Package Health Score

90 / 100

security
No known security issues
popularity
Popular
maintenance
Healthy
community
Active

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Popularity

Popular

GitHub Stars: 2.78K
Forks: 1.33K
Contributors: 360

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package mne, we found that it has been starred 2,780 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 18, 2024
Direct Vulnerabilities: 0
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0
H
0
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0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 0
H
0
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-3-Clause

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 486
Open PR: 69
Last Release: 4 days ago
Last Commit: 4 days ago

Further analysis of the maintenance status of mne based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that mne demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 360
Funding: No

A good and healthy external contribution signal for mne project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.10

Age: 13 years
Latest Release: 4 days ago
Dependencies: 4 Direct
Versions: 80
Maintainers: 0
Wheels: OS Independent

Not sure how to use mne?

To help you get started, we've collected the most common ways that mne is being used within popular public projects.

mne-tools / mne-python / mne / time_frequency / psd.py View on Github

-------
    psds : ndarray, shape (..., n_freqs) or (..., n_freqs, n_segments)
        The power spectral densities. If ``average='mean`` or
        ``average='median'``, the returned array will have the same shape
        as the input data plus an additional frequency dimension.
        If ``average=None``, the returned array will have the same shape as
        the input data plus two additional dimensions corresponding to
        frequencies and the unaggregated segments, respectively.
    freqs : ndarray, shape (n_freqs,)
        The frequencies.

    Notes
    -----
    .. versionadded:: 0.14.0
    """
    _check_option('average', average, (None, 'mean', 'median'))

    dshape = x.shape[:-1]
    n_times = x.shape[-1]
    x = x.reshape(-1, n_times)

    # Prep the PSD
    n_fft, n_per_seg, n_overlap = _check_nfft(n_times, n_fft, n_per_seg,
                                              n_overlap)
    win_size = n_fft / float(sfreq)
    logger.info("Effective window size : %0.3f (s)" % win_size)
    freqs = np.arange(n_fft // 2 + 1, dtype=float) * (sfreq / n_fft)
    freq_mask = (freqs &gt;= fmin) &amp; (freqs &lt;= fmax)
    freqs = freqs[freq_mask]

    # Parallelize across first N-1 dimensions
    x_splits = np.array_split(x, n_jobs)

View more ways to use mne

MNE-Python

MNE-Python is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG, ECoG, and more. It includes modules for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, statistics, and more.

Documentation

Documentation for MNE-Python encompasses installation instructions, tutorials, and examples for a wide variety of topics, contributing guidelines, and an API reference.

Forum

The user forum is the best place to ask questions about MNE-Python usage or the contribution process. The forum also features job opportunities and other announcements.

If you find a bug or have an idea for a new feature that should be added to MNE-Python, please use the issue tracker of our GitHub repository.

Installation

To install the latest stable version of MNE-Python with minimal dependencies only, use pip in a terminal:

$ pip install --upgrade mne

For more complete instructions, including our standalone installers and more advanced installation methods, please refer to the installation guide.

Get the development version

To install the latest development version of MNE-Python using pip, open a terminal and type:

$ pip install --upgrade https://github.com/mne-tools/mne-python/archive/refs/heads/main.zip

To clone the repository with git, open a terminal and type:

$ git clone https://github.com/mne-tools/mne-python.git

Dependencies

The minimum required dependencies to run MNE-Python are:

Python ≥ 3.9
NumPy ≥ 1.23
SciPy ≥ 1.9
Matplotlib ≥ 3.6
Pooch ≥ 1.5
tqdm
Jinja2
decorator
lazy-loader ≥ 0.3
packaging

Contributing

Please see the contributing guidelines on our documentation website.

About

CI
Package
Docs
Meta

License

MNE-Python is licensed under the BSD-3-Clause license.

mne dependencies

decorator jinja2 packaging tqdm

FAQs

What is mne?

MNE-Python project for MEG and EEG data analysis. Visit Snyk Advisor to see a full health score report for mne, including popularity, security, maintenance & community analysis.

Is mne popular?

The python package mne receives a total of 33,469 weekly downloads. As such, mne popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is mne well maintained?

We found that mne demonstrated a healthy version release cadence and project activity. It has a community of 360 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is mne safe to use?

The python package mne was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 21 December-2024, at 01:56 (UTC).

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mne

MNE-Python project for MEG and EEG data analysis. For more information about how to use this package see README

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Not sure how to use mne?

MNE-Python

Documentation

Forum

Installation

Get the development version

Dependencies

Contributing

About

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mne dependencies

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What is mne?

Is mne popular?

Is mne well maintained?

Is mne safe to use?

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Security and license risk for latest version

Commit Frequency

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Not sure how to use mne?

MNE-Python

Documentation

Forum

Installation

Get the development version

Dependencies

Contributing

About

License

mne dependencies

FAQs

What is mne?

Is mne popular?

Is mne well maintained?

Is mne safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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