gwcs
Generalized World Coordinate System
Decision gist · record as of 2026-08-14
Yes, if you work with astronomical data and need to manage coordinate transformations. GWCS is actively maintained, has low install friction, and integrates seamlessly with Astropy. However, resolve the unclear license status before committing to production use—verify the actual license terms in the repository or documentation.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later.
- Depends on astropy, numpy, scipy, asdf, and asdf-astropy at runtime.
- Low install friction with a pure-wheel distribution.
License · maintenance · safety
(unclear) — License treatment is unclear—no SPDX identifier or raw license text is recorded in the package metadata, so you cannot verify licensing terms before installation.
last release 2026-02-12 (183 days) · last repo commit 2026-08-13 · 56 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 184,796 downloads/mo, #10,025 on PyPI
Alternatives
Verify before relying
pip install gwcs
import gwcs
from astropy.coordinates import SkyCoord
from astropy.modeling import models
# Create a simple WCS pipeline using astropy models
transform = models.Linear1D(slope=1.0)
# Use with astropy coordinate objects for transformations- Specific version constraints for runtime dependencies (asdf, astropy, numpy, scipy, asdf_wcs_schemas, asdf-astropy) are not documented in the fact sheet.
- Whether GWCS handles all standard WCS conventions or a subset of the FITS WCS standard.
- Performance characteristics or scalability limits for large transformation pipelines.
What it is and what it does
GWCS is an Astropy-affiliated package that manages World Coordinate System transformations for astronomical data. It models the full pipeline from detector (pixel) coordinates to world coordinates—celestial, time, or spectral—using composable transforms built on astropy.modeling. Transforms are instances of astropy.Model, celestial coordinates are astropy.SkyCoord objects, time is represented by astropy.Time, and spectral data uses astropy.Quantity with unit conversion.
The package integrates tightly with Astropy's ecosystem, allowing you to chain and combine transforms using compound models, convert between standard celestial frames, manipulate time coordinates, and work with spectral data in different units. It takes a general approach to coordinate transformation rather than being tied to a single convention, making it suitable for diverse astronomical instruments and data types.
Use it for
- Convert detector pixel coordinates to celestial sky coordinates for astronomical images or spectra.
- Build and manage multi-step coordinate transformation pipelines for instrument data.
- Transform celestial coordinates between different reference frames using astropy integration.
- Handle spectral coordinate conversions and unit transformations in spectroscopic data.
- Define custom WCS models for non-standard instruments or data formats.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you work with astronomical data and need to manage coordinate transformations.
GWCS is actively maintained, has low install friction, and integrates seamlessly with Astropy. However, resolve the unclear license status before committing to production use—verify the actual license terms in the repository or documentation.
Install
gwcs on PyPI
Before you install
Low install friction with a pure-wheel distribution. Actively maintained as of 2026-02-12 with recent commits, though 183 days have passed since the latest release.
Requires Python 3.11 or later. Depends on astropy, numpy, scipy, asdf, and asdf-astropy at runtime.
License in practice
License treatment is unclear—no SPDX identifier or raw license text is recorded in the package metadata, so you cannot verify licensing terms before installation.
Quickstart
pip install gwcs
import gwcs
from astropy.coordinates import SkyCoord
from astropy.modeling import models
# Create a simple WCS pipeline using astropy models
transform = models.Linear1D(slope=1.0)
# Use with astropy coordinate objects for transformationsVerify before relying
- Specific version constraints for runtime dependencies (asdf, astropy, numpy, scipy, asdf_wcs_schemas, asdf-astropy) are not documented in the fact sheet.
- Whether GWCS handles all standard WCS conventions or a subset of the FITS WCS standard.
- Performance characteristics or scalability limits for large transformation pipelines.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesasdfastropynumpyscipyasdf_wcs_schemasasdf-astropy |
| Maintenance | Actively maintained 183 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 184,796 / month, #10,025 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: gwcs-1.0.3-py3-none-any.whl
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