Tomorrow

Overview

Tomorrow offers a Weather API that delivers a range of environmental data, including real-time, historical, and forecasted weather conditions. The platform serves developers and technical buyers who require detailed meteorological information for applications across various sectors, such as logistics, agriculture, energy, and consumer services. Its core products encompass a Weather API, Historical Weather API, Air Quality API, Pollen API, and Weather Maps, providing granular data down to specific locations and timeframes.

The API is designed to support applications that react to or depend on environmental conditions. This includes systems that require real-time alerts for severe weather, predictive models based on future forecasts, or analytical tools that process historical weather patterns. For instance, a logistics company might use the API to optimize delivery routes based on expected precipitation, while an agricultural firm could monitor soil moisture and temperature for irrigation management. The API's compliance with SOC 2 Type II indicates adherence to security and availability standards for handling data.

Tomorrow's API provides access to a variety of data types beyond standard temperature and wind speed. This includes specialized endpoints for air quality metrics (e.g., PM2.5, ozone), pollen forecasts, and even road conditions. The comprehensive nature of the data allows for the development of applications that require a holistic view of environmental factors. The documentation portal offers guides and an API playground to facilitate integration and testing, with explicit examples for common programming languages like Python and Node.js.

From a commercial perspective, Tomorrow positions its API for businesses looking to build weather-aware products or enhance existing services with environmental intelligence. The availability of a free Developer Plan, offering 500 API calls per day, allows prospective users to evaluate the API's capabilities before committing to a paid subscription. This approach aligns with common API adoption models, where a free tier supports initial development and testing. Paid plans scale based on call volume, targeting a range of business sizes and usage demands. The platform aims to provide a reliable source for environmental data, emphasizing data accuracy and API performance.

Key features

• Real-time Weather Data: Provides current weather conditions for any global location, including temperature, precipitation, wind, and atmospheric pressure.
• Historical Weather API: Offers access to past weather data, enabling detailed analysis of historical trends and conditions for specific dates and locations.
• Forecasted Weather Data: Delivers future weather predictions, including short-term and long-range forecasts, essential for planning and predictive modeling.
• Air Quality API: Supplies data on various air pollutants (e.g., PM2.5, PM10, ozone, NO2), supporting environmental monitoring and health-related applications.
• Pollen API: Provides pollen forecasts and current pollen levels for different types of allergens, useful for health and wellness applications.
• Weather Maps: Offers visualization capabilities for weather data, allowing developers to integrate interactive weather maps into their applications.
• Global Coverage: Provides weather data for locations worldwide, supporting international applications.
• High Granularity: Delivers hyper-local weather data, often down to street level, for precise location-based insights.

Pricing

Tomorrow's API offers a free Developer Plan and tiered paid plans. As of May 2026, the pricing structure is as follows:

For more detailed information on features included in each plan, refer to the official Tomorrow Weather API pricing page.

Common integrations

Tomorrow's API is designed for direct integration into custom applications. While explicit integration partners are not extensively listed, the API's structure supports connection with common platforms and services:

• Web and Mobile Applications: Used to display real-time weather, forecasts, or alerts within consumer-facing applications.
• IoT Platforms: Integrates with IoT devices and sensors to provide environmental context for sensor data or trigger actions based on weather conditions.
• Business Intelligence Tools: Weather data can be fed into BI dashboards for operational insights, especially in weather-sensitive industries like logistics or agriculture.
• Data Warehouses: Historical weather data can be ingested into data warehouses for long-term analysis and machine learning models.
• Workflow Automation Platforms: Can be integrated with platforms like Tray.io to automate tasks triggered by specific weather events.

Alternatives

Developers considering Tomorrow's API may also evaluate other weather data providers:

• OpenWeather: Offers current weather, forecasts, and historical data, including a free tier for basic usage.
• AccuWeather: Provides a range of weather APIs for developers, focusing on detailed forecasts and specialized data.
• Weatherbit.io: Delivers real-time, historical, and forecasted weather data with a focus on ease of use.

Getting started

To begin using the Tomorrow Weather API, developers typically sign up for an API key. The following Python example demonstrates how to fetch current weather data for a specific location using the API.

import requests

API_KEY = "YOUR_API_KEY"  # Replace with your actual API key
LOCATION = "40.7128,-74.0060"  # Latitude,Longitude for New York City
UNITS = "metric"  # Can be "metric" or "imperial"
FIELDS = "temperature,humidity,windSpeed,weatherCode"

url = f"https://api.tomorrow.io/v4/weather/realtime?location={LOCATION}&units={UNITS}&apikey={API_KEY}&fields={FIELDS}"

headers = {
    "accept": "application/json"
}

try:
    response = requests.get(url, headers=headers)
    response.raise_for_status()  # Raise an HTTPError for bad responses (4xx or 5xx)
    data = response.json()

    if data and "data" in data and "values" in data["data"]:
        values = data["data"]["values"]
        print(f"Current Weather for {LOCATION} (Units: {UNITS}):")
        print(f"  Temperature: {values.get('temperature')}°C")
        print(f"  Humidity: {values.get('humidity')}%")
        print(f"  Wind Speed: {values.get('windSpeed')} m/s")
        print(f"  Weather Code: {values.get('weatherCode')}")
    else:
        print("No weather data found or unexpected response format.")

except requests.exceptions.RequestException as e:
    print(f"An error occurred: {e}")
except ValueError:
    print("JSON decoding failed. Response might not be valid JSON.")

This Python script makes a GET request to the Tomorrow Realtime Weather API endpoint, specifying the API key, location coordinates, desired units, and specific data fields. The response is then parsed to display current temperature, humidity, wind speed, and weather code. For more complex requests or different endpoints, the Tomorrow API reference provides comprehensive details and additional examples.