pyvis
A Python network graph visualization library
Decision gist · record as of 2026-08-14
Yes, if you need interactive network visualization in Python and can tolerate dormant maintenance. The package is stable, has no known vulnerabilities, low install friction, and a permissive license. The main risk is that dormancy means bug fixes and compatibility updates are unlikely; if you need active support or cutting-edge features, consider alternatives. For exploratory work and one-off visualizations, it remains practical.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction: pure Python wheel with four runtime dependencies (networkx, jinja2, ipython, jsonpickle).
- Maintenance is dormant—last release was 2023-02-24, over a year ago, though the repository remains active with recent commits and no archived status.
License · maintenance · safety
BSD (permissive) — BSD license is permissive; you can use, modify, and distribute pyvis with minimal restrictions, though you must include a copy of the license.
last release 2023-02-24 (1267 days) · last repo commit 2024-04-24 · 1,201 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,314,585 downloads/mo, #3,145 on PyPI
Alternatives
Verify before relying
pip install pyvis
from pyvis.network import Network
g = Network()
g.add_node(0)
g.add_node(1)
g.add_edge(0, 1)
g.show("basic.html")- Whether dormant maintenance status affects stability or compatibility with modern Python versions beyond the stated >3.6 requirement.
- Whether the visjs dependency (JavaScript library) is bundled or requires separate installation.
What it is and what it does
Pyvis is a Python wrapper around the visjs JavaScript visualization library that lets you build interactive network graphs and export them as standalone HTML files. You create a Network object, add nodes and edges programmatically, and call show() to render an interactive visualization that users can pan, zoom, and drag in a web browser.
The package depends on networkx for graph data structures, jinja2 for HTML templating, ipython for notebook integration, and jsonpickle for serialization. It's designed for exploratory network analysis and interactive graph exploration rather than static batch rendering. The last release was in February 2023, and while the repository shows recent commits, the project is in dormant maintenance status.
Use it for
- Visualize social networks or collaboration graphs in Jupyter notebooks for exploratory analysis.
- Display knowledge graphs or ontologies as interactive HTML for stakeholder review.
- Render network topology diagrams for infrastructure or system architecture documentation.
- Explore citation networks or co-authorship graphs interactively.
- Create standalone HTML network visualizations to share without requiring Python or special tools.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need interactive network visualization in Python and can tolerate dormant maintenance.
The package is stable, has no known vulnerabilities, low install friction, and a permissive license. The main risk is that dormancy means bug fixes and compatibility updates are unlikely; if you need active support or cutting-edge features, consider alternatives. For exploratory work and one-off visualizations, it remains practical.
Install
pyvis on PyPI
Before you install
Low friction: pure Python wheel with four runtime dependencies (networkx, jinja2, ipython, jsonpickle). Maintenance is dormant—last release was 2023-02-24, over a year ago, though the repository remains active with recent commits and no archived status.
License in practice
BSD license is permissive; you can use, modify, and distribute pyvis with minimal restrictions, though you must include a copy of the license.
Quickstart
pip install pyvis
from pyvis.network import Network
g = Network()
g.add_node(0)
g.add_node(1)
g.add_edge(0, 1)
g.show("basic.html")
Verify before relying
- Whether dormant maintenance status affects stability or compatibility with modern Python versions beyond the stated >3.6 requirement.
- Whether the visjs dependency (JavaScript library) is bundled or requires separate installation.
Package facts
| License | BSD permissive |
| Python support | Supports the current Python release >3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesipythonjinja2jsonpicklenetworkx |
| Maintenance | Dormant 1,267 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,314,585 / month, #3,145 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: pyvis-0.3.2-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 › “visjs python wrapper”
- pyvisPyvis creates interactive network graph visualizations by wrapping…
- dbs3-pycurlProvides a Python client wrapper around pycurl for making HTTP…
- pgdbWraps PostgreSQL connections to return query results as dictionaries…
Give your agent the search over MCP, or paste the wish link into any chat.
More Graphics packages
Pillow adds image processing capabilities to Python, providing file format support, efficient pixel data handling, and image manipulation operations.
Install it if you need to work with images in Python—it is the de facto standard for this task.
fonttools manipulates font files in multiple formats (TrueType, OpenType, AFM, Type 1, Mac-specific) and includes TTX, a tool to convert fonts to and from XML text format.
Install it if you need to read, write, or manipulate fonts programmatically or via the TTX command-line tool.
Enables matplotlib figures to display inline directly within Jupyter notebooks and IPython environments instead of in separate windows.
PyMuPDF extracts, renders, converts, and manipulates PDF and other document formats (XPS, EPUB, images, Office files via Pro) with high performance, providing text, tables, images, and metadata with precise layout information.
The AGPL license requires careful review if you are building proprietary software—commercial licensing is available from Artifex.
pypdfium2 is a Python binding to PDFium that enables PDF rendering, inspection, manipulation, and creation through a ctypes interface to Google's PDFium library.
Install it if you need PDF rendering, inspection, or manipulation in Python; the medium install friction is offset by comprehensive platform support.
Altair is a declarative Python library for creating interactive statistical visualizations by writing simple, readable code that compiles to Vega-Lite specifications.
See also gravis · pygraphviz · pydotplus · highcharts-maps · networkx · highcharts-core · igraph · pydot · streamlit-agraph · python-nvd3