lunapi

Python interface to the Luna C/C++ sleep-signal analysis engine.

lunapi exposes the full Luna command set to Python, enabling scripted and notebook-based workflows for polysomnographic (PSG) data — using the same analytical core as the Luna command-line tool and the Lunascope desktop application.

Statement of Need

Large-scale sleep research increasingly requires processing thousands of PSG recordings programmatically, while maintaining the ability to inspect individual records interactively. Existing Python EEG libraries are general-purpose frameworks that lack dedicated sleep-analysis primitives. lunapi provides direct Python access to Luna's domain-specific command set — covering spectral analysis, sleep staging, annotation handling, artifact detection, connectivity, and more — without requiring users to leave the Python/notebook environment or learn the Luna command-line interface.

Features

  • Full Luna command set — run any Luna command (PSD, SPINDLES, SOAP, POPS, …) directly from Python and receive structured results as DataFrames
  • Project-level workflows — load a sample list and execute commands across an entire cohort in a few lines
  • Per-recording access — attach EDF and annotation files, extract raw signals and annotation events, insert or modify signals in memory
  • Structured output — results returned as pandas DataFrames keyed by command and stratum
  • SQLite result stores — write output to .db files that can be queried as virtual TSV-like tables
  • Sleep staging — SOAP and POPS automated staging models accessible directly from Python
  • Visualization helpers — hypnogram, PSD, spectrogram, and topographic map plotting for notebooks
  • NSRR Moonbeam — download and attach recordings directly from the National Sleep Research Resource
  • GPA association modeling — linear association analysis on cohort-level result matrices
  • Docker containers — pre-built images with Luna, lunapi, and all dependencies

Installation

lunapi is distributed as a binary wheel via PyPI (no compiler required):

pip install lunapi

Supported platforms: macOS (Intel & Apple Silicon), Linux (x86_64), Windows 10/11 (x86_64), Python 3.9–3.14.

Using a virtual environment is recommended:

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

Worked Example

Single-recording workflow

import lunapi as lp

# Create a project and attach a recording
p = lp.proj(verbose=False)
rec = p.inst("my_subject")
rec.attach_edf("/path/to/recording.edf")
rec.attach_annot("/path/to/recording.annot")

# List available channels
print(rec.chs())

# Run a Luna command and retrieve results as a DataFrame
rec.eval("PSD sig=EEG dB spectrum")
df = rec.table("PSD", "CH_F")
print(df.head())

Cohort workflow

import lunapi as lp

p = lp.proj(verbose=False)
p.sample_list("study.lst")        # three-column file: ID, EDF path, annot path

# Run PSD across all recordings (returns dict of DataFrames)
results = p.proc("PSD sig=EEG dB spectrum")
df = results["PSD"]["CH_F"]
print(df.groupby("CH")["PSD"].mean())

Automated sleep staging

rec.eval("RUN-POPS sig=C3 ref=M2 path=~/dropbox/pops")   # point to downloaded POPS models
stages = rec.table("RUN_POPS", "E")   # per-epoch predictions
print(stages["PRED"].value_counts())

Full documentation, command reference, and interactive notebooks are at zzz.nyspi.org/luna/.

Testing

pip install -e ".[dev]"
pytest

This runs 59 tests covering the core workflow (load instance, run commands, retrieve tables, extract signals, annotation handling, sample-list workflow), visualization helpers, GPA utilities, and package smoke tests. No real EDF files are required — a synthetic in-memory recording is generated by the test fixtures.

Documentation

Resource URL
Luna ecosystem https://zzz.nyspi.org/luna/
lunapi notebooks https://github.com/remnrem/luna-api/tree/main/notebooks
Lunascope desktop app https://github.com/Lorcan7274/lunascope
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.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.7.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for remnrem from gravatar.com remnrem

Credits

Author: Shaun Purcell

Maintainer: Tejas Karkera

License

GNU General Public License v3 (GPLv3) (GNU GENERAL PUBLIC LICENSE)

Requires

Python <3.15, >=3.9

Provides Extra

dev

Tags

Sleep EEG PSG Luna Signal processing

Classifiers

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.7.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for remnrem from gravatar.com remnrem

Credits

Author: Shaun Purcell

Maintainer: Tejas Karkera

License

GNU General Public License v3 (GPLv3) (GNU GENERAL PUBLIC LICENSE)

Requires

Python <3.15, >=3.9

Provides Extra

dev

Tags

Sleep EEG PSG Luna Signal processing

Classifiers

Report project as malware

Release files for lunapi 1.6.7

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

Built distributions (wheels)

