wfdb

v4.1.2

The WFDB Python package: tools for reading, writing, and processing physiologic signals and annotations. For more information about how to use this package see README

Latest version published 1 year ago

License: MIT

PyPI

GitHub

Package Health Score

62 / 100

security
Security review needed
popularity
Popular
maintenance
Inactive
community
Sustainable

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Popularity

Popular

GitHub Stars: 748
Forks: 302
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package wfdb, we found that it has been starred 748 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jun 16, 2023
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
1
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 74
Open PR: 13
Last Release: 1 year ago
Last Commit: 14 days ago

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

An important project maintenance signal to consider for wfdb is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 30
Funding: No

With more than 10 contributors for the wfdb repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like wfdb is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.7

Age: 8 years
Latest Release: 1 year ago
Dependencies: 6 Direct / 22 Total
Versions: 47
Maintainers: 5
Wheels: OS Independent

Not sure how to use wfdb?

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

berndporr / py-ecg-detectors / tester_MITDB.py View on Github

if file.endswith(".dat"):
                dat_files.append(file)
        
        mit_records = [w.replace(".dat", "") for w in dat_files]
        
        results = np.zeros((len(mit_records), 5), dtype=int)

        i = 0
        for record in mit_records:
            progress = int(i/float(len(mit_records))*100.0)
            print("MITDB progress: %i%%" % progress)

            sig, fields = wfdb.rdsamp(self.mitdb_dir+'/'+record)
            unfiltered_ecg = sig[:, 0]  

            ann = wfdb.rdann(str(self.mitdb_dir+'/'+record), 'atr')    
            anno = _tester_utils.sort_MIT_annotations(ann)    

            r_peaks = detector(unfiltered_ecg)

            delay = _tester_utils.calcMedianDelay(r_peaks, unfiltered_ecg, max_delay_in_samples)

            if delay > 1:

                TP, FP, FN = _tester_utils.evaluate_detector(r_peaks, anno, delay, tol=tolerance)
                TN = len(unfiltered_ecg)-(TP+FP+FN)
                
                results[i, 0] = int(record)    
                results[i, 1] = TP
                results[i, 2] = FP
                results[i, 3] = FN
                results[i, 4] = TN

View more ways to use wfdb

The WFDB Python Package

signals

Introduction

A Python-native package for reading, writing, processing, and plotting physiologic signal and annotation data. The core I/O functionality is based on the Waveform Database (WFDB) specifications.

This package is heavily inspired by the original WFDB Software Package, and initially aimed to replicate many of its command-line APIs. However, the projects are independent, and there is no promise of consistency between the two, beyond each package adhering to the core specifications.

Documentation and Usage

See the documentation site for the public APIs.

See the demo.ipynb notebook file for example use cases.

Installation

The distribution is hosted on PyPI at: . The package can be directly installed from PyPI using either pip or poetry:

pip install wfdb
poetry add wfdb

On Linux systems, accessing compressed WFDB signal files requires installing libsndfile, by running sudo apt-get install libsndfile1 or sudo yum install libsndfile. Support for Apple M1 systems is a work in progess (see and ).

The development version is hosted at: . This repository also contains demo scripts and example data. To install the development version, clone or download the repository, navigate to the base directory, and run:

# Without dev dependencies
pip install .
poetry install

# With dev dependencies
pip install ".[dev]"
poetry install -E dev

# Install the dependencies only
poetry install -E dev --no-root

See the note about dev dependencies.

Developing

Please see the DEVELOPING.md document for contribution/development instructions.

Citing

When using this resource, please cite the software publication on PhysioNet.

wfdb dependencies

matplotlib numpy pandas requests scipy soundfile

FAQs

What is wfdb?

The WFDB Python package: tools for reading, writing, and processing physiologic signals and annotations. Visit Snyk Advisor to see a full health score report for wfdb, including popularity, security, maintenance & community analysis.

Is wfdb popular?

The python package wfdb receives a total of 24,070 weekly downloads. As such, wfdb popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is wfdb well maintained?

We found indications that wfdb is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is wfdb safe to use?

While scanning the latest version of wfdb, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 22 November-2024, at 14:17 (UTC).

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