Skip to main content
pyramids — GIS utilities for rasters, vectors & datacubes, built on GDAL/OGR

Documentations Python Versions License: GPL v3 pre-commit GitHub last commit GitHub Repo stars codecov Codacy Badge

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

pages-build-deployment

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Downloads Downloads Downloads PyPI - Downloads Conda Version PyPI version Conda 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 0.62.0

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 0.62.0
File Size Uploaded
pyramids_gis-0.62.0.tar.gz 1.4 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for pyramids-gis 0.62.0
File
pyramids_gis-0.62.0-cp314-cp314-win_arm64.whl CPython 3.14 CPython 3.14 Windows ARM64 Details
pyramids_gis-0.62.0-cp314-cp314-win_amd64.whl CPython 3.14 CPython 3.14 Windows x86-64 Details
pyramids_gis-0.62.0-cp314-cp314-manylinux_2_28_x86_64.whl CPython 3.14 CPython 3.14 Linux glibc 2.28+ x86-64 Details
pyramids_gis-0.62.0-cp314-cp314-manylinux_2_28_aarch64.whl CPython 3.14 CPython 3.14 Linux glibc 2.28+ ARM64 Details
pyramids_gis-0.62.0-cp314-cp314-macosx_11_0_x86_64.whl CPython 3.14 CPython 3.14 macOS 11.0+ x86-64 Details
pyramids_gis-0.62.0-cp314-cp314-macosx_11_0_arm64.whl CPython 3.14 CPython 3.14 macOS 11.0+ ARM64 Details
pyramids_gis-0.62.0-cp313-cp313-win_arm64.whl CPython 3.13 CPython 3.13 Windows ARM64 Details
pyramids_gis-0.62.0-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details
pyramids_gis-0.62.0-cp313-cp313-manylinux_2_28_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.28+ x86-64 Details
pyramids_gis-0.62.0-cp313-cp313-manylinux_2_28_aarch64.whl CPython 3.13 CPython 3.13 Linux glibc 2.28+ ARM64 Details
pyramids_gis-0.62.0-cp313-cp313-macosx_11_0_x86_64.whl CPython 3.13 CPython 3.13 macOS 11.0+ x86-64 Details
pyramids_gis-0.62.0-cp313-cp313-macosx_11_0_arm64.whl CPython 3.13 CPython 3.13 macOS 11.0+ ARM64 Details
pyramids_gis-0.62.0-cp312-cp312-win_arm64.whl CPython 3.12 CPython 3.12 Windows ARM64 Details
pyramids_gis-0.62.0-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details
pyramids_gis-0.62.0-cp312-cp312-manylinux_2_28_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ x86-64 Details
pyramids_gis-0.62.0-cp312-cp312-manylinux_2_28_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ ARM64 Details
pyramids_gis-0.62.0-cp312-cp312-macosx_11_0_x86_64.whl CPython 3.12 CPython 3.12 macOS 11.0+ x86-64 Details
pyramids_gis-0.62.0-cp312-cp312-macosx_11_0_arm64.whl CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
pyramids_gis-0.62.0-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details
pyramids_gis-0.62.0-cp311-cp311-manylinux_2_28_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.28+ x86-64 Details
pyramids_gis-0.62.0-cp311-cp311-manylinux_2_28_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.28+ ARM64 Details
pyramids_gis-0.62.0-cp311-cp311-macosx_11_0_x86_64.whl CPython 3.11 CPython 3.11 macOS 11.0+ x86-64 Details
pyramids_gis-0.62.0-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details

Total release size: 903.7 MB

Release files / pyramids_gis-0.62.0.tar.gz

Download URL pyramids_gis-0.62.0.tar.gz
Size 1.4 MB
Tags Source
SHA-256 checksum
How to use checksums
19e99f485f3290d3d910c59f4f92b28e8a84b26b890fae6fbefe894d0387416e
BLAKE2b-256 checksum
How to use checksums
c096cfba90d4c55e0a50ac2fa2975a4289106cc60416e2686e47ca7830a1ecd9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp314-cp314-win_arm64.whl

Download URL pyramids_gis-0.62.0-cp314-cp314-win_arm64.whl
Size 27.1 MB
Tags CPython 3.14 Windows ARM64
SHA-256 checksum
How to use checksums
40e0ccdde7280939789682ca4cfb09b9117ddf12ef5c4a554f6821e6b6073493
BLAKE2b-256 checksum
How to use checksums
c9f096fa0ba3903d0bb916518198a2c64beb5db0f7245e83d26e8dabf3ac6234
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp314-cp314-win_amd64.whl

