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Betting Python Packages

Python packages with the GitHub topic betting. Sorted by monthly downloads, with stars and forks.
martineastwood
penaltyblog

⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀

66K 232 33
betcode-org
flumine

flūmine - Betting trading framework

27K 249 67
mberk
shin

Python implementation of Shin's method for calculating implied probabilities from bookmaker odds

14K 105 13
betwatch
betwatch

A Python package for interacting with the Betwatch API

6K 4 4
hmasdev
pyjpboatrace

pyjpboatrace :speedboat: provides you with useful tools for data analysis and auto-betting for boatrace.

3K 19 11
gotoConversion
goto-conversion

goto_conversion - Powered $47,000 of prize money, 10+ Gold Medals and 100+ Medals on Kaggle

2K 116 18
sigma-quantiphi
polymarket-pandas

Python SDK for Polymarket — every endpoint returns a pandas DataFrame. Sync + async HTTP, WebSockets, pandera schemas, order building & signing, on-chain CTF operations.

1K 6 1
SportApi-net
odds-tools

Dependency-free betting-odds math for Python and TypeScript: odds conversion, margin and no-vig fair odds (incl. Shin), parlays, system bets, Kelly, EV and arbitrage.

602 0 0
S1M0N38
soccerapi

soccerapi, an unambitious soccer odds scraper ⚽️

446 181 36
Simatwa
smartbetsapi

Soccer prediction package fitted with REST API

424 20 11
qwqmeow
betsapi

python SDK of betsapi

128 12 7
byronxlg
polymarket-tui

Fast, keyboard-driven terminal client for Polymarket: live order books, charts, portfolio, and order placement

114 5 0
S1M0N38
aao

A simple environment where testing betting strategy on real odds

113 22 3
HintikkaKimmo
surebet

Surebet is Python library for easily calculate betting odds, arbritrage betting opportunities and calculate value bet sizes

85 88 16
sashml
betalytics

DataScience Framework For Betting Analytics

72 11 3
apapadimitriou
bfscraper

Scrapes Betfair price data (BSP, WAP etc) for Australian horse racing

50 13 5
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology