streamlit-agraph
Interactive Graph Vis for Streamlit.
Decision gist · record as of 2026-08-14
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—no recent updates means potential drift from current dependencies.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.6.
- TripleStore and GraphAlgos features are marked as untested and incomplete in the documentation.
- Low friction install with three runtime dependencies (streamlit, networkx, rdflib).
License · maintenance · safety
(unclear) — License status is unclear; no SPDX identifier or raw license text is available in the metadata. Verify the actual license before use in proprietary or restricted contexts.
last release 2023-01-28 (1294 days) · last repo commit 2026-01-25 · 482 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 343,290 downloads/mo, #7,383 on PyPI
Alternatives
Verify before relying
pip install streamlit-agraph
from streamlit_agraph import agraph, Node, Edge, Config
nodes = [Node(id="A", label="Node A")]
edges = [Edge(source="A", target="B")]
config = Config(width=750, height=950, directed=True, physics=True)
agraph(nodes=nodes, edges=edges, config=config)- Whether TripleStore and GraphAlgos features are production-ready or still experimental.
- Current compatibility with latest Streamlit and networkx versions.
- Whether the package is actively maintained or in maintenance-only mode.
What it is and 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.
The 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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—no recent updates means potential drift from current dependencies.
Install
streamlit-agraph on PyPI
Before you install
Low friction install with three runtime dependencies (streamlit, networkx, rdflib). Package is aging—last release was 2023-01-28, over two years old, though the repository remains active and unarchived.
Requires Python >=3.6. TripleStore and GraphAlgos features are marked as untested and incomplete in the documentation.
License in practice
License status is unclear; no SPDX identifier or raw license text is available in the metadata. Verify the actual license before use in proprietary or restricted contexts.
Quickstart
pip install streamlit-agraph
from streamlit_agraph import agraph, Node, Edge, Config
nodes = [Node(id="A", label="Node A")]
edges = [Edge(source="A", target="B")]
config = Config(width=750, height=950, directed=True, physics=True)
agraph(nodes=nodes, edges=edges, config=config)Verify before relying
- Whether TripleStore and GraphAlgos features are production-ready or still experimental.
- Current compatibility with latest Streamlit and networkx versions.
- Whether the package is actively maintained or in maintenance-only mode.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesstreamlitnetworkxrdflib |
| Maintenance | Aging 1,294 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 343,290 / month, #7,383 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: streamlit_agraph-0.0.45-py3-none-any.whl
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