{"categories":[{"label":"Graphics","url":"https://skillfed.io/packages/category/multimedia-graphics"}],"enrichment":{"capability":"Renders interactive network graphs in Streamlit apps using vis.js, with support for nodes, edges, physics simulation, and hierarchical layouts.","skillfed_tags":["graph-visualization","streamlit-component","network-diagram"],"use_cases":["Visualize knowledge graphs or RDF data as interactive network diagrams in Streamlit dashboards.","Display relationship networks (social graphs, dependency trees, entity connections) with physics-based layout.","Build interactive graph exploration tools where users can see node connections and adjust layout parameters via sidebar controls.","Prototype network analysis workflows combining Streamlit UI with networkx graph algorithms."],"what_it_does":"streamlit-agraph wraps vis.js graph visualization into a Streamlit component, letting you render interactive network diagrams directly in Streamlit apps. You define nodes and edges as Python objects, configure layout and physics behavior, and call agraph() to display the result. It supports directed and undirected graphs, hierarchical grouping by node attributes, and physics-based force simulation.\n\nThe package includes a ConfigBuilder for interactive sidebar tuning of graph appearance and behavior, and optional integration with networkx and rdflib for graph algorithms and RDF triple parsing. However, the TripleStore and GraphAlgos modules are documented as untested and incomplete, so those features should be treated as experimental.","worth_installing":"Yes, if you need interactive graph visualization in Streamlit and can tolerate an aging codebase. Install friction is low and the core feature set is stable. However, verify the license before production use, avoid the untested TripleStore and GraphAlgos features, and check compatibility with your Streamlit and networkx versions\u2014no recent updates means potential drift from current dependencies."},"id":"streamlit-agraph","links":{"html":"https://skillfed.io/packages/streamlit-agraph","md":"https://skillfed.io/packages/streamlit-agraph.md","pypi":"https://pypi.org/project/streamlit-agraph/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2023-01-28","license_spdx":null,"license_treatment":"unclear","name":"streamlit-agraph","python_support":"supports_current","summary":"Interactive Graph Vis for Streamlit."},"popularity":{"monthly_downloads":343290,"position":7383,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.45"}