Cython backend for GSTools.

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Project description

Welcome to GSTools-Cython

GSTools-LOGO

Get in Touch!

Installation

This is the Cython backend for the Geo-Statistical Toolbox GSTools. It is not ment to be installed directly.

conda

GSTools can be installed via conda on Linux, Mac, and Windows. Install the package by typing the following command in a command terminal:

conda install gstools

In case conda forge is not set up for your system yet, see the easy to follow instructions on conda forge. Using conda, the parallelized version of GSTools should be installed.

pip

GSTools can be installed via pip on Linux, Mac, and Windows. On Windows you can install WinPython to get Python and pip running. Install the package by typing the following command in a command terminal:

pip install gstools

To install the latest development version via pip, see the documentation. One thing to point out is that this way, the non-parallel version of GSTools is installed. In case you want the parallel version, follow these easy steps.

Citation

If you are using GSTools in your publication please cite our paper:

Müller, S., Schüler, L., Zech, A., and Heße, F.: GSTools v1.3: a toolbox for geostatistical modelling in Python, Geosci. Model Dev., 15, 3161–3182, https://doi.org/10.5194/gmd-15-3161-2022, 2022.

You can cite the Zenodo code publication of GSTools by:

Sebastian Müller & Lennart Schüler. GeoStat-Framework/GSTools. Zenodo. https://doi.org/10.5281/zenodo.1313628

If you want to cite a specific version, have a look at the Zenodo site.

Documentation

GSTools: https://gstools.readthedocs.io/
GSTools-Cython: https://gstools-cython.readthedocs.io/

Cython backend

This package is the cython backend implementation for GSTools.

Requirements

NumPy >= 1.20.0

Contact

You can contact us via info@geostat-framework.org.

License

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Release history Release notifications | RSS feed

This version

1.2.0

Dec 26, 2025

1.1.0

Apr 28, 2025

1.0.0

Feb 8, 2025

1.0.0rc1 pre-release

Feb 3, 2025

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gstools-cython 1.2.0

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Algorithm	Hash digest
SHA256	`b59f1b51b198609a417b1a80ef4c113ad91bca8da32f3bb7aa8a9df3957ae0ee`
MD5	`7907284518eb4ada3c939a27922adeaf`
BLAKE2b-256	`cce496ed8ab05b1fcb9ec380e3e75a4536f82f0923cd50266899fa05090a325e`

Algorithm	Hash digest
SHA256	`0b18af08168d384f0d098175dce58accbea791ad6d98eb087500c0240ee9432f`
MD5	`bd586c979ee3003055d38dc949a0233a`
BLAKE2b-256	`cc21658ff90d459689d18239e34a3403750c8591da94086dc10d02cc64d94287`

Algorithm	Hash digest
SHA256	`85a3d094d8c8b5a30e29b5e4335b621a41237071a27e85124e22cd03b8bc6faf`
MD5	`6d1c9d997bd2c4de87b05c9d9c831838`
BLAKE2b-256	`dbaf77c975325407533523a28c156cfe5a2a9e68603b209218905f15cc4387ec`

Algorithm	Hash digest
SHA256	`b435bdadb29c19a25cf351900449a190c78bf25802a445cf621e88135e7231a6`
MD5	`f7f8b716669e972bf66101e024ca491f`
BLAKE2b-256	`6d3a18ec428f61efc580b5c181c41537a4b3f15e3e00b192a403d78b4e1bd24a`

Algorithm	Hash digest
SHA256	`e5405df6d67b7f32311f1e3b7ae362e9e9ab072e812a37df8e680b10c24f5f0d`
MD5	`97f954d509a0885e6887334054bf8b2f`
BLAKE2b-256	`e782408a14e7db22eeb59753f4378bb393a8e55d53a07313e403af3f881a8753`

Algorithm	Hash digest
SHA256	`b78bd6e8f285b669687b3d05a8e14650f418979204e53d7074b87a9aace288e9`
MD5	`75d37c2f8a65bf4339955f51be205fc0`
BLAKE2b-256	`25237529e3a3f3fe073e0c52e56d72ab3d23cffec14991ba1830c7f3aced9fa1`

Algorithm	Hash digest
SHA256	`54d069eefa531a09f126a1b58bb0f3638c366b9197b4316a993ff8d6c73c2681`
MD5	`85bad3a5b4bc6f2301514271a15c5736`
BLAKE2b-256	`7527d3e9a1978d9fe878086d255ccd6de3bbf4f9ddc6bb723b25d96f35d64313`

Algorithm	Hash digest
SHA256	`8f9760a45222f564234fa9ef15260010a6f0bf08c1e294715dd4b9694f0bbfc1`
MD5	`af9b1fc8153d2fe1e52e8d2abea42dc5`
BLAKE2b-256	`0148dd7fb1b14c7cf748ee0839517216e46a5083e1e8fbcc12f6e168c7933035`

Algorithm	Hash digest
SHA256	`12281caa8afb594f92ff88619ef660445506644d2a556518824c73991b5ac79d`
MD5	`47804cad8748ac9b67d226b9a6dc4baf`
BLAKE2b-256	`74d83799d6bf14085b7ebee3da33ad45c56d9c4bcd570d9565621a4fcc303c52`

Algorithm	Hash digest
SHA256	`d32d49aac5b14c4f3740e235d971b8472152a4c115d7b769a2828eec00f89a37`
MD5	`02f7182b1b45c33095b6f5dba8b4a3a5`
BLAKE2b-256	`8e693f3b8dbbc2fa8b6d6c8d2aeb85497073a14e2aee39befc019d883b5ef77d`