pyramids — GIS utilities for rasters, vectors & datacubes, built on GDAL/OGR

GitHub last commit GitHub Repo stars

GitHub commits since latest release (by SemVer including pre-releases)

Current release info

Name	Downloads	Version	Platforms

conda-forge feedstock

Conda-forge feedstock

pyramids - GIS utility package

pyramids is a GIS utility package built on top of GDAL/OGR for working with raster data (GeoTIFF, NetCDF), vector data (shapefiles, GeoJSON), and multi-temporal datacubes.

pyramids at a glance — every GDAL format, none of the boilerplate

pyramids-gis is licensed under GPLv3 (see LICENSE.md). The platform wheels published on PyPI bundle GDAL and its native dependencies (PROJ, GEOS, libtiff, NetCDF-C, HDF5, libcurl, …) — each under its own MIT, BSD, LGPL, or Apache license. The full attribution list and shipped license texts are documented in THIRD_PARTY_LICENSES.md; if you use pyramids-gis in publications please also cite GDAL itself per gdal.org/cite_gdal.html.

graph LR
    GeoTIFF & NetCDF & Shapefile & UGRID -->|read| pyramids
    subgraph pyramids
        direction TB
        Dataset
        NetCDF_class[NetCDF]
        UgridDataset
        DatasetCollection
        FeatureCollection
        subgraph Engines["Dataset engines (ds.io · ds.spatial · ds.bands · ds.analysis · ds.cell · ds.vectorize · ds.cog)"]
        end
        subgraph Plotting["Plotting layer — _plot_helpers.render_array · mesh_render · NetCDFPlot · Selectors / ColourOpts / FacetSpec · basemap"]
        end
    end
    Dataset -->|crop · reproject · align| Dataset
    Dataset --- Engines
    FeatureCollection -->|rasterize| Dataset
    UgridDataset -->|interpolate| Dataset
    Dataset -->|vectorize| FeatureCollection
    DatasetCollection -->|lazy temporal stack| Dataset
    NetCDF_class -->|extends| Dataset
    Dataset & NetCDF_class & DatasetCollection & UgridDataset -->|plot| Plotting
    Plotting -->|delegates| cleopatra(["cleopatra<br/>ArrayGlyph · MeshGlyph · tiles"])

For the class relationships, internal layers, and detailed architecture diagrams, see docs/overview/architecture.md.

Main Features

Dataset - Read, write, crop, reproject, and align single-band and multi-band rasters (GeoTIFF) with full no-data handling and coordinate reference system support. Public API is organized into seven engine collaborators (ds.io, ds.spatial, ds.bands, ds.analysis, ds.cell, ds.vectorize, ds.cog); same-named facade methods on the Dataset itself keep the short form working — ds.crop(mask) and ds.spatial.crop(mask) are equivalent.
NetCDF - Extends Dataset for NetCDF files with time/variable dimensions and CF conventions metadata. Optional labeled-array interoperability. NetCDF.plot exposes a labeled-array-style plotting API (variable= + grouped Selectors / ColourOpts / FacetSpec dataclasses, curvilinear coords=, kind=, animate=, lazy chunks=).
UgridDataset - Read and visualize UGRID-1.0 unstructured meshes (triangles, quads, mixed). Supports mesh-to-raster interpolation and mesh-to-vector export.
DatasetCollection - Manage time-series of co-registered rasters as a lazy temporal stack (per-timestep gdal handles open on demand; the full cube is never materialised in RAM) with optional dask-backed reductions and groupby.
FeatureCollection - Work with vector data (shapefiles, GeoJSON) through a unified GeoDataFrame and OGR DataSource interface, including rasterization and geometry operations.
Plotting - Dataset / NetCDF / DatasetCollection / UgridDataset all expose a plot method backed by cleopatra (the [viz] extra), routed through a shared pyramids.dataset._plot_helpers core. Optional web-tile basemap underlays via pyramids.basemap.add_basemap (a thin wrapper over cleopatra.tiles.add_tiles).
Cloud-Optimized GeoTIFF (COG) - First-class read/write/validate support via ds.to_cog, ds.is_cog, and ds.validate_cog.
Spatial operations - Align rasters to a reference grid, reproject between coordinate systems, crop to vector boundaries, and convert between raster, NetCDF, and vector formats.

