Landlab
What does Landlab do?
Landlab is an open-source Python-language package for numerical modeling of Earth surface dynamics. It contains
- A gridding engine which represents the model domain. Regular and irregular grids are supported.
- A library of process components, each of which represents a physical process (e.g., generation of rain, erosion by flowing water). These components have a common interface and can be combined based on a user's needs.
- Utilities that support general numerical methods, file input/output, and visualization.
In addition Landlab contains a set of Jupyter notebook tutorials providing an introduction to core concepts and examples of use.
Landlab was designed for disciplines that quantify Earth surface dynamics such as geomorphology, hydrology, glaciology, and stratigraphy. It can also be used in related fields. Scientists who use this type of 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. Landlab saves practitioners from the need for this kind of re-invention by providing standardized components that they can re-use.
Watch the webinar Landlab Toolkit Overview at CSDMS to learn more.
Read the documentation on ReadTheDocs!
Installation
To install the latest release of landlab using pip, simply run the following in your terminal of choice:
$ pip install landlab
For a full description of how to install Landlab, including using mamba/conda, please see the documentation for our installation instructions.
Source code
If you would like to modify or contribute code to Landlab or use the very latest development version, please see the documentation that describes how to install landlab from source.
Are there any examples of using Landlab I can look at?
The Landlab package contains a directory, landlab/notebooks, with
Jupyter Notebooks describing core concepts and giving examples of using components.
The file landlab/notebooks/welcome.ipynb provides a table of contents to
the notebooks and is the recommended starting place.
Additionally, there are a set of notebooks curated to teach physical processes
located in the directory landlab/notebooks/teaching.
Run on Binder
To launch an instance of Binder and explore the notebooks click here.
To launch a Binder instance that goes straight to the teaching notebooks click here.
Run on EarthscapeHub
The Landlab notebooks can also be run on EarthscapeHub. Visit this link to learn how to sign up for a free account. Try the example notebooks on the explore or jupyter Hub instance. Or, use the teaching notebooks on the explore or jupyter Hub instance. Be sure to run all notebooks with the CSDMS kernel.
License
landlab is licensed under the MIT License.
Citing Landlab
If you use any portion of Landlab, please see the documentation for our citation guidelines.
Contact
The recommended way to contact the Landlab team is with a GitHub Issue.
- Bug reports: Please make an Issue describing the bug so we can address it, or work with you to address it. Please try to provide a minimal, reproducible example.
- Documentation: If something in our documentation is not clear to you, please make an issue describing the what isn't clear. Someone will tag the most appropriate member of the core Landlab team. We will work to clarify your question and revise the documentation so that it is clear for the next user.
Keep in touch with the latest landlab news by following us on Twitter.
During workshops and clinics, we sometimes use the Landlab Slack channel.
Credits
Development Leads
- Greg Tucker
- Nicole Gasparini
- Erkan Istanbulluoglu
- Daniel Hobley
- Sai S. Nudurupati
- Jordan Adams
- Eric Hutton
- Jenny Knuth
- Katy Barnhart
- Margaux Mouchene
- Christina Bandaragoda
- Nathan Lyons
Contributors
- Eric Hutton
- Katy Barnhart
- Dan Hobley
- Greg Tucker
- Jordan Adams
- Sai Nudurupati
- Nicole M Gasparini
- Laurent Roberge
- Charlie Shobe
- David Litwin
- Sebastien Lenard
- Ronda Strauch
- Benjamin Campforts
- Margaux Mouchene
- Jenny Knuth
- Berkan M
- Jeffrey Keck
- Amanda Manaster
- Nathan Lyons
- Allison Pfeiffer
- Annie Thompson
- Rachel Glade
- angelmons
- Giuseppecipolla95
- gantian127
- Dylan Ward
- Mark Piper
- Daniel Douglas
- Jay Hariharan
- Shelby Ahrendt
- Timo Heister
- Abby Langston
- Andy Wickert
- Christopher Sheehan
- Francis Rengers
- Josh Wolpert
- Juan David
- Kristen Thyng
- Muneer Ahammad
- Sarah Lundell
- Wolfgang Bangerth
- pankajiitkgp
3 maintainers
Release files for landlab 2.11.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| landlab-2.11.0.tar.gz | 11.1 MB | Details |
Built distributions (wheels)
Total release size: 630.3 MB
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| Size | 51.6 MB |
| Tags | CPython 3.11 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 |
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Transparency logRelease files / landlab-2.11.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
| Download URL | landlab-2.11.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 51.6 MB |
| Tags | CPython 3.11 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / landlab-2.11.0-cp311-cp311-macosx_11_0_arm64.whl
| Download URL | landlab-2.11.0-cp311-cp311-macosx_11_0_arm64.whl |
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| Size | 17.0 MB |
| Tags | CPython 3.11 macOS 11.0+ ARM64 |
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Transparency logRelease files / landlab-2.11.0-cp311-cp311-macosx_10_9_x86_64.whl
| Download URL | landlab-2.11.0-cp311-cp311-macosx_10_9_x86_64.whl |
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| Size | 17.1 MB |
| Tags | CPython 3.11 macOS 10.9+ x86-64 |
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twine/6.1.0 CPython/3.13.7
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