Skip to main content

Lunascope

An interactive desktop application for sleep signal visualization, annotation, and analysis — built on the Luna ecosystem.

Lunascope interface


Lunascope is a native desktop application that puts Luna's full analytical engine — the same one used in command-line and Python workflows — behind an interactive graphical interface. Signals, annotations, and derived outputs can be inspected, modified, and re-analyzed within a single session, with changes propagated immediately between the visual layer and the underlying data model.

Lunascope is aimed at sleep researchers, clinical scientists, and trainees who need to review PSG recordings, manage annotations, run automated staging, or explore cohort-level summaries without leaving the graphical environment — while remaining able to drop into scripted or batch analysis at any point.


Features

  • Synchronized multichannel viewer — pan and zoom across hours of EEG, EMG, EOG, and other channels with responsive decimated rendering
  • Hypnogram display — color-coded sleep staging synchronized with the signal viewer
  • Spectral summaries — per-channel power spectra and spectrograms updated on the fly
  • Annotation editor — create, edit, and delete interval annotations; changes are immediately reflected in Luna's data model
  • Automated sleep staging — POPS and SOAP models accessible directly from the interface
  • Cohort-level Explorer — Hypnoscope alignment, annotation summaries, waveform displays, and table-based plots across a sample list
  • Moonbeam data module — import recordings directly from NSRR or an authorized NIH BioData Catalyst Gen3 project into the analysis context
  • Embedded scripting console — execute any Luna command and receive structured result tables without leaving the application
  • Command browser — searchable Luna command and parameter reference with embedded documentation
  • Multiday / actigraphy views — support for EDF+D gapped recordings and long-form waveform review
  • Session save/restore — full application state (layout, loaded files, annotations) persists across launches

Installation

Standalone binaries (no Python required)

Pre-built apps for macOS and Windows are available from the Latest Build release.

macOS

  1. Download Lunascope-macOS-Silicon-Desktop.dmg for Apple Silicon or Lunascope-macOS-Intel-Desktop.dmg for Intel Macs.
  2. Open the .dmg, then drag Lunascope.app into Applications or another folder.
  3. First launch: right-click → Open to bypass Gatekeeper, then click Open. If you see "will damage your computer" with no Open option, run once in Terminal:
    xattr -dr com.apple.quarantine /path/to/Lunascope.app
    
  4. If the Desktop build is blocked by local security tools, download the matching Lunascope-macOS-*-Diagnostic.zip, unzip it, and run Lunascope.app from the extracted folder.

Windows

  1. Download and run Lunascope-Windows-Desktop-Setup.exe.
  2. Launch Lunascope from the Start menu or desktop shortcut.
  3. First launch: click More info → Run anyway if SmartScreen appears.
  4. If the Desktop installer is blocked by local security tools or install permissions, download Lunascope-Windows-Diagnostic.zip, unzip it, and double-click Lunascope.exe in the extracted folder.

These binaries are unsigned. Browser or antivirus warnings are expected. The source is fully open and auditable here.

From PyPI

pip install lunascope
lunascope

If lunascope is on your PATH, that is the simplest launch command. If the console script is not available in your shell, the module entry point is equivalent:

  • python -m lunascope works when python points to the interpreter where lunascope was installed
  • python3 -m lunascope is often the right choice on macOS/Linux when the Python 3 executable is named python3
  • py -m lunascope is the usual Windows launcher form when using Python from python.org

Pre-populating a session from the command line

The optional positional FILE loads a sample list, EDF, annotation file, folder, or .lss session. --param/-p fills the Parameters dock, while --script/-s fills the Console dock. --cmap/-c can likewise pre-populate a channel map:

lunascope cohort.lst --param defaults.param --script analysis.lua --cmap channels.txt

These files are loaded into the editors; the script is not evaluated until you click Evaluate.

Using a virtual environment (recommended)

python3 -m venv .venv
source .venv/bin/activate   # Windows: .venv\Scripts\activate
pip install lunascope
lunascope

Using pipx

pipx install lunascope
lunascope

Requirements

  • Python 3.9–3.14 (CPython; PyPy not supported)
  • Supported platforms: macOS (Intel & Apple Silicon), Linux (x86_64), Windows 10/11 (x86_64)
  • On macOS with Homebrew Python, use a virtual environment or pipx to avoid the "externally managed environment" error.
  • On Windows, install Python from python.org and check "Add Python to PATH".

Updating / uninstalling

pip install --upgrade lunascope   # upgrade
pip uninstall lunascope           # remove
# or with pipx:
pipx upgrade lunascope
pipx uninstall lunascope

Documentation

Resource URL
Luna ecosystem https://zzz.nyspi.org/luna/
Lunascope docs https://zzz.nyspi.org/luna/lunascope/
lunapi notebooks https://github.com/remnrem/luna-api/tree/main/notebooks
NSRR https://sleepdata.org

Contributing

See CONTRIBUTING.md for guidelines on bug reports, feature requests, and pull requests.

Questions / Support

Open an issue on GitHub or write to luna.remnrem@gmail.com.

Metadata

Release files for lunascope 1.7.0

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

Built distribution (wheel)

Table of built distributions (wheels) for lunascope 1.7.0
File Interpreter ABI Platform
lunascope-1.7.0-py3-none-any.whl Python 3 none any Details

Release files / lunascope-1.7.0-py3-none-any.whl

Download URL lunascope-1.7.0-py3-none-any.whl
Size 571.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6c8181b75526270186372ca47d28d28d3c29f15eb7cc9f59724b93eaadec5b6f
BLAKE2b-256 checksum
How to use checksums
1be59e6fbfb4b73d61f8cb6b29ed8aed849bb557623dffef3a07718385758122
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.14

Release history Release notifications | RSS feed

This release

1.7.0 This release

1 release file

1.6.8

1 release file

1.6.7

1 release file

1.6.5

1 release file

1.6.4

1 release file

1.6.3

1 release file

1.6.2

1 release file

1.6.1

1 release file

1.6.0

1 release file

1.5.8

1 release file

1.5.7

1 release file

1.5.6

1 release file

1.5.5

1 release file

1.5.3

1 release file

1.5.2

1 release file

1.5.1

1 release file

1.5.0

1 release file

0.9.9

1 release file

0.9.3

1 release file

0.9.2

1 release file

0.9.1

1 release file

0.9.0

1 release file

0.3.2

1 release file

0.3.1

1 release file

0.2.9

1 release file

0.2.8

1 release file

0.2.7

1 release file

0.2.6

1 release file

0.2.5

1 release file

0.2.4

1 release file

0.2.3

1 release file

0.2.2

1 release file

0.2.1

1 release file

0.2.0

1 release file

0.1.9

1 release file

0.1.8

1 release file

0.1.7

1 release file

0.1.6

1 release file

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