Installing pyramids

Installing pyramids from the conda-forge channel can be achieved by:

conda install -c conda-forge pyramids

It is possible to list all the versions of pyramids available on your platform with:

conda search pyramids --channel conda-forge

Install from GitHub (development)

To install the latest development version, you can install the library from GitHub:

pip install git+https://github.com/serapeum-org/pyramids

Note: installing from GitHub uses the sdist and requires a pre-installed system GDAL. See the full installation guide and troubleshooting for details.

pip

To install the latest release from PyPI:

pip install pyramids-gis

Linux + pixi: no glibc pin needed anymore

pyramids-gis ships its Linux wheels tagged manylinux_2_28 (GDAL and its native stack are compiled from source with the manylinux toolchain). pixi's default Linux baseline is glibc 2.28 (it tracks conda-forge's floor), so the wheel resolves out of the box — no [tool.pixi.system-requirements] entry required (verified with pixi 0.65 defaults; newer versions, including the 0.68.1 this repo pins in CI, share the same baseline).

Two cases still need a pin in the consuming project's pyproject.toml / pixi.toml:

[tool.pixi.system-requirements]
libc = "2.39"    # only for the older releases that shipped manylinux_2_39 wheels (0.2x-0.39.x)

or libc = "2.28" if you run a pixi version old enough that its default baseline is still below 2.28. On Linux with glibc < 2.28, install from conda-forge instead. See the full installation guide and troubleshooting for the other cases.

Optional extras

pip install pyramids-gis[viz]      # cleopatra plotting support
pip install xarray                 # to_xarray / from_xarray / to_netcdf interop (peer dep, not an extra)

Quick start

from pyramids.dataset import Dataset

# Open a raster file
src = Dataset.read_file("path/to/raster.tif")
print(src.epsg)        # coordinate reference system EPSG code
print(src.cell_size)   # pixel resolution
print(src.shape)       # (bands, rows, columns)

# Read the raster data as a NumPy array
arr = src.read_array()                  # all bands
band0 = src.read_array(band=0)          # one band

# Spatial ops route through the spatial engine; the facade stays short
reprojected = src.to_crs(to_epsg=3857)  # same as src.spatial.to_crs(...)

from pyramids.netcdf import NetCDF
from pyramids import Selectors, ColourOpts, FacetSpec   # grouped plot options

# Open a NetCDF file
nc = NetCDF.read_file("path/to/data.nc")
print(nc.variables)

# labeled-array-style plotting (needs the [viz] extra)
nc.plot("t2m", selectors=Selectors(time="2020-07-01", level=850),
        colour=ColourOpts(cmap="coolwarm", robust=True))
nc.plot("t2m", facet=FacetSpec(col="time", col_wrap=4))   # small multiples
nc.plot("t2m", animate="time", chunks={"time": 1})        # lazy per-frame animation

from pyramids.feature import FeatureCollection

# Open a vector file
vector = FeatureCollection.read_file("path/to/shapefile.shp")
print(vector.epsg)            # CRS EPSG code
print(vector.total_bounds)    # (minx, miny, maxx, maxy)

from pyramids.dataset import DatasetCollection

# Build a lazy stack of co-registered rasters (no pixels read yet)
cube = DatasetCollection.from_files(["a.tif", "b.tif", "c.tif"])
print(cube.time_length, cube.shape)

# Reductions over the time axis use dask under the hood
mean = cube.mean()                       # nan-aware by default

Testing

This project uses pixi as the environment and task manager.

# Install dependencies and create dev environment
pixi install -e dev

# Run all tests (excluding plot tests)
pixi run -e dev main

# Run plot tests only
pixi run -e dev plot

# Run a specific test file
pixi run -e dev pytest tests/netcdf/test_dimensions.py -v

# Run a single test by node id
pixi run -e dev pytest tests/netcdf/test_dimensions.py::TestStripBraces::test_with_braces -q

Docker

A Dockerfile is provided to run pyramids-gis in a controlled environment with the correct GDAL stack preinstalled via conda-forge. The image uses a multi-stage pixi build for a minimal production container.

Build the image:

docker build -t pyramids-gis:latest .

