Skip to main content

Plugin-based component modeling tool.

Project description

https://zenodo.org/badge/DOI/10.5281/zenodo.154179.svg https://readthedocs.org/projects/landlab/badge/?version=latest https://travis-ci.org/landlab/landlab.svg?branch=master https://coveralls.io/repos/landlab/landlab/badge.png https://ci.appveyor.com/api/projects/status/6u0bj0pggxrmf7s1/branch/master?svg=true https://landscape.io/github/landlab/landlab/master/landscape.svg

landlab

The Landlab project creates an environment in which scientists can build a numerical landscape model without having to code all of the individual components. Landscape models compute flows of mass, such as water, sediment, glacial ice, volcanic material, or landslide debris, across a gridded terrain surface. Landscape models have a number of commonalities, such as operating on a grid of points and routing material across the grid. Scientists who want to use a landscape model often build their own unique model from the ground up, re-coding the basic building blocks of their landscape model rather than taking advantage of codes that have already been written.

More information can be found at the website:

http://landlab.github.io

This open-source manuscript is a gateway for entering the Landlab world:

http://www.earth-surf-dynam.net/5/21/2017/

Two main installation options exist for Landlab. Most people will likely want to install the conda package. Individuals interested in modifying the Landlab source code should follow the developer installation instructions.

The most current source code is always available from our git repository:

http://github.com/landlab/landlab

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

landlab-1.11.0-cp37-cp37m-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.7mWindows x86-64

landlab-1.11.0-cp36-cp36m-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.6mWindows x86-64

landlab-1.11.0-cp27-cp27m-win_amd64.whl (2.0 MB view details)

Uploaded CPython 2.7mWindows x86-64

File details

Details for the file landlab-1.11.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: landlab-1.11.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.1

File hashes

Hashes for landlab-1.11.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 e7f60440293a520f17126a082f0b5f3c65a773dd9079c1b1d327aba4923ea7a5
MD5 eb94f190e69a236e6594aa1630a02a24
BLAKE2b-256 3fa647c2c813fd7b224509974bf3976bf226a3df30446cc6bc0730ece7827715

See more details on using hashes here.

File details

Details for the file landlab-1.11.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: landlab-1.11.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/39.2.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.6.5

File hashes

Hashes for landlab-1.11.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 b67215bac9eafaf69b6a823e7c248c14cc1457275dbcdecb2f3d4e35693449c8
MD5 e17c1b71416ad9a73884ecd5cf8302c5
BLAKE2b-256 73d6cbdf2e899b345839c46f8b3d721a2942a0fc0eff4650672cba2d58b6e9ce

See more details on using hashes here.

File details

Details for the file landlab-1.11.0-cp27-cp27m-win_amd64.whl.

File metadata

  • Download URL: landlab-1.11.0-cp27-cp27m-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 2.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/2.7.15

File hashes

Hashes for landlab-1.11.0-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 82b0ba786868ec281f26435d0b7c28a15654a7af2a998dc79dfe288f16f83b30
MD5 273bda3a2200dfb79553c876714356d2
BLAKE2b-256 89125898f2c9716904d21510e0ce846ff53789e1cbaab808088b01b186bc1f88

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page