zigfitsio (Python)

Python bindings for zigfitsio — a pure-Zig implementation of FITS 4.0 I/O with feature parity goals against CFITSIO, and no C dependencies.

Two layers are provided:

  • High-level, NumPy-first API modeled on astropy.io.fits — open, HDUList, the HDU classes, Column, Header, and the getdata/getheader/writeto/verify conveniences.
  • Low-level 1:1 ctypes binding under zigfitsio.lowlevel (the C ABI from bindings/c/zigfitsio.h) for power users.

The native code is a Zig-built shared library loaded via ctypes; there is no C compiler requirement at install time when using a prebuilt wheel.

Install

pip install zigfitsio          # prebuilt wheel (recommended)

Building from source requires a Zig toolchain (supplied automatically by the ziglang build dependency, or a system zig 0.16 on PATH).

Quickstart

import numpy as np
import zigfitsio as zf

# Write an image
zf.writeto("image.fits", np.arange(12, dtype="f4").reshape(3, 4), overwrite=True)

# Read it back (NumPy array, shape (NAXIS2, NAXIS1), C-order — like astropy)
with zf.open("image.fits") as hdul:
    data = hdul[0].data
    hdr = hdul[0].header
    print(data.shape, hdr["NAXIS1"])

# Build a binary table
cols = [
    zf.Column("INDEX", "J", np.array([10, 20, 30], dtype="i4")),
    zf.Column("FLUX",  "E", np.array([1.5, 2.5, 3.5], dtype="f4"), unit="Jy"),
    zf.Column("NAME",  "8A", np.array(["alpha", "beta", "gamma"])),
]
zf.HDUList([zf.PrimaryHDU(), zf.BinTableHDU.from_columns(cols, name="EVENTS")]).writeto(
    "table.fits", overwrite=True
)

# Tile-compressed image (RICE_1)
ramp = np.arange(256, dtype="i4").reshape(16, 16)
zf.HDUList([zf.PrimaryHDU(), zf.CompImageHDU(ramp, compression="RICE_1")]).writeto(
    "comp.fits", overwrite=True
)

# Structural validation (fitsverify-style)
for f in zf.verify("image.fits"):
    print(f)

Headers (dict-like)

with zf.open("image.fits", mode="update") as hdul:
    h = hdul[0].header
    h["OBSERVER"] = ("Hubble", "the observer")  # value + comment
    print(h["OBSERVER"], "/", h.comment_of("OBSERVER"))
    print("BITPIX" in h, list(h.keys()))

WCS (celestial)

with zf.open("wcs.fits") as hdul:
    lon, lat = hdul[0].pix2world(40.0, 30.0)   # 1-based pixel (FITS CRPIX convention)
    px, py = hdul[0].world2pix(lon, lat)

Low-level (ctypes)

import ctypes as c
import zigfitsio.lowlevel as ll

h = c.c_void_p()
ll.check(ll.lib.zf_create_memory(None, c.byref(h)))
ll.check(ll.lib.zf_create_img(h, -32, 2, (c.c_long * 2)(4, 3)))
ll.lib.zf_close(h)

Conventions

  • Image and table data is exchanged as native-endian NumPy arrays; non-native (byte-swapped) input is coerced automatically before writing. Image shape is the reversed FITS axis order ((NAXIS2, NAXIS1)), C-contiguous — identical memory layout to astropy.io.fits.
  • BSCALE/BZERO and TSCAL/TZERO scaling and the unsigned-integer convention are applied automatically on read (images and table columns) and honored on write; the output dtype is widened to float when real scaling is present, or to u2/u4/u8 for the unsigned convention.
  • Errors are raised as typed FitsError subclasses (KeywordNotFound is also a KeyError).

Development

zig build capi                                   # build the shared library into zig-out/lib
pip install -e .[test]                           # editable install (builds the lib via the hook)
pytest bindings/python/tests -q                  # run the suite (incl. astropy cross-checks)

When running tests against an uninstalled checkout, point the loader at the dev build:

ZIGFITSIO_LIBRARY=$PWD/zig-out/lib/libzigfitsio_capi.dylib \
PYTHONPATH=bindings/python/src pytest bindings/python/tests -q

License

MIT — see LICENSE.

Project links

Data verified by PyPI on Jul 8, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
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  • Released:
Newer release available (0.1.6)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for anhydrous99 from gravatar.com anhydrous99

Credits

Author: zigfitsio contributors

GitHub Statistics

Data verified by PyPI on Jul 8, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (MIT)

Requires

Python >=3.10

Provides Extra

test

Tags

FITS astronomy astrophysics cfitsio io zig

Classifiers

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0.1.6

43 files

0.1.5

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0.1.4

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This release

0.1.3 This release

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0.1.2

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0.1.1

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