Run the container (mount your current folder as /workspace):

docker run --rm -it -v ${PWD}:/workspace pyramids-gis:latest bash

Inside the container you can verify the package is installed:

python -c "import pyramids; print('pyramids', pyramids.__version__)"

Metadata

Release files for pyramids-gis 0.64.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyramids-gis 0.64.0
File	Size	Uploaded
pyramids_gis-0.64.0.tar.gz	1.5 MB	Sep 22, 2026	Details

Built distributions (wheels)

Table of built distributions (wheels) for pyramids-gis 0.64.0
File	Interpreter	ABI	Platform	Reset
pyramids_gis-0.64.0-cp314-cp314-win_arm64.whl 27.3 MB Sep 22, 2026	CPython 3.14	CPython 3.14	Windows ARM64	Details
pyramids_gis-0.64.0-cp314-cp314-win_amd64.whl 52.8 MB Sep 22, 2026	CPython 3.14	CPython 3.14	Windows x86-64	Details
pyramids_gis-0.64.0-cp314-cp314-manylinux_2_28_x86_64.whl 32.5 MB Sep 22, 2026	CPython 3.14	CPython 3.14	Linux glibc 2.28+ x86-64	Details
pyramids_gis-0.64.0-cp314-cp314-manylinux_2_28_aarch64.whl 31.0 MB Sep 22, 2026	CPython 3.14	CPython 3.14	Linux glibc 2.28+ ARM64	Details
pyramids_gis-0.64.0-cp314-cp314-macosx_11_0_x86_64.whl 47.3 MB Sep 22, 2026	CPython 3.14	CPython 3.14	macOS 11.0+ x86-64	Details
pyramids_gis-0.64.0-cp314-cp314-macosx_11_0_arm64.whl 44.1 MB Sep 22, 2026	CPython 3.14	CPython 3.14	macOS 11.0+ ARM64	Details
pyramids_gis-0.64.0-cp313-cp313-win_arm64.whl 26.6 MB Sep 22, 2026	CPython 3.13	CPython 3.13	Windows ARM64	Details
pyramids_gis-0.64.0-cp313-cp313-win_amd64.whl 51.2 MB Sep 22, 2026	CPython 3.13	CPython 3.13	Windows x86-64	Details
pyramids_gis-0.64.0-cp313-cp313-manylinux_2_28_x86_64.whl 32.5 MB Sep 22, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.28+ x86-64	Details
pyramids_gis-0.64.0-cp313-cp313-manylinux_2_28_aarch64.whl 31.0 MB Sep 22, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.28+ ARM64	Details
pyramids_gis-0.64.0-cp313-cp313-macosx_11_0_x86_64.whl 47.3 MB Sep 22, 2026	CPython 3.13	CPython 3.13	macOS 11.0+ x86-64	Details
pyramids_gis-0.64.0-cp313-cp313-macosx_11_0_arm64.whl 44.1 MB Sep 22, 2026	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
pyramids_gis-0.64.0-cp312-cp312-win_arm64.whl 26.6 MB Sep 22, 2026	CPython 3.12	CPython 3.12	Windows ARM64	Details
pyramids_gis-0.64.0-cp312-cp312-win_amd64.whl 51.2 MB Sep 22, 2026	CPython 3.12	CPython 3.12	Windows x86-64	Details
pyramids_gis-0.64.0-cp312-cp312-manylinux_2_28_x86_64.whl 32.5 MB Sep 22, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.28+ x86-64	Details
pyramids_gis-0.64.0-cp312-cp312-manylinux_2_28_aarch64.whl 31.0 MB Sep 22, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.28+ ARM64	Details
pyramids_gis-0.64.0-cp312-cp312-macosx_11_0_x86_64.whl 47.3 MB Sep 22, 2026	CPython 3.12	CPython 3.12	macOS 11.0+ x86-64	Details
pyramids_gis-0.64.0-cp312-cp312-macosx_11_0_arm64.whl 44.1 MB Sep 22, 2026	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
pyramids_gis-0.64.0-cp311-cp311-win_amd64.whl 51.2 MB Sep 22, 2026	CPython 3.11	CPython 3.11	Windows x86-64	Details
pyramids_gis-0.64.0-cp311-cp311-manylinux_2_28_x86_64.whl 32.5 MB Sep 22, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.28+ x86-64	Details
pyramids_gis-0.64.0-cp311-cp311-manylinux_2_28_aarch64.whl 31.0 MB Sep 22, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.28+ ARM64	Details
pyramids_gis-0.64.0-cp311-cp311-macosx_11_0_x86_64.whl 47.3 MB Sep 22, 2026	CPython 3.11	CPython 3.11	macOS 11.0+ x86-64	Details
pyramids_gis-0.64.0-cp311-cp311-macosx_11_0_arm64.whl 44.1 MB Sep 22, 2026	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details

