Package Health Score

74 / 100

security
Security review needed
popularity
Popular
maintenance
Sustainable
community
Active

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Popularity

Popular

GitHub Stars: 1.47K
Forks: 430
Contributors: 70

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package emcee, we found that it has been starred 1,472 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Apr 19, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 51
Open PR: 7
Last Release: 7 months ago
Last Commit: 18 days ago

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

We found that emcee demonstrates a positive version release cadence with at least one new version released in the past 12 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: 70
Funding: No

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

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Package

Python Versions Compatibility: Unspecified

Age: 13 years
Latest Release: 7 months ago
Dependencies: 1 Direct / 1 Total
Versions: 27
Maintainers: 1
Wheels: OS Independent

Not sure how to use emcee?

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

dfm / emcee / tests / unit / test_backends.py View on Github

def test_uninit(tmpdir):
    fn = str(tmpdir.join("EMCEE_TEST_FILE_DO_NOT_USE.h5"))
    if os.path.exists(fn):
        os.remove(fn)

    with backends.HDFBackend(fn) as be:
        run_sampler(be)

    assert os.path.exists(fn)
    os.remove(fn)

View more ways to use emcee

emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010). The code is open source and has already been used in several published projects in the Astrophysics literature.

Documentation

Read the docs at emcee.readthedocs.io.

Attribution

Please cite Foreman-Mackey, Hogg, Lang & Goodman (2012) if you find this code useful in your research. The BibTeX entry for the paper is:

@article{emcee,
   author = {{Foreman-Mackey}, D. and {Hogg}, D.~W. and {Lang}, D. and {Goodman}, J.},
    title = {emcee: The MCMC Hammer},
  journal = {PASP},
     year = 2013,
   volume = 125,
    pages = {306-312},
   eprint = {1202.3665},
      doi = {10.1086/670067}
}

License

emcee is free software made available under the MIT License. For details see the LICENSE file.

emcee dependencies

numpy

FAQs

What is emcee?

The Python ensemble sampling toolkit for MCMC. Visit Snyk Advisor to see a full health score report for emcee, including popularity, security, maintenance & community analysis.

Is emcee popular?

The python package emcee receives a total of 46,672 weekly downloads. As such, emcee popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is emcee well maintained?

We found indications that emcee maintenance is sustainable demonstrating some project activity. We saw a total of 70 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is emcee safe to use?

While scanning the latest version of emcee, 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 21 November-2024, at 10:05 (UTC).

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emcee

The Python ensemble sampling toolkit for MCMC For more information about how to use this package see README

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emcee

Documentation

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emcee dependencies

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Commit Frequency

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Not sure how to use emcee?

emcee

Documentation

Attribution

License

emcee dependencies

FAQs

What is emcee?

Is emcee popular?

Is emcee well maintained?

Is emcee safe to use?

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Source Code

Open Source

Container

Config

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