Circlecore (documentation)
Circlecore is a utilities library for osu!. Features include:
- Unstable Rate calculation
- Judgments calculation (classifying all hitobjects into misses, hit300s, hit100s, hit50s, or sliderbreaks)
- Similarity calculation between two replays, for replay stealing detection
- Frametime calculation, for timewarp detection
- Jerky, suspicious movement detection (called Snaps)
Circlecore is used by Circleguard, a replay analysis tool.
Circlecore is developed and maintained by:
Installation
Circlecore can be installed from pip:
pip install circleguard
This documentation refers to the project as circlecore to differentiate it from our organization Circleguard and the replay analysis tool Circleguard. However, circlecore is installed from pypi with the name circleguard, and is imported as such in code (import circleguard).
Links
Github: https://github.com/circleguard/circlecore
Documentation: https://circleguard.github.io/circlecore/
Discord: https://discord.gg/VNnkTjm
Usage
We have a full tutorial and documentation at https://circleguard.github.io/circlecore/. If you really want to jump right in, below is a quickstart guide:
from circleguard import *
# replace "key" with your api key
cg = Circleguard("key")
# replay on http://osu.ppy.sh/b/221777 by http://osu.ppy.sh/u/2757689
replay = ReplayMap(221777, 2757689)
print(cg.ur(replay)) # unstable rate
print(cg.frametime(replay)) # average frametime
print(cg.frametimes(replay)) # full frametime list
print(cg.hits(replay)) # where the replay hits hitobjects
print(cg.snaps(replay)) # any jerky/suspicious movement
replay2 = ReplayMap(221777, 4196808)
print(cg.similarity(replay, replay2)) # how similar the replays are
# ReplayMap isn't the only way to represent replays; we can also
# get a beatmap's top 3 plays
map_ = cg.Map(221777, span="1-3")
# or a User's fifteenth and twentieth best plays
user = cg.User(124493, span="15, 20")
# or a local replay
replay3 = ReplayPath("/path/to/local/osr/replay.osr")
# and more. You can find them all at
# https://circleguard.github.io/circlecore/appendix.html#circleguard.loadables.Loadable
# maps and users can be iterated over
for r in map_:
print(cg.ur(r))
Contributing
Join our discord and ask how you can help, or look around for open issues which interest you and tackle those. Pull requests are welcome!
Metadata
Release files for circleguard 5.4.3
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 |
|---|---|---|---|---|
| circleguard-5.4.3.tar.gz | 66.0 kB | Without provenance | Details for circleguard-5.4.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| circleguard-5.4.3-py3-none-any.whl | Python 3 | none | any | Details for circleguard-5.4.3-py3-none-any.whl |
Total release size: 139.0 kB
Release files / circleguard-5.4.3.tar.gz
| Download URL | circleguard-5.4.3.tar.gz |
|---|---|
| Size | 66.0 kB |
| Tags | Source |
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twine/5.0.0 CPython/3.12.3
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Release files / circleguard-5.4.3-py3-none-any.whl
| Download URL | circleguard-5.4.3-py3-none-any.whl |
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| Size | 73.0 kB |
| Tags | Python 3 |
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No |
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twine/5.0.0 CPython/3.12.3
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