Factual package intelligence from PyPI

swift_comet_pipeline 0.3.0 package intelligence

Data reduction pipeline for determining water production rates from the Swift telescope's UVOT images

pip install swift-comet-pipeline

Current version
0.3.0
Python requirement
<3.13,>=3.11
License
LICENSE
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
408.1 KiB
Release history
13 releases with files
Median release cadence
22 days

swift_comet_pipeline dependencies

PyPI declares 24 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib >=3.8.0
  2. numpy >=1.26.1
  3. scipy >=1.11.3
  4. astropy >=5.3.4
  5. astroquery >=0.4.6
  6. pandas >=2.1.1
  7. photutils >=1.9.0
  8. tqdm >=4.66.1
  9. pyarrow >=13.0.0
  10. rich <14.0.0,>=13.6.0
  11. sbpy >=0.6.0
  12. icecream <3.0.0,>=2.1.3
  13. seaborn <0.14.0,>=0.13.2
  14. scikit-image <0.25.0,>=0.24.0
  15. questionary <3.0.0,>=2.0.1
  16. scikit-learn <2.0.0,>=1.5.2
  17. pyabel <0.10.0,>=0.9.0
  18. pyvectorial-au <2.0.0,>=1.1.4

The compact report shows 18 of 24 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

swift_comet_pipeline publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12.

Security snapshot for swift_comet_pipeline 0.3.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 13 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.