LoL (League of Legends) game data analysis / analytics
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Updated
Jan 7, 2025 - Python
LoL (League of Legends) game data analysis / analytics
Unique host templates to enhance own privacy in games, websites and regulary software on Desktop and Android devices
Flutter League is a companion app for League of Legends players that allows them to search for summoners, view their stats and match history, and check currently ongoing games.
L4D2 statistics tracking plugin & website
Next-generation analytics & ML-powered churn prediction for Solana gaming. Self-training models predict player churn 14 days in advance. Live dashboard + REST API analyzing 60M+ on-chain transactions across 12 games.
Local-first STS2 companion — card/relic/enemy browser, live run tracker, deck analyzer, run analytics, overlay mode. No cloud, no accounts. Open source.
A tiny event logging webservice for software analytics.
Croupier is a universal GM (Game Master) backend system designed for game operations. It supports integration with multi-language game servers and provides a unified management interface along with powerful extensibility.
Business and performance KPIs drawn from game analytics using a large dataset
A command line application that analyzes chess games in PGN file format
A futuristic and lightweight data platform for upcoming ROBLOX games.
A Laravel-based web application that tracks, analyzes, and provides insights into visual novels published on itch.io. Features include game version tracking, dialogue analysis, character statistics, community ratings, and Discord integration for game updates.
DPS Meter for Blue Protocol: Star Resonance
Tools and services for Eternal Crusade: Resurrection (a multiplayer UE5 shooter)
Official C++ SDK for Teliqos game analytics. Lightweight, open source, thread-safe.
Internal_V3.7 | Advanced Fortnite Assistant
Addresses from which various server attacks and spyware originate
A simple Facebook and Game Analytics integration for Unity on Android and iOS.
A predictive model for player retention/churn on day-14 after game installation based on features such as in-game metrics, user behavior, and engagement patterns to identify players at risk of churning, accurately predicting 65% of all retention within the top 6% of total population.
📊 A comprehensive Python toolkit that leverages local Large Language Models (LLMs) via Ollama to analyze Steam game reviews.
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