kubraberberoglu988540743/gacha-game-simul-2

This is a command-line simulation tool for game developers who build gacha games. In gacha games, players spend currency to receive randomized items, and the probability of getting each item rarity tier directly affects how players feel about the game. This simulator lets developers run millions of hypothetical pull sequences offline to see how drop rates and rarity configurations perform before putting anything in front of real players. The tool is built with Node.js. You install dependencies with npm, point it at a config.json file that specifies the number of simulations, drop rates, rarity tiers, and output format, then run it from the command line. Results are written to an output folder as a JSON file that shows the metrics from the simulated runs. The internal structure separates random number generation, drop rate calculations, metrics aggregation, and output formatting into distinct modules. There is a unit test suite for the core simulation logic, and the README notes that the tool can handle millions of simulation runs depending on available hardware. All data stays local with no external service calls. The project is aimed at use cases like validating new drop configurations before a game update, comparing different rarity setups side by side, or explaining gacha probability behavior to a team. The README is concise and does not go into detail about the statistical methods used. The project is released under the MIT license.