{"categories":[{"label":"Graphics","url":"https://skillfed.io/packages/category/multimedia-graphics"}],"enrichment":{"capability":"A Jupyter widget that embeds kepler.gl's interactive geospatial visualization into notebooks, enabling visual exploration of large-scale location data with spatial aggregations.","skillfed_tags":["geospatial-visualization","jupyter-widget","interactive-mapping"],"use_cases":["Explore GPS points or trip trajectories interactively in a notebook without exporting to a separate web application.","Perform spatial aggregations and filtering on large geolocation datasets during exploratory analysis.","Build reproducible geospatial analysis workflows in Jupyter that combine data wrangling with interactive visualization.","Prototype map-based data stories or dashboards before deploying to a standalone kepler.gl application.","Visualize geopandas GeoDataFrames with complex geometries and attributes in an interactive, zoomable map."],"what_it_does":"Keplergl is a Jupyter widget that wraps kepler.gl, a web-based geospatial visualization engine. It lets you render interactive maps directly in notebooks, handling large point clouds, trip trajectories, and spatial aggregations without leaving your analysis environment. The widget is backed by Redux state management and can be embedded into React-Redux applications for deeper customization.\n\nThe package is designed for exploratory data analysis of geolocation datasets. You supply geographic data (typically via geopandas or pandas with geospatial columns), configure the map through widget properties, and interact with it in the notebook cell. Setup requires managing a Jupyter environment with multiple geospatial dependencies (geopandas, Shapely, pyarrow, geoarrow-pyarrow, geoarrow-pandas) and a Mapbox token.","worth_installing":"Yes, if you work with large geospatial datasets in Jupyter and need interactive visualization. The high install friction (12 dependencies) and unclear license are real friction points, so verify license compatibility and test the dependency stack in your environment first. The package is actively maintained, has no known vulnerabilities, and is popular, making it a solid choice for geospatial exploration workflows."},"id":"keplergl","links":{"html":"https://skillfed.io/packages/keplergl","md":"https://skillfed.io/packages/keplergl.md","pypi":"https://pypi.org/project/keplergl/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-02-01","license_spdx":null,"license_treatment":"unclear","name":"keplergl","python_support":"unspecified","summary":"This is a simple jupyter widget for kepler.gl, an advanced geospatial visualization tool, to render large-scale interactive maps."},"popularity":{"monthly_downloads":554349,"position":6035,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.3.7"}