This is the official .slp file parsing library. It parses a .slp file into structured data and can be used to compute stats. There are already many built-in stats that are computed by the library but the data provided can also be used to compute your own stats.

• node – https://nodejs.org/en/download/

npm install slp-parser-js

1. Create a fresh directory on your disk
2. Inside this new directory, create a file called script.js
3. Fill the script.js file with the following contents:

const { default: SlippiGame } = require('slp-parser-js');

const game = new SlippiGame("test.slp");

// Get game settings – stage, characters, etc
const settings = game.getSettings();
console.log(settings);

// Get metadata - start time, platform played on, etc
const metadata = game.getMetadata();
console.log(metadata);

// Get computed stats - openings / kill, conversions, etc
const stats = game.getStats();
console.log(stats);

// Get frames – animation state, inputs, etc
// This is used to compute your own stats or get more frame-specific info (advanced)
const frames = game.getFrames();
console.log(frames[0].players); // Print frame when timer starts counting down

4. Copy a .slp file into the directory and call it test.slp
5. Browse to the directory from the command line and run the command: npm install slp-parser-js. This should create a node_modules directory in the folder.
6. Run the command: node script.js. This will run the script above and will print data about the test.slp file

When using Slippi to mirror gameplay, it can be useful to extract game data about the live game. There are a few different methods of doing this but slp-parser-js can also be used to read live files. It is written in such a way where as long as the same SlippiGame class is used, it will only read from disk the data it has not yet read.

An example script for how to do this is provided as part of this repo here: https://github.com/project-slippi/slp-parser-js/blob/master/scripts/realtimeFileReads.js

To use the above script, do the following:

1. Open a terminal prompt in the folder containing the script file and the package.json file
2. Run yarn to fetch the dependencies
3. Run node realtimeFileReads.js "C:\mirror\output\path" replacing the path argument with where your connected console outputs replay files to

At this point, you should see an output as you play games on the connected console.

While it is possible to load the stats in a real-time fashion, the stat calculation logic has not yet been optimized to work only on the latest data. Because of this, the longer the game goes, the longer stat calculation will take. As long as you don't call game.getStats() you do not have to worry about this.

git clone https://github.com/project-slippi/slp-parser-js
cd slp-parser-js
yarn install

yarn run build

You can also run yarn run watch to continuously build whenever changes are detected.

yarn run test