Download URL pyramids_gis-0.62.0-cp314-cp314-win_amd64.whl
Size 52.7 MB
Tags CPython 3.14 Windows x86-64
SHA-256 checksum
How to use checksums
fdaa505310217f601bb7f01b067dd8c3b661c70ef12514353389b2a7189025c1
BLAKE2b-256 checksum
How to use checksums
76385c539ddf070ef20c654101a8209e678b3b20bc4b1d10f35c47edea382001
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp314-cp314-manylinux_2_28_x86_64.whl

Download URL pyramids_gis-0.62.0-cp314-cp314-manylinux_2_28_x86_64.whl
Size 32.3 MB
Tags CPython 3.14 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
09913e910432122d0b532262cf5a10fcba53246c2cafaceae515825d23f200da
BLAKE2b-256 checksum
How to use checksums
ac8f0dae0b02463762ab8af57dab968d07ff5727dd64b7b77a232b3fa1169cf3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp314-cp314-manylinux_2_28_aarch64.whl

Download URL pyramids_gis-0.62.0-cp314-cp314-manylinux_2_28_aarch64.whl
Size 30.9 MB
Tags CPython 3.14 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
4bcb4759c9504f7b19ef0103437b2389fffbcd19cd47d5e7c0fa848fc6edbc5f
BLAKE2b-256 checksum
How to use checksums
ebfcf92f9886e9511be04195da43b4b0184ed46966c7ea201860cfe6fa687b8f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp314-cp314-macosx_11_0_x86_64.whl

Download URL pyramids_gis-0.62.0-cp314-cp314-macosx_11_0_x86_64.whl
Size 47.0 MB
Tags CPython 3.14 macOS 11.0+ x86-64
SHA-256 checksum
How to use checksums
3494d66b1e2bc022aa7c112db944869af7c09fba95ceea090dfd4b726de6d466
BLAKE2b-256 checksum
How to use checksums
84b5fe8838d503d171ff465b01f0236f719d0519b1df1d7eba2be7e9bbeb258c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp314-cp314-macosx_11_0_arm64.whl

Download URL pyramids_gis-0.62.0-cp314-cp314-macosx_11_0_arm64.whl
Size 43.9 MB
Tags CPython 3.14 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
d712016dbada7c9abf7f9e8b69f1c8c85a3acee4c318af6b4136e6171dfd12db
BLAKE2b-256 checksum
How to use checksums
29cf854b4791351a3abc38ecefd5fd1a98d88e01421a3d43848bd672af5fb007
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp313-cp313-win_arm64.whl

Download URL pyramids_gis-0.62.0-cp313-cp313-win_arm64.whl
Size 26.4 MB
Tags CPython 3.13 Windows ARM64
SHA-256 checksum
How to use checksums
ccf2d524f66635f3f7b4d9c0458df292d538fbf54459b26be7718253f7c4bf41
BLAKE2b-256 checksum
How to use checksums
3704cf4b5af414e4cfdcd7c7772b6123dcb84b2ac825181c4b256340d0fc32b5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp313-cp313-win_amd64.whl

Download URL pyramids_gis-0.62.0-cp313-cp313-win_amd64.whl
Size 51.0 MB
Tags CPython 3.13 Windows x86-64
SHA-256 checksum
How to use checksums
9fec70140e378117d884d0e643659b9b5d3d8043140b98c6f2c0de37f6541285
BLAKE2b-256 checksum
How to use checksums
7517ea00fcf5018604d8e5d059f71871c99844101826b6f74ab1774dc0c40c13
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp313-cp313-manylinux_2_28_x86_64.whl

Download URL pyramids_gis-0.62.0-cp313-cp313-manylinux_2_28_x86_64.whl
Size 32.3 MB
Tags CPython 3.13 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
93a554161941387a235b5ce315338133d8ce3096965f0e0ec33c26276420acad
BLAKE2b-256 checksum
How to use checksums
6b3260a0bb8284b907b99ae291321f330f96ee0d7a4d48dcc10e0d255ea1b70e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp313-cp313-manylinux_2_28_aarch64.whl

