Skip to main content

Plugin-based component modeling tool.

Project description

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

After installation, tests can be run with:

$ python -c ‘import landlab; landlab.test()’

The most current development version is always available from our git repository:

http://github.com/landlab/landlab

Project Status

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?svg=true https://landscape.io/github/landlab/landlab/master/landscape.svg

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 Distribution

landlab-0.5.0.tar.gz (445.6 kB view details)

Uploaded Source

Built Distributions

landlab-0.5.0-cp34-cp34m-win_amd64.whl (649.5 kB view details)

Uploaded CPython 3.4m Windows x86-64

landlab-0.5.0-cp34-cp34m-win32.whl (644.7 kB view details)

Uploaded CPython 3.4m Windows x86

landlab-0.5.0-cp34-cp34m-macosx_10_5_x86_64.whl (659.2 kB view details)

Uploaded CPython 3.4m macOS 10.5+ x86-64

landlab-0.5.0-cp33-cp33m-win_amd64.whl (648.0 kB view details)

Uploaded CPython 3.3m Windows x86-64

landlab-0.5.0-cp33-cp33m-win32.whl (642.9 kB view details)

Uploaded CPython 3.3m Windows x86

landlab-0.5.0-cp33-cp33m-macosx_10_5_x86_64.whl (658.0 kB view details)

Uploaded CPython 3.3m macOS 10.5+ x86-64

landlab-0.5.0-cp27-cp27m-win_amd64.whl (670.5 kB view details)

Uploaded CPython 2.7m Windows x86-64

landlab-0.5.0-cp27-cp27m-win32.whl (660.3 kB view details)

Uploaded CPython 2.7m Windows x86

landlab-0.5.0-cp27-cp27m-macosx_10_5_x86_64.whl (683.2 kB view details)

Uploaded CPython 2.7m macOS 10.5+ x86-64

landlab-0.5.0-cp26-cp26m-win_amd64.whl (670.2 kB view details)

Uploaded CPython 2.6m Windows x86-64

landlab-0.5.0-cp26-cp26m-win32.whl (659.9 kB view details)

Uploaded CPython 2.6m Windows x86

File details

Details for the file landlab-0.5.0.tar.gz.

File metadata

  • Download URL: landlab-0.5.0.tar.gz
  • Upload date:
  • Size: 445.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for landlab-0.5.0.tar.gz
Algorithm Hash digest
SHA256 1d2cb6f5e644cce636bd4ef29808e9a61e20b92b3be7971ea0541f8aee324664
MD5 2ba048ca8853d49e19a7b412a3f31bbb
BLAKE2b-256 546d908f8caa8e431e0290adaecc3db9269b382d4bccb0c48fa965430ec2c537

See more details on using hashes here.

File details

Details for the file landlab-0.5.0-cp34-cp34m-win_amd64.whl.

File metadata

File hashes

Hashes for landlab-0.5.0-cp34-cp34m-win_amd64.whl
Algorithm Hash digest
SHA256 5894e0e84169f034f8f812fec75d7d5c025a93b604b4d4a950e3750d628155cf
MD5 ac9351edaf207ef16adbb4c1b09cdf83
BLAKE2b-256 c0a6f415f3622778ff90b2e36c8568737fd6c7d392773e6d414cbe7147b2e023

See more details on using hashes here.

File details

Details for the file landlab-0.5.0-cp34-cp34m-win32.whl.

File metadata

File hashes

Hashes for landlab-0.5.0-cp34-cp34m-win32.whl
Algorithm Hash digest
SHA256 15553acaaec0e497d30737bf7e82f3d23736ebe2c906adc1c839d4bb8aeb702e
MD5 c5476100fd750e13a6404f9e155af6c3
BLAKE2b-256 bcd01242636294a14000a22ee4820d73f392e11294ffc462cef8df9418f7d500

See more details on using hashes here.

File details

Details for the file landlab-0.5.0-cp34-cp34m-macosx_10_5_x86_64.whl.

File metadata

File hashes

Hashes for landlab-0.5.0-cp34-cp34m-macosx_10_5_x86_64.whl
Algorithm Hash digest
SHA256 00d00aec51694c54291b2b6aab6e79ca71f0ac538864f1dba39fd17fa63b59f0
MD5 78058573a62b6c00064c1fcbc6a77b46
BLAKE2b-256 43d3de93696e053af0c6f114ff83c09ba5297a8b4886b1971dcc702a928b7120

See more details on using hashes here.

File details

Details for the file landlab-0.5.0-cp33-cp33m-win_amd64.whl.

