iplotx
Visualise networks and trees in Python, with style.
Supports:
- networks:
- trees:
In addition to the above, any network or tree analysis library can register an entry point to gain compatibility with iplotx with no intervention from our side.
Installation
pip install iplotx
Quick Start
import networkx as nx
import matplotlib.pyplot as plt
import iplotx as ipx
g = nx.Graph([(0, 1), (1, 2), (2, 3), (3, 4), (4, 0)])
layout = nx.layout.circular_layout(g)
ipx.plot(g, layout)
Documentation
See documentation and gallery.
Citation
If you use iplotx for publication figures, please cite:
F. Zanini. A universal tool for visualisation of networks and trees in Python. F1000Research 2025, 14:1377. https://doi.org/10.12688/f1000research.173131.1
Features
- Plot networks from multiple libraries including networkx, igraph and graph-tool, using Matplotlib. ✅
- Plot trees from multiple libraries such as cogent3, ETE4, phyloframe, skbio, biopython, and dendropy. ✅
- Flexible yet easy styling, including an internal library of styles ✅
- Interactive plotting, e.g. zooming and panning after the plot is created. ✅
- Store the plot to disk in many formats (SVG, PNG, PDF, GIF, etc.). ✅
- 3D network visualisation with depth shading. ✅
- Efficient plotting of large graphs (up to ~1 million nodes on a laptop). ✅
- Edit plotting elements after the plot is created, e.g. changing node colors, labels, etc. ✅
- Animations, e.g. showing the evolution of a network over time. ✅
- Mouse and keyboard interaction, e.g. hovering over nodes/edges to get information about them. ✅
- Node clustering and covers, e.g. showing communities in a network. ✅
- Edge tension, edge waypoints, and edge ports. ✅
- Choice of tree layouts and orientations. ✅
- Tree-specific options: cascades, subtree styling, split edges, etc. ✅
- (WIP) Support uni- and bi-directional communication between graph object and plot object.🏗️
Authors
Fabio Zanini (https://fabilab.org)
1 maintainer
Metadata
1 maintainer
Release files for iplotx 1.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| iplotx-1.8.0.tar.gz | 2.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| iplotx-1.8.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.1 MB
Release files / iplotx-1.8.0.tar.gz
| Download URL | iplotx-1.8.0.tar.gz |
|---|---|
| Size | 2.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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Transparency logRelease files / iplotx-1.8.0-py3-none-any.whl
| Download URL | iplotx-1.8.0-py3-none-any.whl |
|---|---|
| Size | 100.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
15ed97fb775bc5b19749af11a74a0392caaf3aaa033acef7624cc3ba31c75283
|
|
BLAKE2b-256 checksum How to use checksums |
4980986fd986798feb76abd80cf9fe4b8efb923bf8d0327c7e44d40db0681a55
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 4, 2026.
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