whiteboxgui
An interactive GUI for whitebox-tools in a Jupyter-based environment
Decision gist · record as of 2026-08-14
Yes, if you need an interactive Jupyter interface to WhiteboxTools and can tolerate maintenance risk. The package has low install friction and no known vulnerabilities. However, the abandoned status since 2023-04-05 means you should verify compatibility with your current Jupyter and dependency versions before relying on it for production work. Suitable for exploration and learning; less suitable for long-term production pipelines.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a Jupyter-based environment (JupyterLab, Jupyter Notebook, or Google Colab) to display the interactive GUI.
- Low install friction with a pure-Python wheel distribution.
- However, the package is marked abandoned with no releases for an extended period; the last commit was in 2023-04-05.
License · maintenance · safety
MIT license (permissive) — MIT license is permissive and poses no restrictions on commercial or private use, modification, or redistribution.
last release 2023-03-29 (1234 days) · last repo commit 2023-04-05 · 131 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 95,443 downloads/mo, #13,265 on PyPI
Alternatives
Verify before relying
pip install whiteboxgui
import whiteboxgui
whiteboxgui.show(tree=True)- Whether the package remains compatible with current versions of ipywidgets, ipytree, and ipyfilechooser given the absence of maintenance since 2023-04-05.
- Whether WhiteboxTools has introduced breaking changes to its API since the last whiteboxgui release.
- Current state of the whitebox Python wrapper dependency and whether it has introduced breaking changes.
What it is and what it does
Whiteboxgui wraps WhiteboxTools—a geospatial analysis platform with 518 tools—and exposes them through an interactive Jupyter notebook interface. It lets you perform GIS operations (cost-distance analysis, buffering, reclassification), remote sensing tasks (image enhancement, mosaicing, filtering, k-means classification), hydrological analysis (flow accumulation, watershed delineation, stream networks), terrain analysis (slope, curvature, hillshading), and LiDAR processing (point cloud segmentation, interpolation, classification) without writing command-line code.
The package depends on ipywidgets, ipytree, and ipyfilechooser to build the interactive UI, and on whitebox to call the underlying analysis engine. It is designed for Jupyter environments and is not a cartographic or visualization tool—it serves as an analytical backend. However, the package has been abandoned since 2023-04-05 with no maintenance activity, creating uncertainty about compatibility with current Jupyter and dependency versions.
Use it for
- Perform interactive GIS workflows (buffering, cost-distance, reclassification) in a Jupyter notebook without command-line tools.
- Conduct terrain analysis and hydrological modeling (watershed delineation, flow accumulation) through a point-and-click interface.
- Process and analyze LiDAR point clouds (segmentation, interpolation, outlier detection, ground classification) interactively.
- Apply remote sensing image processing (enhancement, mosaicing, filtering, classification) within a notebook environment.
- Explore geospatial data analysis workflows in Google Colab or JupyterLab without installing desktop GIS software.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need an interactive Jupyter interface to WhiteboxTools and can tolerate maintenance risk.
The package has low install friction and no known vulnerabilities. However, the abandoned status since 2023-04-05 means you should verify compatibility with your current Jupyter and dependency versions before relying on it for production work. Suitable for exploration and learning; less suitable for long-term production pipelines.
Install
whiteboxgui on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. However, the package is marked abandoned with no releases for an extended period; the last commit was in 2023-04-05. Maintenance status poses a risk for compatibility issues with newer Jupyter or dependency versions.
Requires a Jupyter-based environment (JupyterLab, Jupyter Notebook, or Google Colab) to display the interactive GUI.
License in practice
MIT license is permissive and poses no restrictions on commercial or private use, modification, or redistribution.
Quickstart
pip install whiteboxgui
import whiteboxgui
whiteboxgui.show(tree=True)Verify before relying
- Whether the package remains compatible with current versions of ipywidgets, ipytree, and ipyfilechooser given the absence of maintenance since 2023-04-05.
- Whether WhiteboxTools has introduced breaking changes to its API since the last whiteboxgui release.
- Current state of the whitebox Python wrapper dependency and whether it has introduced breaking changes.
Package facts
| License | MIT license permissive |
| Python support | Supports the current Python release >=3.5 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesipyfilechooseripywidgetsipytreewhitebox |
| Maintenance | Abandoned 1,234 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 95,443 / month, #13,265 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 2 - Pre-AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: whiteboxgui-2.3.0-py2.py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “jupyter gui for geospatial analysis”
- whiteboxguiProvides an interactive graphical interface for WhiteboxTools…
- leafmapLeafmap enables interactive geospatial mapping and analysis in…
- geemapGeemap provides interactive geospatial analysis and visualization of…
Give your agent the search over MCP, or paste the wish link into any chat.
More Scientific/Engineering packages
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
pandas provides fast, flexible data structures (Series and DataFrame) for loading, cleaning, transforming, and analyzing labeled or relational data in Python.
scipy provides numerical algorithms for mathematics, science, and engineering—including optimization, integration, linear algebra, Fourier transforms, signal and image processing, and ODE solvers—built on numpy arrays.
scikit-learn provides a comprehensive Python library for supervised and unsupervised machine learning, including classification, regression, clustering, dimensionality reduction, and model evaluation tools built on NumPy and SciPy.
Install it if you need to train, evaluate, or deploy supervised or unsupervised learning models.
dill extends Python's pickle module to serialize and deserialize a much wider range of Python objects, including functions, lambdas, classes, and interpreter sessions, to byte streams for storage or network transmission.
Multiprocess is an enhanced fork of Python's standard multiprocessing library that uses dill for better serialization, allowing you to spawn processes with a threading-like API and share complex objects between them.
Install it if you use multiprocessing and encounter pickle serialization limits with lambdas or complex objects.
See also leafmap · whitebox · geemap · jupyter-leaflet · ipyleaflet · pydeck · geopandas · bqscales · highcharts-maps · arcgis