Total release size: 907.9 MB

Release files / pyramids_gis-0.64.0.tar.gz

Download URL	pyramids_gis-0.64.0.tar.gz
Size	1.5 MB
Tags	Source
SHA-256 checksum How to use checksums	`d1ececd7ed6d3b98d8651f36ce4f5408f9c2eb1e27291866a7a3f962afb81cba`
BLAKE2b-256 checksum How to use checksums	`a343dafa8ede0a9b032cd4bae2d5958a508a16f200a7d187909e3ff08ca8459f`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp314-cp314-win_arm64.whl

Download URL	pyramids_gis-0.64.0-cp314-cp314-win_arm64.whl
Size	27.3 MB
Tags	CPython 3.14 Windows ARM64
SHA-256 checksum How to use checksums	`956ff2f451ab9a1e7286eb86a66d533e378e4d9a75cb752d34239c8fb4011b9e`
BLAKE2b-256 checksum How to use checksums	`f8f4ab89ee5011d954c2f464a39bee5189b06808b877b3c1268b22ac6ffee6d2`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp314-cp314-win_amd64.whl

Download URL	pyramids_gis-0.64.0-cp314-cp314-win_amd64.whl
Size	52.8 MB
Tags	CPython 3.14 Windows x86-64
SHA-256 checksum How to use checksums	`b24db6e19a0fb9fc75b1f1d8665aba653d736665e9aa709e36ad94ea25b90bb2`
BLAKE2b-256 checksum How to use checksums	`c760eb14f4b325dc8daaf9cb6aa0958331497039c244e69d280f99751239fc74`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp314-cp314-manylinux_2_28_x86_64.whl

Download URL	pyramids_gis-0.64.0-cp314-cp314-manylinux_2_28_x86_64.whl
Size	32.5 MB
Tags	CPython 3.14 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`2d2c94b79dfdbf7bee71753c6c81d48d3b9b64777edc8214420acf2d5097f5dd`
BLAKE2b-256 checksum How to use checksums	`00fe6698dd21b79eab416ad202057e6839430ba3393dd6ae60184e5121dbd3a5`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp314-cp314-manylinux_2_28_aarch64.whl

Download URL	pyramids_gis-0.64.0-cp314-cp314-manylinux_2_28_aarch64.whl
Size	31.0 MB
Tags	CPython 3.14 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`8e6870effa2623b9cdf544511ca5fa89fee6af45c7b36014ed2f98bf3297ff84`
BLAKE2b-256 checksum How to use checksums	`ccb47979c78da0bb18d28245b17ed1658d0c0e62667c51d9f31528719eb595c3`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp314-cp314-macosx_11_0_x86_64.whl

Download URL	pyramids_gis-0.64.0-cp314-cp314-macosx_11_0_x86_64.whl
Size	47.3 MB
Tags	CPython 3.14 macOS 11.0+ x86-64
SHA-256 checksum How to use checksums	`5a71499917ff9dfb251713ef4a1b6fba9c4dd8cf7317634654cc0b5075f42e7b`
BLAKE2b-256 checksum How to use checksums	`e0b63f79ccb6ebc67985e09fb37d04a40a48ffad4837616c4cc98f985887131b`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp314-cp314-macosx_11_0_arm64.whl

Download URL	pyramids_gis-0.64.0-cp314-cp314-macosx_11_0_arm64.whl
Size	44.1 MB
Tags	CPython 3.14 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`0116afec176cb0925f0d4e52b737d6181966ede040f9d0b41852517fe693f961`
BLAKE2b-256 checksum How to use checksums	`a4c0d06e405841c9ebd30b8f69417813fcf334738d4989dc4e73e2cd69c6f973`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp313-cp313-win_arm64.whl

