Open Source • Stable

cowcow CLI

Offline-first data capture and processing tool built with Rust. Designed for researchers, developers, and data scientists working in environments with limited connectivity.

View on GitHub Documentation

RustSQLiteWebAssemblyCLI

v1.2.4

Latest Release

~2MB

Binary Size

3 OSs

Linux, macOS, Windows

Installation

Using Cargo

# Recommended

cargo install cowcow

Using Homebrew

# macOS

brew install cowcow

Using Curl

# All platforms

curl -sSf https://get.cowcow.dev | sh

Usage Examples

# Initialize a new project

cowcow init my-project

# Capture data from stdin

echo '{"name": "John", "age": 30}' | cowcow capture --format json

# Process a CSV file

cowcow process data.csv --transform normalize --output processed.json

# Sync with remote endpoint

cowcow sync --endpoint https://api.example.com/data

Example Data Outputs

See what types of data you can capture and process with cowcow

Field Survey Data

JSON

Offline survey responses with metadata

Participant ID

Questions

Latitude

Longitude

{
  "survey_id": "field_2024_001",
  "responses": [
    {
      "participant_id": "P001",
      "location": {
        "lat": 34.05,
        "lon": -118.25
      },
      "timestamp": "2025-11-17T19:10:11.341Z",
      "answers": {
        "q1": "Agree",
        "q2": 5,
        "q3": "Agree"
      }
    }
  ],
  "sync_status": "pending",
  "captured_offline": true
}

IoT Sensor Stream

CSV

Real-time sensor data with quality scores

Sensor ID

Interval (sec)

Records

timestamp,sensor_id,temperature,humidity,quality_score
2025-11-17T19:10:11.341Z,SENS_001,22.7,45.2,0.99
2025-11-17T19:11:11.341Z,SENS_001,22.5,45.3,0.96
2025-11-17T19:12:11.341Z,SENS_001,22.3,45.2,0.99
2025-11-17T19:13:11.341Z,SENS_001,22.5,45.0,0.98

Processed Analytics

JSON

Aggregated results after transformation pipeline

Total Records

Filter Threshold

{
  "processing_pipeline": "normalize > filter > aggregate",
  "execution_time_ms": 201,
  "results": {
    "total_records": 15420,
    "filtered_records": 12336,
    "aggregations": {
      "by_region": {
        "north": 3387,
        "south": 3113,
        "east": 1865,
        "west": 3971
      },
      "avg_quality_score": "0.74"
    }
  }
}