drizzlepac

v3.7.0.1

HST image combination using the drizzle algorithm to combine astronomical images, to model image distortion, to remove cosmic rays, and generally to improve the fidelity of data in the final image. For more information about how to use this package see README

Latest version published 7 days ago

License: BSD-3-Clause

PyPI

GitHub

Package Health Score

81 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

Explore Similar Packages

Popularity

Small

GitHub Stars: 49
Forks: 37
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package drizzlepac, we found that it has been starred 49 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jun 17, 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

BSD-3-Clause

Security Policy

We found a way for you to contribute to the project! Looks like drizzlepac is missing a security policy.

You can connect your project's repository to Snyk to stay up to date on security alerts and receive automatic fix pull requests.

Keep your project free of vulnerabilities with Snyk

Maintenance

Healthy

Commit Frequency

Open Issues: 104
Open PR: 9
Last Release: 7 days ago
Last Commit: 4 days ago

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

We found that drizzlepac 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: 30
Funding: No

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

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Ensure all the packages you're using are healthy and well-maintained

Snyk Vulnerability Scanner

Get health score & security insights directly in your IDE

Package

Python Versions Compatibility: >=3.10

Age: 11 years
Latest Release: 7 days ago
Dependencies: 10 Direct
Versions: 39
Maintainers: 2
Wheels: Linux, macOS

Not sure how to use drizzlepac?

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

gbrammer / grizli / grizli / multifit.py View on Github

pixel variances.
    
    ds9: `pyds9.DS9`
        Show intermediate steps of the drizzling
    
    Returns
    -------
    hdu : `~astropy.io.fits.HDUList`
        FITS HDUList with the drizzled 2D spectrum and weight arrays
        
    """
    from drizzlepac.astrodrizzle import adrizzle
    from astropy import log
    log.setLevel('ERROR')
    #log.disable_warnings_logging()
    adrizzle.log.setLevel('ERROR')
    
    NX = int(np.round(np.diff(wlimit)[0]*1.e4/dlam)) // 2
    center = np.mean(wlimit[:2])*1.e4
    out_header, output_wcs = utils.make_spectrum_wcsheader(center_wave=center,
                                 dlam=dlam, NX=NX, 
                                 spatial_scale=spatial_scale, NY=NY)
                                 
    sh = (out_header['NAXIS2'], out_header['NAXIS1'])
    
    outsci = np.zeros(sh, dtype=np.float32)
    outwht = np.zeros(sh, dtype=np.float32)
    outctx = np.zeros(sh, dtype=np.int32)
    
    outvar = np.zeros(sh, dtype=np.float32)
    outwv = np.zeros(sh, dtype=np.float32)
    outcv = np.zeros(sh, dtype=np.int32)

View more ways to use drizzlepac

drizzlepac dependencies

bokeh lxml matplotlib pandas pypdf2 requests scipy stsci-imagestats stsci-stimage tables

FAQs

What is drizzlepac?

HST image combination using the drizzle algorithm to combine astronomical images, to model image distortion, to remove ... Visit Snyk Advisor to see a full health score report for drizzlepac, including popularity, security, maintenance & community analysis.

Is drizzlepac popular?

The python package drizzlepac receives a total of 1,722 weekly downloads. As such, drizzlepac popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is drizzlepac well maintained?

We found that drizzlepac demonstrated a healthy version release cadence and project activity. It has a community of 30 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is drizzlepac safe to use?

The python package drizzlepac 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 23 June-2024, at 07:04 (UTC).

Build a secure application checklist

Select a recommended open source package

Minimize your risk by selecting secure & well maintained open source packages

DONE

Scan your app for vulnerabilities

Scan your application to find vulnerabilities in your: source code, open source dependencies, containers and configuration files

SCAN NOW

Fix identified vulnerabilities

Easily fix your code by leveraging automatically generated PRs

AUTO FIX

Monitor for new issues

New vulnerabilities are discovered every day. Get notified if your application is affected

MONITOR APP