{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/7"}],"enrichment":{"capability":"Adds interactive HTML representations to Earth Engine objects when displayed in Jupyter notebooks, replacing plain text output with Code Editor-style visualizations.","skillfed_tags":["earth-engine","jupyter-notebook","geospatial"],"use_cases":["Exploratory analysis of Earth Engine datasets in Jupyter notebooks where readable object inspection improves workflow clarity.","Teaching Earth Engine concepts where interactive HTML reprs make data structures more intuitive than text output.","Debugging Earth Engine queries by visually inspecting intermediate FeatureCollections, Images, and other objects during development.","Collaborative notebooks where stakeholders benefit from formatted, interactive object displays rather than raw string representations."],"what_it_does":"eerepr is a display enhancement for Earth Engine objects in Jupyter notebooks. It hooks into Python's repr system to replace the default string representation of Earth Engine objects with interactive HTML visualizations styled like the Earth Engine Code Editor. When you print or display an Earth Engine object in a Jupyter cell, instead of seeing a long text dump, you get a formatted, interactive view.\n\nThe package is designed as a thin integration layer that activates with a single call to eerepr.initialize(). It depends only on earthengine-api and works in standard Jupyter environments. Configuration options let you control memory usage (max_repr_mbs), caching behavior (max_cache_size), and error handling. It's pre-installed in Google Colab and automatically initialized by geemap versions 0.35.2 and later.","worth_installing":"Yes, if you work with Earth Engine in Jupyter notebooks. The install is frictionless, the license is permissive, there are no known vulnerabilities, and the package solves a genuine usability problem\u2014replacing hard-to-read text reprs with interactive visualizations. The aging maintenance status is not a concern given that the package is stable, pre-installed in Colab, and requires minimal updates. Install it to improve notebook readability."},"id":"eerepr","links":{"html":"https://skillfed.io/packages/eerepr","md":"https://skillfed.io/packages/eerepr.md","pypi":"https://pypi.org/project/eerepr/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-05-02","license_spdx":null,"license_treatment":"permissive","name":"eerepr","python_support":"supports_current","summary":"Code Editor-style reprs for Earth Engine data in a Jupyter notebook."},"popularity":{"monthly_downloads":141610,"position":11238,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.2"}