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/5u8nk9c4tnacmp6m/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-1.6.0-cp36-cp36m-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.6mWindows x86-64

landlab-1.6.0-cp36-cp36m-win32.whl (1.7 MB view details)

Uploaded CPython 3.6mWindows x86

landlab-1.6.0-cp27-cp27m-win_amd64.whl (1.9 MB view details)

Uploaded CPython 2.7mWindows x86-64

landlab-1.6.0-cp27-cp27m-win32.whl (1.8 MB view details)

Uploaded CPython 2.7mWindows x86

File details

Details for the file landlab-1.6.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: landlab-1.6.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for landlab-1.6.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 d11235a8af8448976c18e2e320c0047ffeadcb40d37e3ae6c838bba71c9ecf50
MD5 bbd39d935747d59e891959cceac849f9
BLAKE2b-256 70ec660be5d3237dc19b4e72b9c0ab2bb7eac23a0686d49bf2d7bd4b023623d4

See more details on using hashes here.

File details

Details for the file landlab-1.6.0-cp36-cp36m-win32.whl.

File metadata

  • Download URL: landlab-1.6.0-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for landlab-1.6.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 7a8b7da2e86fc39318bc2da2f8e39f6385a47185f751833116aba4446afb455b
MD5 301e04c1f1288e5e7ef996f30f2a633f
BLAKE2b-256 c369d2a375c8fa846fc0c3c13ee43a3362b749c020b112b6bada57861295c912

See more details on using hashes here.

File details

Details for the file landlab-1.6.0-cp27-cp27m-win_amd64.whl.

File metadata

  • Download URL: landlab-1.6.0-cp27-cp27m-win_amd64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 2.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15

File hashes

Hashes for landlab-1.6.0-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 f319b43c9842ecce4b5bf02b7f599d761fa16ef7041780f0ef67a914bb81cbd3
MD5 dc538c43c83670bd64ffcc2bf90e7cec
BLAKE2b-256 05687618a495447e406babe7f4bbaa253a2038d41df4c04a6dc63207e73567f3

See more details on using hashes here.

File details

Details for the file landlab-1.6.0-cp27-cp27m-win32.whl.

File metadata

  • Download URL: landlab-1.6.0-cp27-cp27m-win32.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 2.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15

File hashes

Hashes for landlab-1.6.0-cp27-cp27m-win32.whl
Algorithm Hash digest
SHA256 05d3eaccff4873b7afee5fcd946e2b67c79cbf88938a1f9220b6c3e056457c1c
MD5 aeb0d290aceb9192075b31a50d192e22
BLAKE2b-256 a6350e8834d720d3cd8b1f452b4797396ee2da7c96f76e03c253d7439f0f54fd

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