Package Health Score

66 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Limited

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Popularity

Limited

GitHub Stars: 26
Forks: 28
Contributors: 4

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package msaexp, we found that it has been starred 26 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 12, 2024
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
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

Healthy

Commit Frequency

Open Issues: 11
Open PR: 2
Last Release: 14 days ago
Last Commit: 19 days ago

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

We found that msaexp 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

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 4
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.9

Age: 2 years
Latest Release: 14 days ago
Dependencies: 12 Direct
Versions: 48
Maintainers: 1
Wheels: No

Readme

msaexp

Tools for extracting JWST NIRSpec MSA spectra directly from the telescope exposures

Under heavy construction....

Note

Please submit any questions/comments/problems you have through the Issues interface.

Documentation

Documentation will be here: , though it's essentially just the module API for now.

The overall procedure is demonstrated in these notebooks:

spectral-pipeline-2024.ipynb: Run the pipeline from scratch on an example dataset from GO-4233 (RUBIES)
spectral-extractions-2024.ipynb: Brief demo of some fitting applications to the reduced spectra

Try running the 2024 demo notebooks directly on GitHub in a Codespace:

Fork the repository from
"<> Code" pulldown > "Codespaces" > "+" to start the codespace
Wait for the initialization to complete
Navigate to the "docs/examples/" directory in the codespace
Open "spectral-pipeline-2024.ipynb" and run it
Commit to your forked repository any changes to the notebook itself or files created that you want to save outside the codespace
Profit!

The notebooks below use some of the older deprecated methodolgy for spectral combination and extraction:

drizzled-nirspec.ipynb: Demo of new drizzling and combination code (0.6.0) with prism data from JWST program GO-1433 (PI: Dan Coe)
process-rxj2129.ipynb: Demo with prism data from JWST program DD-2767 (PI: Pat Kelly)
process-smacs0723.ipynb: Demo with medium resolution data from the JWST ERO-2736 program on the cluster SMACS-0723 (PI: Klaus Pontoppidon)

Extracted spectra from public datasets

Browsable table:

Full catalog:

Updated and additional extractions (2024-Feb):

(Though see )

msaexp dependencies

astropy astroquery cython grizli mastquery matplotlib numba numpy pysiaf scikit-image scipy tqdm

FAQs

What is msaexp?

Manual extraction of JWST NIRSpec MSA spectra directly from the telescope exposures. Visit Snyk Advisor to see a full health score report for msaexp, including popularity, security, maintenance & community analysis.

Is msaexp popular?

The python package msaexp receives a total of 267 weekly downloads. As such, msaexp popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is msaexp well maintained?

We found that msaexp demonstrated a healthy version release cadence and project activity. It has a community of 4 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is msaexp safe to use?

The python package msaexp 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 25 November-2024, at 20:40 (UTC).

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msaexp

Manual extraction of JWST NIRSpec MSA spectra directly from the telescope exposures For more information about how to use this package see README

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Package Health Score

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Popularity

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Security

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Maintenance

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Community

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Package

Readme

msaexp

Documentation

Extracted spectra from public datasets

msaexp dependencies

FAQs

What is msaexp?

Is msaexp popular?

Is msaexp well maintained?

Is msaexp safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Snyk Vulnerability Scanner

Readme

msaexp

Documentation

Extracted spectra from public datasets

msaexp dependencies

FAQs

What is msaexp?

Is msaexp popular?

Is msaexp well maintained?

Is msaexp 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

Fix identified vulnerabilities

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