{
  "id": "scientific/polars",
  "version": "1.0.0",
  "name": "polars",
  "description": "Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.",
  "domain": "scientific",
  "source": "external",
  "tools": [],
  "exitStates": [
    "success",
    "failure"
  ],
  "inputSchema": {},
  "outputSchema": {},
  "temperature": 0,
  "tags": [
    "scientific",
    "imported",
    "community"
  ],
  "platforms": {
    "claude": {
      "license": "https://github.com/pola-rs/polars/blob/main/LICENSE",
      "triggers": [
        "help with polars",
        "data analysis",
        "pandas is too slow but data still fits in memory"
      ]
    },
    "cursor": {},
    "skeneflow": {}
  }
}