Table of built distributions (wheels) for lunapi 1.6.7
File
lunapi-1.6.7-cp314-cp314-win_amd64.whl 11.9 MB CPython 3.14 CPython 3.14 Windows x86-64 Details
lunapi-1.6.7-cp314-cp314-manylinux_2_28_x86_64.whl 13.5 MB CPython 3.14 CPython 3.14 Linux glibc 2.28+ x86-64 Details
lunapi-1.6.7-cp314-cp314-macosx_11_0_arm64.whl 8.7 MB CPython 3.14 CPython 3.14 macOS 11.0+ ARM64 Details
lunapi-1.6.7-cp314-cp314-macosx_10_15_x86_64.whl 9.7 MB CPython 3.14 CPython 3.14 macOS 10.15+ x86-64 Details
lunapi-1.6.7-cp313-cp313-win_amd64.whl 11.7 MB CPython 3.13 CPython 3.13 Windows x86-64 Details
lunapi-1.6.7-cp313-cp313-manylinux_2_28_x86_64.whl 13.5 MB CPython 3.13 CPython 3.13 Linux glibc 2.28+ x86-64 Details
lunapi-1.6.7-cp313-cp313-macosx_11_0_arm64.whl 8.7 MB CPython 3.13 CPython 3.13 macOS 11.0+ ARM64 Details
lunapi-1.6.7-cp313-cp313-macosx_10_14_x86_64.whl 9.7 MB CPython 3.13 CPython 3.13 macOS 10.14+ x86-64 Details
lunapi-1.6.7-cp312-cp312-win_amd64.whl 11.7 MB CPython 3.12 CPython 3.12 Windows x86-64 Details
lunapi-1.6.7-cp312-cp312-manylinux_2_28_x86_64.whl 13.5 MB CPython 3.12 CPython 3.12 Linux glibc 2.28+ x86-64 Details
lunapi-1.6.7-cp312-cp312-macosx_11_0_arm64.whl 8.7 MB CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
lunapi-1.6.7-cp312-cp312-macosx_10_14_x86_64.whl 9.7 MB CPython 3.12 CPython 3.12 macOS 10.14+ x86-64 Details
lunapi-1.6.7-cp311-cp311-win_amd64.whl 11.7 MB CPython 3.11 CPython 3.11 Windows x86-64 Details
lunapi-1.6.7-cp311-cp311-manylinux_2_28_x86_64.whl 13.5 MB CPython 3.11 CPython 3.11 Linux glibc 2.28+ x86-64 Details
lunapi-1.6.7-cp311-cp311-macosx_11_0_arm64.whl 8.7 MB CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details
lunapi-1.6.7-cp311-cp311-macosx_10_14_x86_64.whl 9.7 MB CPython 3.11 CPython 3.11 macOS 10.14+ x86-64 Details
lunapi-1.6.7-cp310-cp310-win_amd64.whl 11.7 MB CPython 3.10 CPython 3.10 Windows x86-64 Details
lunapi-1.6.7-cp310-cp310-manylinux_2_28_x86_64.whl 13.5 MB CPython 3.10 CPython 3.10 Linux glibc 2.28+ x86-64 Details
lunapi-1.6.7-cp310-cp310-macosx_11_0_arm64.whl 8.7 MB CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details
lunapi-1.6.7-cp310-cp310-macosx_10_14_x86_64.whl 9.7 MB CPython 3.10 CPython 3.10 macOS 10.14+ x86-64 Details
lunapi-1.6.7-cp39-cp39-win_amd64.whl 11.7 MB CPython 3.9 CPython 3.9 Windows x86-64 Details
lunapi-1.6.7-cp39-cp39-manylinux_2_28_x86_64.whl 13.5 MB CPython 3.9 CPython 3.9 Linux glibc 2.28+ x86-64 Details
lunapi-1.6.7-cp39-cp39-macosx_11_0_arm64.whl 8.7 MB CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details
lunapi-1.6.7-cp39-cp39-macosx_10_14_x86_64.whl 9.7 MB CPython 3.9 CPython 3.9 macOS 10.14+ x86-64 Details

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Release files / lunapi-1.6.7-cp39-cp39-macosx_11_0_arm64.whl

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Release files / lunapi-1.6.7-cp39-cp39-macosx_10_14_x86_64.whl

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1.7.0

24 release files

1.6.9

18 release files

1.6.8

24 release files

This release

1.6.7 This release

24 release files

1.6.5

24 release files

1.6.4

18 release files

1.6.3

18 release files

1.6.2.post1

18 release files

1.6.2

18 release files

1.6.1

12 release files

1.6.0

18 release files

1.5.5

18 release files

1.5.2

18 release files

1.5.1

18 release files

1.5.0

18 release files

1.4.9

18 release files

1.4.8

18 release files

1.4.7

18 release files

1.4.6

24 release files

1.4.5

24 release files

1.4.4

12 release files

1.4.3

24 release files

1.4.2

18 release files

1.4.1

12 release files

1.4.0

27 release files

1.3.9

20 release files

1.3.8

27 release files

1.3.7

27 release files

1.3.6

27 release files

1.3.5

27 release files

1.3.4

27 release files

1.3.3

27 release files

1.3.2

25 release files

1.3.1

24 release files

1.3.0

13 release files

1.2.3

29 release files

1.2.1

29 release files

1.2.0

29 release files

0.1.2

29 release files

0.1.1

22 release files

0.1.0

22 release files

0.0.9

22 release files

0.0.8

22 release files

0.0.7

29 release files

0.0.6

42 release files

0.0.5

39 release files

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