Skip to main content

Python client for Radiens neuroscience platform

Project description

radiens-core

The next-generation Python interface for the Radiens neuroscience platform.

Overview

radiens-core is a modern, high-performance Python client designed to interface seamlessly with the Radiens electrophysiology ecosystem. This package represents a complete re-imagining of the original Radiens client, built from the ground up to provide a more intuitive, reliable, and efficient experience for researchers.

Whether you are performing real-time data acquisition, conducting deep offline analysis, or managing complex data curation workflows, radiens-core provides the foundational tools required for modern neuroscience research.

Key Capabilities

  • Real-time Acquisition (AllegoClient): Connect to live acquisition streams, monitor system status, and control hardware parameters with minimal latency.
  • Offline Analysis (VidereClient): Efficiently access and process recorded electrophysiology data for post-hoc analysis and visualization.
  • Data Curation (CurateClient): Streamline data management, conversion, and organization within the Radiens environment.

Documentation

Comprehensive documentation, including API references and detailed usage guides, is available at:

👉 https://neuronexus.github.io/radiens-core-python/

Installation

pip install radiens-core

Note: Access to the Radiens platform and valid credentials are required.

Support

For technical support or inquiries regarding the Radiens platform:

License

This project is licensed under the terms of the LICENSE file.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

radiens_core-0.0.0b7.tar.gz (325.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

radiens_core-0.0.0b7-py3-none-any.whl (228.8 kB view details)

Uploaded Python 3

File details

Details for the file radiens_core-0.0.0b7.tar.gz.

File metadata

  • Download URL: radiens_core-0.0.0b7.tar.gz
  • Upload date:
  • Size: 325.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for radiens_core-0.0.0b7.tar.gz
Algorithm Hash digest
SHA256 d70a72c4b935201fa6e413b9c0910e49d36f9b800ea1f79b9b80fec6361550f1
MD5 31ac751a91947ea6704a05fe43a86b8a
BLAKE2b-256 8e5d9a263b59b879bac45f7f252bf414318c0226f830dcb22f7a2c1c6b8dc698

See more details on using hashes here.

Provenance

The following attestation bundles were made for radiens_core-0.0.0b7.tar.gz:

Publisher: publish.yml on NeuroNexus/radiens-core-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file radiens_core-0.0.0b7-py3-none-any.whl.

File metadata

  • Download URL: radiens_core-0.0.0b7-py3-none-any.whl
  • Upload date:
  • Size: 228.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for radiens_core-0.0.0b7-py3-none-any.whl
Algorithm Hash digest
SHA256 a7699ca5548d856becff138527a85567134ce0e5fd0fda5344c98ff300f73de9
MD5 05c4e85d0224e6f030fca20a77e40fe4
BLAKE2b-256 c8daec8a98963d23734e4b4ebee347ddf262c09d52ed18614dd5ed3bedb71508

See more details on using hashes here.

Provenance

The following attestation bundles were made for radiens_core-0.0.0b7-py3-none-any.whl:

Publisher: publish.yml on NeuroNexus/radiens-core-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page