spielviz
Python visualization library for OpenSpiel game trees, information sets, and strategy profiles.
Installation
pip install spielviz
Quick Start
import spielviz
# One-liner: render any OpenSpiel game
spielviz.quick_render("kuhn_poker", path="kuhn.png")
Or with more control:
import pyspiel
import spielviz
game = pyspiel.load_game("kuhn_poker")
root = spielviz.build_tree(game)
root = spielviz.layout_tree(root)
# Highlight information sets
colors = spielviz.auto_color_info_sets(root, player=0)
fig, ax = spielviz.render_tree(
root,
highlight_info_sets=colors,
show_actions=True,
show_payoffs=True,
title="Kuhn Poker",
)
fig.savefig("kuhn_poker.png", dpi=150, bbox_inches="tight")
Features
Game Tree Rendering
Render any OpenSpiel game as a publication-quality tree diagram:
- Player-colored nodes (colorblind-friendly palette)
- Action labels on edges
- Terminal payoffs displayed
- Chance node probabilities
Information Set Visualization
Highlight which nodes a player cannot distinguish:
colors = spielviz.auto_color_info_sets(root, player=0)
fig, ax = spielviz.render_tree(root, highlight_info_sets=colors)
# Or draw dashed connection lines (standard game theory notation)
spielviz.draw_info_set_connections(ax, root, player=0)
Strategy Profile Visualization
Visualize policies from CFR, fictitious play, or any OpenSpiel algorithm:
from open_spiel.python.algorithms import cfr
solver = cfr.CFRSolver(game)
for _ in range(1000):
solver.evaluate_and_update_policy()
policy = solver.average_policy()
# Bar chart of action probabilities at each info set
fig, ax = spielviz.plot_strategy_profile(game, policy, player=0)
# Strategy overlaid directly on the game tree
fig, ax = spielviz.plot_strategy_on_tree(root, game, policy, player=0)
Large Game Support
Use max_depth for games with large state spaces:
spielviz.quick_render("tic_tac_toe", max_depth=3, path="ttt.png")
API Reference
| Function | Description |
|---|---|
build_tree(game, max_depth=None) |
Build a TreeNode hierarchy from an OpenSpiel game |
layout_tree(root, algorithm="simple") |
Compute (x, y) positions for all nodes |
collect_info_sets(root) |
Group nodes by information state string |
render_tree(root, **kwargs) |
Render game tree as matplotlib figure |
save_tree(root, path, **kwargs) |
Render and save to file (PNG, SVG, PDF) |
auto_color_info_sets(root, player) |
Assign distinct colors to info sets |
draw_info_set_connections(ax, root, player) |
Draw dashed lines between info set nodes |
plot_strategy_profile(game, policy, player=0) |
Bar chart of strategy at each info set |
plot_strategy_on_tree(root, game, policy, player=0) |
Mini bar charts overlaid on tree |
quick_render(game_name, **kwargs) |
One-liner convenience function |
Tested Games
kuhn_poker— 2-player Kuhn Pokerleduc_poker— 2-player Leduc Poker (depth-limited)tic_tac_toe— Tic-Tac-Toe (depth-limited)
Contributing
Contributions welcome! Please open an issue or PR.
git clone https://github.com/kvr06-ai/spielviz.git
cd spielviz
pip install -e ".[dev]"
pytest tests/
ruff check src/
License
MIT
Release files for spielviz 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| spielviz-0.1.1.tar.gz | 860.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| spielviz-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 873.0 kB
Release files / spielviz-0.1.1.tar.gz
| Download URL | spielviz-0.1.1.tar.gz |
|---|---|
| Size | 860.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7aa4aa94a2ea1c3fcf88f6706657a3917861a68518c609f4228edefb6b28ff27
|
|
BLAKE2b-256 checksum How to use checksums |
4f0d324f6a762e3f85f94c5b3f71a419a083ab5e66edb60a3c5a1650efd4c698
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Mar 19, 2026.
Transparency logRelease files / spielviz-0.1.1-py3-none-any.whl
| Download URL | spielviz-0.1.1-py3-none-any.whl |
|---|---|
| Size | 12.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8f63424bc6dad2d0501ea206d903dc083adcef1cc78ce9492b5080abc4a5b03b
|
|
BLAKE2b-256 checksum How to use checksums |
5416645a60d7d290b8fe3274736706168fc478a572109c5a8906dbfe07030ff5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Mar 19, 2026.
Transparency log