Skip to main content

sleep-scoring

Sleep is a flexible open-source graphical user interface for visualization, analysis and scoring of polysomnographic sleep data. It was originally developed by Etienne Combrisson in collaboration with Raphael Vallat and Christian O Reilly. This standalone version was devleoped by Anjo Pagdanganan under the guidance of Omer Sharon at the Center for Human Sleep Sciene at UC Berkeley in order to allow direct installation in a contemporary python environment. It also includes some bug fixes and new features, such as:

  • Signal graph backgrounds colored according to hypnogram

  • Hypnogram live updates during scoring

  • Option to save old and new formats for hypnogram data

/docs/picture/picsleep/sleep_info.png

A copy of the relevant documentation is provided in this repo, but can also be found at the original Visbrain repo. This copy contains not just the documentation for Sleep, but also the rest of Visbrain’s documentation for archival purposes.

Example code can be found under examples/gui_sleep

Installation

It is recommended to install this in a virtual environment using conda. This package was developed on Python 3.12 but has been shown to work with Python >= 3.9.:

python -m pip install sleep-scoring

(It is recommended to preface pip with python -m to ensure it uses the virtual environment’s installation of python)

Start scoring

Sleep can be deployed using this python script (see examples/basic_sleep.py):

from sleep_scoring.gui import Sleep

Sleep().show()

You can either start Python in the terminal with the python command and write the commands there, or you can create a python script and run it.

Citation

Combrisson E, Vallat R, Eichenlaub J-B, O’Reilly C, Lajnef T, Guillot A, Ruby PM and Jerbi K (2017) Sleep: An Open-Source Python Software for Visualization, Analysis, and Staging of Sleep Data. Front. Neuroinform. 11:60. doi: 10.3389/fninf.2017.00060

Metadata

Release files for sleep-scoring 0.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sleep-scoring 0.0.4
File Size Uploaded Provenance Actions
sleep_scoring-0.0.4.tar.gz 196.0 kB Without provenance Details for sleep_scoring-0.0.4.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for sleep-scoring 0.0.4
File Interpreter ABI Platform Actions
sleep_scoring-0.0.4-py3-none-any.whl Python 3 none any Details for sleep_scoring-0.0.4-py3-none-any.whl

Total release size: 427.2 kB

Release files / sleep_scoring-0.0.4.tar.gz

Download URL sleep_scoring-0.0.4.tar.gz
Size 196.0 kB
Tags Source
SHA-256 checksum
How to use checksums
22c4aec74e901aa934ceb4bd0d8d5ed94e680da3d92cc31158a48654b0fa7f7d
BLAKE2b-256 checksum
How to use checksums
d2f0d28595036062598d458447dfc0321e2da007d1dbcce9f038c161a24c5d21
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.11.0

Release files / sleep_scoring-0.0.4-py3-none-any.whl

Download URL sleep_scoring-0.0.4-py3-none-any.whl
Size 231.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
59e64c12d1ed13024477f17a9bbc652ce0a80e1abfa171ba02ffa2f16183d3f6
BLAKE2b-256 checksum
How to use checksums
d9d3d29d1674ef2342be134463b3ac9b78f4b4138a5157adf6b91eda6846bda2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.11.0

Security for sleep-scoring 0.0.4

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page