Download URL	pyramids_gis-0.64.0-cp313-cp313-win_arm64.whl
Size	26.6 MB
Tags	CPython 3.13 Windows ARM64
SHA-256 checksum How to use checksums	`d81a98c0671bd976f3490ef9c21d1fb89dd295202f86824b47fafce7c990141f`
BLAKE2b-256 checksum How to use checksums	`dd5330b49bc6aadda93457ca22f9378a10e8a39cfd2586481f8ceecd7b176bfc`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp313-cp313-win_amd64.whl

Download URL	pyramids_gis-0.64.0-cp313-cp313-win_amd64.whl
Size	51.2 MB
Tags	CPython 3.13 Windows x86-64
SHA-256 checksum How to use checksums	`fdcce17ba1b37c0c083ab31844ce5a76f9a1791e6f03c9acb15c993618a1cf9e`
BLAKE2b-256 checksum How to use checksums	`b705108fc30cc1a98ff63edf91563faac355e78b9a4db21d388938a487203448`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp313-cp313-manylinux_2_28_x86_64.whl

Download URL	pyramids_gis-0.64.0-cp313-cp313-manylinux_2_28_x86_64.whl
Size	32.5 MB
Tags	CPython 3.13 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`3d57c5e5d15b9a03e99166718664db09b403a158a172287a0601b00934c86bba`
BLAKE2b-256 checksum How to use checksums	`4b1316757101d5645f04cee6a2221702b9fa9f7e543d9c4390dbe432b225d9cb`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp313-cp313-manylinux_2_28_aarch64.whl

Download URL	pyramids_gis-0.64.0-cp313-cp313-manylinux_2_28_aarch64.whl
Size	31.0 MB
Tags	CPython 3.13 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`1cc84007ffc55fac16f2e9e7b782431629f5866be42a53d987d59b1343aae3e8`
BLAKE2b-256 checksum How to use checksums	`6f0a693cf236629d6ed60db89128a30cda11f66b624b68d664e5cfbdd1946d04`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp313-cp313-macosx_11_0_x86_64.whl

Download URL	pyramids_gis-0.64.0-cp313-cp313-macosx_11_0_x86_64.whl
Size	47.3 MB
Tags	CPython 3.13 macOS 11.0+ x86-64
SHA-256 checksum How to use checksums	`286bb21f5941c4a0ff400e2631d82fd819c7854d9a5bbfb0c6140402ea43a36b`
BLAKE2b-256 checksum How to use checksums	`1a910e0cb4568831efdc21bec1cd31c419d2ab94d5ecd7eb0a6f4c4ab5788264`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp313-cp313-macosx_11_0_arm64.whl

Download URL	pyramids_gis-0.64.0-cp313-cp313-macosx_11_0_arm64.whl
Size	44.1 MB
Tags	CPython 3.13 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`a987427ec1f8bafb4967475f5d155b7415c27fe106e8c889f70c6cd5fbb2f3e7`
BLAKE2b-256 checksum How to use checksums	`9ca289b5099af6586c8bbad04439526ab39c2c02b5f839972800d41dd3788588`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp312-cp312-win_arm64.whl

Download URL	pyramids_gis-0.64.0-cp312-cp312-win_arm64.whl
Size	26.6 MB
Tags	CPython 3.12 Windows ARM64
SHA-256 checksum How to use checksums	`9cc2050080f985d733ad8ef3220042e30b7cc2ea4d846fdf593211809d6bd68c`
BLAKE2b-256 checksum How to use checksums	`d7285e6a18339325c7a3421f9f023d05a02a1ef0131dd4547b5b44c36fb3d360`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp312-cp312-win_amd64.whl

Download URL	pyramids_gis-0.64.0-cp312-cp312-win_amd64.whl
Size	51.2 MB
Tags	CPython 3.12 Windows x86-64
SHA-256 checksum How to use checksums	`5cb2fc7548a0f843b6af51859da737f0319bcc4757107fb11b0f1bdd69d83cd1`
BLAKE2b-256 checksum How to use checksums	`ac538db050a412423503c9d723585b6b503d358c2f2b1b267eefb809a86d36f2`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp312-cp312-manylinux_2_28_x86_64.whl

Download URL	pyramids_gis-0.64.0-cp312-cp312-manylinux_2_28_x86_64.whl
Size	32.5 MB
Tags	CPython 3.12 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`a10b1f9d29138b72aabaad85d500bb725473d373a4bb01038e2aceec921d9ab2`
BLAKE2b-256 checksum How to use checksums	`c74a38a7a34e0a001efbd01040623a019047e06f301b113d8f493088508ce479`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp312-cp312-manylinux_2_28_aarch64.whl

