separately. Refer to the relevant guide in the SDR Guides section of the documentation for additional setup instructions.
Common driver packages by device (exact package names depend on your OS):
Device |
Driver Package |
|---|---|
USRP |
UHD drivers |
Pluto |
libiio / IIO utilities |
BladeRF |
libbladeRF |
HackRF |
libhackrf |
RTL-SDR |
librtlsdr |
We want your experience with RIA Toolkit OSS to be as smooth and frictionless as possible. If you run into any
issues during installation, please reach out to our support team: support@qoherent.ai.
Installation with Conda (recommended)
Conda packages for RIA Toolkit OSS are available on the RIA Hub here.
RIA Toolkit OSS can be installed into any Conda environment. However, it is recommended to install within the base environment of Radioconda, which includes GNU Radio and several pre-configured libraries for common SDR devices. Detailed instructions for installing and setting up Radioconda are available in the project README.
Please follow the steps below to install RIA Toolkit OSS using Conda:
Before installing RIA Toolkit OSS into your Conda environment, update the Conda package manager:
conda update --force conda
This ensures that the Conda package manager is fully up-to-date, allowing new or updated packages to be installed into the base environment without conflicts.
Add RIA Hub to your Conda channel configuration:
conda config --add channels https://riahub.ai/api/packages/qoherent/conda
Activate your Conda environment and install RIA Toolkit OSS. For example, with Radioconda:
conda activate base conda install ria-toolkit-oss
After installing RIA Toolkit OSS, verify that the installation was successful by running:
conda listIf installation was successful, you should see a line item for ria-toolkit-oss:
ria-toolkit-oss <version> <build> https://riahub.ai/api/packages/qoherent/conda
Installation with pip
RIA Toolkit OSS is available as a standard Python package on both RIA Hub here and PyPI here.
These packages can be installed into a standard Python virtual environment using pip. For help getting started with Python virtual environments, please refer to the following tutorial: Python Virtual Environments.
Please follow the steps below to install RIA Toolkit OSS using pip:
Create and activate a Python virtual environment:
On Linux/macOS:
python3 -m venv venv source venv/bin/activate
On Windows (Command Prompt):
python -m venv venv venv\Scripts\activate
Upgrade pip and install RIA Toolkit OSS:
pip install --upgrade pip pip install ria-toolkit-oss
Verify the CLI is available:
ria --helpA successful install prints the top-level help text.
pyproject.tomlregisters two entrypoints —riaandria-tools— that both point to the same CLI module.
RIA Toolkit OSS can also be installed from RIA Hub. However, RIA Hub does not yet support a proxy or cache for public packages.
We intend to add this missing functionality soon. In the meantime, please use the --no-deps option with pip to skip automatic
dependency installation, and then manually install each dependency afterward.
Installation from source
Finally, RIA Toolkit OSS can be installed directly from the source code. This approach is only recommended if you require an unpublished or development version of the project. Follow the steps below to install RIA Toolkit OSS from source:
Clone the repository. For example:
git clone https://riahub.ai/qoherent/ria-toolkit-oss.git
Navigate into the project directory:
cd ria-toolkit-oss
Install with pip:
pip install .
For local development, use
pip install -e .instead to install in editable mode so local changes take effect immediately without reinstalling.