AwesomeBetfair

A curated list of awesome tools, frameworks and libraries in the Betfair space.

If you have a project you feel would benefit the community please submit a pull request.

Betfair API libraries & sample code

Java

• API-NG code samples: basic sample code for interacting with the polling APIs
• Stream API sample code: sample code in a variety of languages including C#, Java and NodeJ

C#

• API-NG code samples: basic sample code for interacting with the polling APIs
• Stream API sample code: sample code in a variety of languages including C#, Java and NodeJS

Python

• BetfairLightweight: Lightweight python wrapper for API-NG, includes Stream API integration
• Flumine: Betfair trading framework developed by the dev behind Betfairlightweight
• API-NG code samples: basic sample code for interacting with the polling APIs
• Tutorial: a basic walkthrough for connecting to the polling API in Python

R

• abettor: a wrapper for the Betfair polling APIs
• Tutorial: a basic walkthrough for connecting to the polling API in R

GoLang

• bfapi: an extensive wrapper of the Betfair APIs including Stream API integration
• betting: a simple library for interacting with the polling APIs

JavaScript

• API-NG code samples: basic sample code for interacting with the polling APIs
• Stream API sample code: sample code in a variety of languages including C#, Java and NodeJ

PHP

• API-NG code samples: basic sample code for interacting with the polling APIs

Curl

• API-NG code samples: basic sample code for interacting with the polling APIs

Delphi

• API-NG Delphi client: client library interacting with the polling APIs

VBA

• API-NG code samples: basic sample code for interacting with the polling APIs

Historic Betfair Data

JSON Stream data

• betfairLightweight: includes Python library for working with historic data files
• Betfair History Stream Extractor: basic Python script to scan bz2 file and extract the price at a particular time
• Tutorial: JSON to CSV: using betfairlightweight to parse the JSON files and convert them to a CSV summary format
• Tutorial: Backtesting ratings: using betfairligthweight to backtest a set of Hub ratings against BSP and other market prices
• betfairviz: Python library for visualising Betfair order books within Jupyter notebooks

Modelling

Tutorials

Racing

• Greyhound form FastTrack API: how to pull, match, model and automate using greyhound form data from the FastTrack API and betfairlightweight

AFL

• Brownlow Datathon guide: tutorial for building a model for Betfair's 2019 Brownlow Datathon
• AFL modelling walkthrough: simple walkthroughs for modelling AFL in Excel and Python

Soccer

• Elo in R: basic Elo approach to modelling soccer in R
• ML in Python: basic ML approach to modelling soccer in Python
• ML in R: basic ML approach to modelling soccer in R
• EPL ML in Python: basic ML approach to modelling the EPL in Python

Tennis

• AO Datathon in R & Python: tutorial for building a model for Betfair's 2019 Aus Open Datathon
• Aus Open in R: using R to model the Australian Open
• Aus Open in Python: using Python to model the Australian Open

Other sports

• NBA Datathon guide: tutorial for building a model for Betfair's 2020 NBA Datathon
• Betfair Hub models: open source predictive models in Python and R