File metadata

File hashes

Hashes for landlab-0.5.0-cp33-cp33m-win_amd64.whl
Algorithm Hash digest
SHA256 d594047eb6f0e68dbecc0d689f94a3f5a6fdb173a62fefb2cae63b205db899ff
MD5 9be31012e6d0780114d6398f829cb28b
BLAKE2b-256 f679a81b9f9946fafa2ebae04f888a005356e4b99f0b3a2541382d67bd4d5f07

See more details on using hashes here.

File details

Details for the file landlab-0.5.0-cp33-cp33m-win32.whl.

File metadata

File hashes

Hashes for landlab-0.5.0-cp33-cp33m-win32.whl
Algorithm Hash digest
SHA256 37fb0cd86c34157e400e6db0a675f832fb168325c7436b9b723d20dac9595d77
MD5 5c7d13f52dd79b4d23b16863be0ab1a6
BLAKE2b-256 ee7bee69005edaa3bd5791a063d28bfabedcc23a01b277678d9f988dfdbf69c4

See more details on using hashes here.

File details

Details for the file landlab-0.5.0-cp33-cp33m-macosx_10_5_x86_64.whl.

File metadata

File hashes

Hashes for landlab-0.5.0-cp33-cp33m-macosx_10_5_x86_64.whl
Algorithm Hash digest
SHA256 79ccf24fbba3e7757200f35c055b9351e3f83f8a616dcf7722ad12bce6bf1f30
MD5 431e60a060dfc511bb187ecdb49a0292
BLAKE2b-256 fe208c8eee92f086d050dda43aa0d62d2936d2da82085de0c49fd6aca9d2c3a8

See more details on using hashes here.

File details

Details for the file landlab-0.5.0-cp27-cp27m-win_amd64.whl.

File metadata

File hashes

Hashes for landlab-0.5.0-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 62445945a0f36975c0c519c6a97f3adcb62c89912fb6ce03ba9086d7aa09655c
MD5 fd44e696eb4ef0d03be025ccb6c3f8d5
BLAKE2b-256 b4e3120bc2ba5479557f0e9f23b901aa5e75bbf5be10aa8606d362039cb38db1

See more details on using hashes here.

File details

Details for the file landlab-0.5.0-cp27-cp27m-win32.whl.

File metadata

File hashes

Hashes for landlab-0.5.0-cp27-cp27m-win32.whl
Algorithm Hash digest
SHA256 8e885c48bfa81cc1d5215c55d41cf3acc65fc184c20ff3d3940bffbd95c6f344
MD5 c5201090ccde89972d2d4e8165cdad13
BLAKE2b-256 984d78c5bc205f194d088e74059dfaec84eb8e961b88334301f226c2a65bf36a

See more details on using hashes here.

File details

Details for the file landlab-0.5.0-cp27-cp27m-macosx_10_5_x86_64.whl.

File metadata

File hashes

Hashes for landlab-0.5.0-cp27-cp27m-macosx_10_5_x86_64.whl
Algorithm Hash digest
SHA256 4378313f5f29d957a19274c61fb91f1fc198a4a63bd3f76e9f0eeeaeb555575a
MD5 501b9f2a084fbac97b41f63ff1c12c6a
BLAKE2b-256 092c7f9ebcf3060ca1d4b15b8b956e04ea07ed4f9f37d2eaaf5f9bc0a6f62f09

See more details on using hashes here.

File details

Details for the file landlab-0.5.0-cp26-cp26m-win_amd64.whl.

File metadata

File hashes

Hashes for landlab-0.5.0-cp26-cp26m-win_amd64.whl
Algorithm Hash digest
SHA256 4a617e7a79934ae67519a73f152db475c393843bf219b2204b52383bbeb17e65
MD5 845c2c6cab36f88f59b26bb366ef6f1a
BLAKE2b-256 1176e3c686f32720bb45de5e42cce5648d6730c90f4af5fb27f5789ffe51d3e1

See more details on using hashes here.

File details

Details for the file landlab-0.5.0-cp26-cp26m-win32.whl.

File metadata

File hashes

Hashes for landlab-0.5.0-cp26-cp26m-win32.whl
Algorithm Hash digest
SHA256 a286788be494ee2e533a126b1829fb68667a51b9dde4cad2955e0157c147f11d
MD5 7234a0bda88308f39dbea46765907e9e
BLAKE2b-256 f69203de1c558b4cba3221f7e130a5ff55f92bd2b4698b690728e9514cef76e4

See more details on using hashes here.

Supported by

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