Download URL pyramids_gis-0.62.0-cp313-cp313-manylinux_2_28_aarch64.whl
Size 30.9 MB
Tags CPython 3.13 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
62372275ea7362e3e9e63272df89cd07657d15b20c8606b4a539541e24df8f34
BLAKE2b-256 checksum
How to use checksums
446569756a0024939316f6aaa1c3e6621cf7f5f0cc9794d475ea2f9947ac2a0a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp313-cp313-macosx_11_0_x86_64.whl

Download URL pyramids_gis-0.62.0-cp313-cp313-macosx_11_0_x86_64.whl
Size 47.0 MB
Tags CPython 3.13 macOS 11.0+ x86-64
SHA-256 checksum
How to use checksums
77d58e2b3bfe9678b1fc7da9ec95635f12cff9b9df0244fb35b2e19ba65e5603
BLAKE2b-256 checksum
How to use checksums
351997b11efe35abed4d1bc36a0a58ef532a09dd9d0b4aecf052992720182aff
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp313-cp313-macosx_11_0_arm64.whl

Download URL pyramids_gis-0.62.0-cp313-cp313-macosx_11_0_arm64.whl
Size 43.9 MB
Tags CPython 3.13 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
bd1d2a87ffe29cc9858448795271cf35b41231cea31d15cca35876d8d97ab4cc
BLAKE2b-256 checksum
How to use checksums
20ce9dff858e72ae2213953889d50a1358ea49f7a6a8578daab09965cad4215a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp312-cp312-win_arm64.whl

Download URL pyramids_gis-0.62.0-cp312-cp312-win_arm64.whl
Size 26.4 MB
Tags CPython 3.12 Windows ARM64
SHA-256 checksum
How to use checksums
456d822b7147c553ca40896dc2dc2fee2d919b6852db1730019a3bd622b6d776
BLAKE2b-256 checksum
How to use checksums
ef9ce703138179092a4027932dfe6fc1c3e0112cbd9be40801dc6979b89a492d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp312-cp312-win_amd64.whl

Download URL pyramids_gis-0.62.0-cp312-cp312-win_amd64.whl
Size 51.0 MB
Tags CPython 3.12 Windows x86-64
SHA-256 checksum
How to use checksums
cd9c6fc53d08ce82c1fc29b2ccfcf4f34c3da92997e65280bf99834dc22e4fa7
BLAKE2b-256 checksum
How to use checksums
a99c6da36c032445667e73b06c07a5f2f9a76d4f1591197ba0ef1d36a87f0373
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp312-cp312-manylinux_2_28_x86_64.whl

Download URL pyramids_gis-0.62.0-cp312-cp312-manylinux_2_28_x86_64.whl
Size 32.3 MB
Tags CPython 3.12 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
1437c373ab50d6022b1251f77364fc9ce364ad923f5aaee1e07dbd7327d5650a
BLAKE2b-256 checksum
How to use checksums
8755c25420f3b1e92f28ffc901fcbd288c5d8fb00b2857de998b477ef8b6cefd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp312-cp312-manylinux_2_28_aarch64.whl

Download URL pyramids_gis-0.62.0-cp312-cp312-manylinux_2_28_aarch64.whl
Size 30.9 MB
Tags CPython 3.12 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
df95b6258903e88f5d6f7db98ea7aaf3d3b970219bddd0840190afc484cc1ad0
BLAKE2b-256 checksum
How to use checksums
fa457b935fe36e89256379538621d1594c9e7d030a92e4812236f2eaf671bb4d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp312-cp312-macosx_11_0_x86_64.whl

Download URL pyramids_gis-0.62.0-cp312-cp312-macosx_11_0_x86_64.whl
Size 47.0 MB
Tags CPython 3.12 macOS 11.0+ x86-64
SHA-256 checksum
How to use checksums
95240f6b817e3c6d8879e1d5817e3db9cc0ecee42e740ef6602d38faf432ceb2
BLAKE2b-256 checksum
How to use checksums
764692758f30f12ed668b9c708514622da9e1730857cf569ded091ed285e8242
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp312-cp312-macosx_11_0_arm64.whl

Download URL pyramids_gis-0.62.0-cp312-cp312-macosx_11_0_arm64.whl
Size 43.9 MB
Tags CPython 3.12 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
1d0027f7a5f190701cab7de1a775bca36fe1c3955f0ca1e29f1dcde3ae6d0108
BLAKE2b-256 checksum
How to use checksums
7268c02c585995df9866692a4aac684d5dd0605f33bfa6806c4210c2e330ba9a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp311-cp311-win_amd64.whl

