zigfitsio

Python wheels PyPI Python versions License: MIT

Read and write FITS files with a NumPy-first, astropy.io.fits-style API — no C compiler, no CFITSIO required.

Python bindings for zigfitsio, a pure-Zig FITS 4.0 I/O library. The native code is a Zig-built shared library loaded via ctypes, in two layers:

  • High-level (zigfitsio) — modeled on astropy.io.fits: open, HDUList, the HDU classes, Column, Header, and getdata/getheader/writeto/verify.
  • Low-level (zigfitsio.lowlevel) — a 1:1 ctypes binding over the C ABI, for power users.

Install

pip install zigfitsio

Prebuilt wheels need no compiler. Building from source requires a Zig 0.16 toolchain (supplied automatically by the ziglang build dependency, or a system zig 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
    print(data.shape, hdul[0].header["NAXIS1"])

Tables

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
)

Compressed images

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

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)

Validation

for finding in zf.verify("image.fits"):   # fitsverify-style structural checks
    print(finding)

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).

Known limitations

  • Not a CFITSIO drop-in — the ABI is purpose-built zf_* symbols, not fits_*.
  • Integer BLANK/TNULLn values are not auto-masked (no numpy.ma); float nulls surface as NaN.
  • In-place update of compressed images, VLA or scaled columns, or a changed row count raises — use writeto() to a new file instead.
  • writeto() of a scanned quantized-float compressed image re-quantizes at the default level (the FITS header does not record the level).

The full list lives in CAVEATS.md.

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)

License

MIT — see LICENSE.

Project links

Data verified by PyPI on Jul 9, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • 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 9, 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

43 files

This release

0.1.4 This release

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0.1.3

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0.1.2

43 files

0.1.1

36 files

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