tap-openmeteo

tap-openmeteo is a Singer tap for the Open-Meteo weather API.

Built with the Meltano Tap SDK for Singer Taps.

Features

• Multiple Locations: Fetch weather data for any number of locations worldwide
• Comprehensive Weather Data: Hourly, daily, 15-minutely, current conditions, and historical data
• Incremental Syncs: Efficient syncing with support for incremental updates
• Flexible Configuration: Extensive configuration options for weather variables, units, and models
• API Key Support: Optional API key for commercial usage
• Multiple Weather Models: Select specific weather models or use best-match automatic selection

Available Streams

Installation

Install from source:

pip install git+https://github.com/YOUR_ORG/tap-openmeteo.git

Or with uv:

uv tool install git+https://github.com/YOUR_ORG/tap-openmeteo.git

Configuration

Required Settings

Optional Settings

Default Hourly Variables

[
  "temperature_2m",
  "relative_humidity_2m",
  "precipitation",
  "weather_code",
  "wind_speed_10m",
  "wind_direction_10m"
]

Default Daily Variables

[
  "weather_code",
  "temperature_2m_max",
  "temperature_2m_min",
  "precipitation_sum",
  "sunrise",
  "sunset"
]

Default Streams

[
  "weather_forecast",
  "weather_hourly",
  "weather_daily"
]

Available Hourly Variables

• temperature_2m, temperature_80m, temperature_120m, temperature_180m
• relative_humidity_2m, dew_point_2m, apparent_temperature
• precipitation, precipitation_probability, rain, showers, snowfall, snow_depth
• weather_code, cloud_cover, cloud_cover_low, cloud_cover_mid, cloud_cover_high
• pressure_msl, surface_pressure, visibility
• wind_speed_10m, wind_speed_80m, wind_speed_120m, wind_speed_180m
• wind_direction_10m, wind_direction_80m, wind_direction_120m, wind_direction_180m
• wind_gusts_10m
• soil_temperature_0cm, soil_temperature_6cm, soil_temperature_18cm, soil_temperature_54cm
• soil_moisture_0_to_1cm, soil_moisture_1_to_3cm, soil_moisture_3_to_9cm, soil_moisture_9_to_27cm, soil_moisture_27_to_81cm
• uv_index, uv_index_clear_sky, is_day, sunshine_duration
• shortwave_radiation, direct_radiation, diffuse_radiation, direct_normal_irradiance
• global_tilted_irradiance, terrestrial_radiation
• evapotranspiration, et0_fao_evapotranspiration, vapour_pressure_deficit
• cape, freezing_level_height

Available Daily Variables

• weather_code
• temperature_2m_max, temperature_2m_min, temperature_2m_mean
• apparent_temperature_max, apparent_temperature_min, apparent_temperature_mean
• sunrise, sunset, daylight_duration, sunshine_duration
• uv_index_max, uv_index_clear_sky_max
• precipitation_sum, rain_sum, showers_sum, snowfall_sum
• precipitation_hours, precipitation_probability_max
• wind_speed_10m_max, wind_gusts_10m_max, wind_direction_10m_dominant
• shortwave_radiation_sum, et0_fao_evapotranspiration

Example Configuration

Basic Configuration

{
  "locations": [
    {
      "name": "Berlin",
      "latitude": 52.52,
      "longitude": 13.41
    }
  ]
}

Full Configuration

{
  "api_key": "your-commercial-api-key",
  "api_url": "https://customer-api.open-meteo.com",
  "locations": [
    {
      "name": "Berlin",
      "latitude": 52.52,
      "longitude": 13.41,
      "elevation": 34,
      "timezone": "Europe/Berlin"
    },
    {
      "name": "New York",
      "latitude": 40.71,
      "longitude": -74.01,
      "timezone": "America/New_York"
    }
  ],
  "forecast_days": 14,
  "past_days": 2,
  "hourly_variables": [
    "temperature_2m",
    "relative_humidity_2m",
    "apparent_temperature",
    "precipitation",
    "rain",
    "snowfall",
    "weather_code",
    "cloud_cover",
    "wind_speed_10m",
    "wind_direction_10m",
    "wind_gusts_10m",
    "uv_index"
  ],
  "daily_variables": [
    "weather_code",
    "temperature_2m_max",
    "temperature_2m_min",
    "apparent_temperature_max",
    "apparent_temperature_min",
    "sunrise",
    "sunset",
    "precipitation_sum",
    "rain_sum",
    "snowfall_sum",
    "wind_speed_10m_max",
    "wind_gusts_10m_max"
  ],
  "current_variables": [
    "temperature_2m",
    "relative_humidity_2m",
    "apparent_temperature",
    "is_day",
    "precipitation",
    "weather_code",
    "cloud_cover",
    "wind_speed_10m",
    "wind_direction_10m"
  ],
  "temperature_unit": "celsius",
  "wind_speed_unit": "kmh",
  "precipitation_unit": "mm",
  "timezone": "auto",
  "streams_to_sync": [
    "weather_forecast",
    "weather_hourly",
    "weather_daily",
    "weather_current"
  ]
}

Historical Data Configuration

{
  "locations": [
    {
      "name": "Berlin",
      "latitude": 52.52,
      "longitude": 13.41
    }
  ],
  "start_date": "2024-01-01",
  "end_date": "2024-01-31",
  "hourly_variables": [
    "temperature_2m",
    "precipitation",
    "weather_code"
  ],
  "streams_to_sync": ["weather_historical"]
}

Usage

Direct Execution

# Show version
tap-openmeteo --version

# Show help
tap-openmeteo --help

# Discover streams
tap-openmeteo --config config.json --discover > catalog.json

# Run sync
tap-openmeteo --config config.json --catalog catalog.json

With Meltano

Add to your meltano.yml:

plugins:
  extractors:
    - name: tap-openmeteo
      namespace: tap_openmeteo
      pip_url: git+https://github.com/celine-eu/tap-openmeteo.git
      config:
        locations:
          - name: Berlin
            latitude: 52.52
            longitude: 13.41
        forecast_days: 7
        hourly_variables:
          - temperature_2m
          - precipitation
          - weather_code

Run the pipeline:

meltano run tap-openmeteo target-jsonl

Incremental Sync

The tap supports incremental syncing for efficient data updates:

• Hourly/Daily/Historical streams: Use timestamp-based replication keys
• State tracking: Maintains sync state between runs
• Configurable lookback: Use past_days to include recent historical data

Weather Models

Open-Meteo combines data from multiple national weather services. You can either:

1. Use automatic selection (default): Best models are selected for each location
2. Specify models: Set models config to use specific weather models

Available models include:

• ecmwf_ifs025 - ECMWF IFS (global)
• gfs_seamless - NOAA GFS (global)
• icon_seamless - DWD ICON (Europe)
• meteofrance_seamless - Météo-France
• jma_seamless - JMA (Japan)
• gem_seamless - GEM (Canada)
• And many more regional models

API Key (Commercial Use)

For commercial use:

1. Get an API key from Open-Meteo pricing
2. Set api_key in your configuration
3. Use api_url: https://customer-api.open-meteo.com

Free tier is available for non-commercial use without an API key.

Development

Setup

# Clone the repository
git clone https://github.com/YOUR_ORG/tap-openmeteo.git
cd tap-openmeteo

# Install with dev dependencies
pip install -e ".[dev]"

Running Tests

pytest

Code Quality

# Linting
ruff check .

# Type checking
mypy tap_openmeteo

License

Apache 2.0

Contributing

Contributions are welcome! Please open an issue or submit a pull request.