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  Conda support Stable

  michael released this 2025-09-10 15:41:13 -04:00 | 3 commits to main since this release

  RIA Toolkit OSS v0.1.1 - Release Notes

  This release adds Conda support for RIA Toolkit OSS. Conda is now the recommended way to install the toolkit.

  🌟 New Features

  • Added support for Conda. Conda packages are available on the RIA Hub Conda Package Registry: ria-toolkit-oss.

  🚀 Enhancements

  • Updated and clarified installation instructions, now including steps for installing with Conda.

  🐛 Bug Fixes

  • Minor docstring formatting fixes throughout the datasets package.

  🚧 Known Issues

  It’s still early days for RIA Toolkit OSS, and we appreciate your patience and support while we work through a few kinks. Please report any bugs to the project issues board: Issues.

  💡 Future Plans

  Please refer to the Initial Release for more details regarding future plans for this project.

  ℹ️ Additional Information

  SHA256 Checksums

  ria_toolkit_oss-0.1.1-py3-none-any.whl: 7b12f5efb4b33c46ae6c8414251f4aed03ced905a91733d9e0eb6d0187e663a1
  ria_toolkit_oss-0.1.1.tar.gz: b1cd38a6f2c7cea5d79ed63c1b4cf88b92c78936a08c36724696d78127afab2c
  ria-toolkit-oss-0.1.1-py_0.conda: 26c61454910a3895cc976d4d966dbc2ed6d71b47b13d3cf31424a19cd2ff02ab
  

  Changelog: v0.1.0..v0.1.1

  If you have any questions or concerns regarding this release, wish to provide feedback, or would
  like to suggest an improvement to the project, please feel free to contact the project maintainers.

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  • ria-toolkit-oss-0.1.1-py_0.conda
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  • ria_toolkit_oss-0.1.1-py3-none-any.whl
    65 KiB
  • ria_toolkit_oss-0.1.1.tar.gz
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• v0.1.0 a18d39afcd

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  Initial release Stable

  michael released this 2025-09-05 11:30:43 -04:00 | 12 commits to main since this release

  RIA Toolkit OSS - Release Notes

  Introducing RIA Toolkit OSS: An open-source version of the RIA Toolkit, providing the fundamental components to help engineers and researchers get started building, testing, and deploying radio intelligence applications.

  🌟 New Features

  On the admin side of things, we have completed the following:

  • Set up Poetry for packaging, build, and dependency management.
  • Configured pytest and tox for automated testing.
  • Set up Sphinx documentation with our our custom theme and hosted it on Read the Docs: RIA Toolkit OSS Documentation.
  • Established code style and formatting standards.
  • Added CI workflows for building the project, building the docs, testing with tox.
  • Drafted README.md file along with instructions for installation, getting started, and contributing.

  On the development side of things, we have initialized the following packages:

  • Datatypes Package:

    • Added Recording, Annotation, and RadioDataset datatypes.

  • Utils Package:

    • Added array conversion utilities for converting back and forth between the complex 1xN format and the real 2xN
      format.

  • IO Package:

    • Added basic read/write for Recording class, including support for NumPy binary files and the SigMF standard.

  • Viz Package:

    • Added functionality to create interactive Plotly visualizations for recordings, including spectrograms, time series, frequency spectra, and constellation plots.

  • Transforms Package:

    • Functionals for numerous IQ augmentation including time reversal, spectral inversion, and channel swap.
    • Functionals for numerous IQ impairments including time shift, frequency shit, and phase shift.

  🚧 Known Issues

  It’s still early days for RIA Toolkit OSS, and we appreciate your patience and support while we work out a few kinks. Please report any bugs to the project issues board: Issues.

  💡 Future Plans

  • A unified interface for interacting with software-defined radios, including USRP, BladeRF, PlutoSDR, RTL-SDR, HackRF, and thinkRF.
  • Basic model training and testing utilities.
  • Upgrading our framework for Radio Datasets to offer greater flexibility and integration with industry-standard tools, more updates coming soon!

  🙌 New Contributors

  This initial release is a collaborative effort from the Qoherent team, including various components extracted from the RIA Toolkit.

  ℹ️ Additional Information

  SHA256 Checksums

  ria_toolkit_oss-0.1.0-py3-none-any.whl: 09dd72e6a0aff172e0b1aa3d25b620905fe780e76d3f763962ec992b65490e88
  ria_toolkit_oss-0.1.0.tar.gz: 4d54544e05944ef89ab2e50058a8b2f2c0f4a1a34198b9e104a0d7103088d0ef
  

  Changelog: be7fef3..v0.1.0

  If you have any questions or concerns regarding this release, wish to provide feedback, or would
  like to suggest an improvement to the project, please feel free to contact the project maintainers.

  Downloads

  • Source Code (ZIP)
  • Source Code (TAR.GZ)
  • ria_toolkit_oss-0.1.0-py3-none-any.whl
    65 KiB
  • ria_toolkit_oss-0.1.0.tar.gz
    58 KiB