{
"name": "polars-cli",
"description": "Data analysis CLI using Polars (similar to pandas in Python)",
"type": "binary",
"files": [
{
"source": "src/main.rs.template",
"target": "src/main.rs"
},
{
"source": "Cargo.toml.template",
"target": "Cargo.toml"
},
{
"source": "README.md",
"target": "README.md"
},
{
"source": "data/example_data_json.json",
"target": "data/example_data.json"
}
],
"prompts": [
{
"name": "data_source",
"question": "What type of data will you be working with?",
"options": [
"CSV files",
"Parquet files",
"JSON data"
],
"default": "CSV files"
},
{
"name": "analysis_type",
"question": "What type of analysis do you plan to perform?",
"options": [
"Exploratory data analysis",
"Statistical analysis",
"Time series analysis",
"Text analysis",
"Machine learning preprocessing"
],
"default": "Exploratory data analysis"
},
{
"name": "visualization",
"question": "Do you need data visualization capabilities?",
"options": [
"yes",
"no"
],
"default": "yes"
}
],
"variables": {
"data_format": "json"
},
"next_steps": [
"📊 Try the example analysis: cd {{project_name}} && cargo run -- analyze -f data/example_data.json",
"📈 Run statistical analysis: cargo run -- analyze -f data/example_data.json -s",
"🔍 Group data by department: cargo run -- analyze -f data/example_data.json -g department -a salary -u mean",
"🧮 Generate sample data: cargo run -- generate -r 100 -o data/my_data.json",
"📚 See all available commands: cargo run -- help"
]
}