Download URL	pyramids_gis-0.64.0-cp312-cp312-manylinux_2_28_aarch64.whl
Size	31.0 MB
Tags	CPython 3.12 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`ca5c5d0fd0afbe4dd1a740342312984bd5bc4f9ba2a9bbb53ba49ca6c9b56d3d`
BLAKE2b-256 checksum How to use checksums	`b9e29c5eda9b402c700c0163a2c5dfface52c194c652004a71d7f94c057935ae`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp312-cp312-macosx_11_0_x86_64.whl

Download URL	pyramids_gis-0.64.0-cp312-cp312-macosx_11_0_x86_64.whl
Size	47.3 MB
Tags	CPython 3.12 macOS 11.0+ x86-64
SHA-256 checksum How to use checksums	`34f000fc24eae5f59cd9eca34cfc5863e34df68e44049324a441b1d693fe65a4`
BLAKE2b-256 checksum How to use checksums	`1f81155dfafc491368061c7ac81afb48407b5542d5d82e888239a03aed5388b3`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp312-cp312-macosx_11_0_arm64.whl

Download URL	pyramids_gis-0.64.0-cp312-cp312-macosx_11_0_arm64.whl
Size	44.1 MB
Tags	CPython 3.12 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`2c45c9d2e0690f4d043bbfd94dc2fda316d5fdf502af1ef8ecbb7219e3b5b443`
BLAKE2b-256 checksum How to use checksums	`b7c7cebb5c468bbb06c378e6e7cbf8a6a98f7b3df488437ed4bac75914b4c307`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp311-cp311-win_amd64.whl

Download URL	pyramids_gis-0.64.0-cp311-cp311-win_amd64.whl
Size	51.2 MB
Tags	CPython 3.11 Windows x86-64
SHA-256 checksum How to use checksums	`5e4f0032745d788d9eb50e7df77b6a062bac0ce0dc7fac71842db9fe41a7170f`
BLAKE2b-256 checksum How to use checksums	`c795ea55a03d407e4743cbfed630384ef3586567b974e3fa347c34967b7c99a0`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp311-cp311-manylinux_2_28_x86_64.whl

Download URL	pyramids_gis-0.64.0-cp311-cp311-manylinux_2_28_x86_64.whl
Size	32.5 MB
Tags	CPython 3.11 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`a9db43dfb9c33c6567054e637cbb08b61b0986d10608a6a0e05a9cd65ea81c4b`
BLAKE2b-256 checksum How to use checksums	`cfbc31e6e9ee50d3235f49c43c256907a6766c0cb042a244176f9eec44603bd0`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp311-cp311-manylinux_2_28_aarch64.whl

Download URL	pyramids_gis-0.64.0-cp311-cp311-manylinux_2_28_aarch64.whl
Size	31.0 MB
Tags	CPython 3.11 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`a0ef942531bad53a64faff1c8ab362d5e8d45409a3c3773da1bb4cb4908dcd84`
BLAKE2b-256 checksum How to use checksums	`ef6e9b9b7de9c11c97da7904c47d6f098f7f8efdf17f9ea6d1caa8c38759e528`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp311-cp311-macosx_11_0_x86_64.whl

Download URL	pyramids_gis-0.64.0-cp311-cp311-macosx_11_0_x86_64.whl
Size	47.3 MB
Tags	CPython 3.11 macOS 11.0+ x86-64
SHA-256 checksum How to use checksums	`6a7fa071bf796570a5e3e365c0342c344dcd461e050598336739ad31c792e098`
BLAKE2b-256 checksum How to use checksums	`4bd1f316e2bee3b02d30c3228aa423e007bdca8ca2a869240b34fccf00d0c74c`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / pyramids_gis-0.64.0-cp311-cp311-macosx_11_0_arm64.whl

Download URL	pyramids_gis-0.64.0-cp311-cp311-macosx_11_0_arm64.whl
Size	44.1 MB
Tags	CPython 3.11 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`8361e5c729d17898e2db4c04620a20482714059e6db71673faa0db97643bbaf9`
BLAKE2b-256 checksum How to use checksums	`034be06f8a9aa98d76797b9840f26d65aeac89890d789de41b2994efe0ac45d7`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`