Awpy for Python
from awpy import Demo
demo = Demo("match.dem")
demo.load("kills", "damages", "shots")
print(demo.header["map_name"])
print(demo.stats.select("name", "kills", "deaths", "assists", "adr", "kast"))
print(demo.snapshots(seconds=1.0))
Awpy parses Counter-Strike 2 (CS2) Source 2 demos with a Rust core. The Python API uses PyO3 and returns typed Polars DataFrames. Use Polars for filters, joins, and Apache Parquet output. Use matplotlib for plots.
Install Awpy for Python
uv add awpy
# Or: pip install awpy
Use Python 3.11 or later and Polars 2.x. Wheels support Python 3.11–3.15 on Linux, macOS, and Windows. A wheel installation does not need a Rust compiler.
Read CS2 events and player state with Awpy
Dataset properties cache their results. Use demo.load(...) to combine compatible
requests. demo.events.names lists recorded game events. Use demo.events[name]
for their raw fields, or demo.kills and demo.damages for resolved players.
from awpy import Demo
demo = Demo("match.dem")
print(demo.events.names)
print(demo.events["player_death"])
print(demo.players)
print(demo.ticks(["health", "name"]))
Pass multipart recordings in order: Demo(["match-p1.dem", "match-p2.dem"]).
Multipart tables retain local ticks and add a zero-based part column.
Use part= for explicit tick queries. See the
multipart guide.
Check CS2 visibility and navigation with Awpy
from awpy import NavMesh, VisibilityChecker
nav = NavMesh("de_inferno")
checker = VisibilityChecker("de_inferno")
start = (-158.6, 819.1, 103.7)
end = (1258.0, 455.5, 181.2)
print(nav.find_path(start, end))
print(checker.is_visible(start, end))
Map names use the newest cached awpy-data release. Missing assets download on
first access. Set version= to select a release, or pass a local .nav or
.mesh path. Coordinates use Hammer units, with Z vertical.
Plot CS2 replay data with matplotlib
Install uv add 'awpy[plot]' or pip install 'awpy[plot]'.
from awpy import Demo, plot
demo = Demo("match.dem")
deaths = demo.kills.select("victim_x", "victim_y", "victim_z").rows()
fig, ax = plot.heatmap(demo.header["map_name"], deaths, method="kde")
fig.savefig("deaths.png")
Use the Awpy command line
awpy info match.dem
awpy stats match.dem --json
awpy get
See the documentation for dataset columns, map control, plots, and CLI commands. The llms.txt index links to the main guides and API reference.
1 maintainer
Metadata
1 maintainer
Release files for awpy 3.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| awpy-3.1.2.tar.gz | 1.7 MB | With provenance | Details for awpy-3.1.2.tar.gz |
Built distributions (wheels)
Total release size: 182.3 MB
Release files / awpy-3.1.2.tar.gz
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| Tags | Source |
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