Download URL pyramids_gis-0.62.0-cp311-cp311-win_amd64.whl
Size 51.0 MB
Tags CPython 3.11 Windows x86-64
SHA-256 checksum
How to use checksums
5635f4e7b25d657c947ff6476017b4af7454bb0bf1986bbd32b2a7e4a68bcfad
BLAKE2b-256 checksum
How to use checksums
fe664c3188a99be00899578b5cbef4316d3d224d22c070755130c3b58bd108c1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp311-cp311-manylinux_2_28_x86_64.whl

Download URL pyramids_gis-0.62.0-cp311-cp311-manylinux_2_28_x86_64.whl
Size 32.3 MB
Tags CPython 3.11 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
7647a9d7c4347e2bf020de46e33e257610713d10827e0aeabad22dd59095f7d6
BLAKE2b-256 checksum
How to use checksums
600c8f21db93598a047ef21a519606b87c6d3ba9ec95334a04b311487b565c8f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp311-cp311-manylinux_2_28_aarch64.whl

Download URL pyramids_gis-0.62.0-cp311-cp311-manylinux_2_28_aarch64.whl
Size 30.9 MB
Tags CPython 3.11 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
9c25da72f6177573fafa7a3cff71e5398ebcc233c416e1577d620f8ddc99466a
BLAKE2b-256 checksum
How to use checksums
eebbf95a0c154c5b7b258c6b26c5f8842616a47bf7ea0c214fe48bfeae13f447
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp311-cp311-macosx_11_0_x86_64.whl

Download URL pyramids_gis-0.62.0-cp311-cp311-macosx_11_0_x86_64.whl
Size 47.0 MB
Tags CPython 3.11 macOS 11.0+ x86-64
SHA-256 checksum
How to use checksums
53b797976a55cebd0add222d080f3eca150cb0a6cf16c1c1714cb4145471dd2c
BLAKE2b-256 checksum
How to use checksums
2b7ea2914ba4373f538bb3253d1705880af3f38bc32061dae4c42eaff13093db
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / pyramids_gis-0.62.0-cp311-cp311-macosx_11_0_arm64.whl

Download URL pyramids_gis-0.62.0-cp311-cp311-macosx_11_0_arm64.whl
Size 43.9 MB
Tags CPython 3.11 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
68ca7bca15ec6a02f45480c5dbe999debbf1bcb403507c3c6685537f6ca7c643
BLAKE2b-256 checksum
How to use checksums
51446ba8195a59696b5b0a5ec072be95c7fd2273b4e59c3ee62b91118f940e24
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release history Release notifications | RSS feed

This release

0.62.0 This release

24 release files

0.58.0

1 release file

0.57.1

1 release file

0.57.0

1 release file

0.56.0

1 release file

0.55.0

1 release file

0.54.0

1 release file

0.53.0

1 release file

0.52.0

1 release file

0.51.0

1 release file

0.50.0

1 release file

0.49.0

0.48.0

1 release file

0.47.0

1 release file

0.46.0

1 release file

0.45.0

1 release file

0.44.0

1 release file

0.43.0

1 release file

0.42.0

1 release file

0.41.0

1 release file

0.40.0

1 release file

0.39.0

1 release file

0.38.0

1 release file

0.37.0

1 release file

0.36.0

1 release file

0.35.0

1 release file

0.34.0

1 release file

0.33.0

1 release file

0.32.0

1 release file

0.31.0

1 release file

0.30.0

1 release file

0.29.0

1 release file

0.28.0

1 release file

0.27.0

1 release file

0.26.0

1 release file

0.25.1

1 release file

0.25.0

1 release file

0.24.1

1 release file

0.24.0

1 release file

0.23.0

1 release file

0.22.0

1 release file

0.21.0

1 release file

0.20.0

1 release file

0.19.0

2 release files

0.18.0

2 release files

0.17.0

2 release files

0.15.0

2 release files

0.14.0

2 release files

0.13.0

2 release files

0.12.0

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.8.0

2 release files

0.7.3

2 release files

0.7.2

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.0

2 release files

0.5.6

2 release files

0.5.5

2 release files

0.5.4

2 release files

0.5.3

2 release files

0.5.2

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.2

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.12

2 release files

0.2.11

2 release files

0.2.10

2 release files

0.2.9

2 release files

0.2.8

2 release files

0.2.7

2 release files

0.2.6

2 release files

0.2.5

2 release files

0.2.4

2 release files

0.2.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page