QWeather SDKs & Libraries: Development Resources (2026)

SDKs overview

QWeather provides Software Development Kits (SDKs) to facilitate interaction with its weather data APIs. These SDKs are designed to streamline the process of fetching and integrating weather information, such as current conditions, forecasts, and historical data, into various applications, including web platforms, mobile apps, and IoT devices. The SDKs abstract the complexities of direct HTTP requests, authentication, and response parsing, allowing developers to focus on application logic rather than low-level API interactions. QWeather offers official SDKs for commonly used programming languages and platforms, ensuring broader accessibility for developers seeking to incorporate weather intelligence.

Integrating an SDK typically involves installing the library, configuring it with an API key, and then calling specific functions to retrieve desired weather data. The QWeather documentation provides detailed guides and examples for each supported SDK, covering aspects from initial setup to advanced data querying techniques. These resources are intended to assist developers in quickly getting started with weather data integration (QWeather developer documentation).

Official SDKs by language

QWeather maintains official SDKs for several programming languages and platforms, ensuring direct support and compatibility with their API services. These SDKs are developed and updated by QWeather to align with API changes and introduce new features. Each SDK is tailored to the conventions and best practices of its respective language or platform.

For specific versioning and dependency management, developers should refer to the official QWeather SDK guides for each language (QWeather SDK documentation).

Installation

Installation of QWeather SDKs follows standard procedures for each respective programming environment. The process typically involves using a package manager to add the SDK as a dependency to your project.

JavaScript

For web applications or Node.js environments, the JavaScript SDK can be installed via npm or yarn:

npm install qweather-javascript-sdk
# or
yarn add qweather-javascript-sdk

After installation, you can import the SDK into your project:

import QWeather from 'qweather-javascript-sdk';

Python

The Python SDK is available through pip, Python's package installer:

pip install qweather-python-sdk

Once installed, the SDK can be imported and initialized:

from qweather_sdk import QWeatherClient

Java

For Java projects, the SDK can be included as a dependency using Maven or Gradle. For Maven, add the following to your pom.xml:

<dependency>
    <groupId>com.qweather</groupId>
    <artifactId>qweather-java-sdk</artifactId>
    <version>[REPLACE_WITH_LATEST_VERSION]</version>
</dependency>

For Gradle, add to your build.gradle file:

implementation 'com.qweather:qweather-java-sdk:[REPLACE_WITH_LATEST_VERSION]'

Ensure to replace [REPLACE_WITH_LATEST_VERSION] with the current stable version found in the QWeather Java SDK documentation.

PHP

The PHP SDK is managed via Composer, the PHP dependency manager:

composer require qweather/php-sdk

After installation, Composer's autoloader will make the classes available:

require 'vendor/autoload.php';
use QWeather\SDK\Client;

Android

For Android development, the SDK is integrated into your project's build.gradle (module level) file:

dependencies {
    implementation 'com.qweather.android:qweather-sdk:[REPLACE_WITH_LATEST_VERSION]'
}

Always check the QWeather Android SDK documentation for the latest version and detailed instructions.

Quickstart example

This Python example demonstrates how to use the QWeather Python SDK to fetch the current weather conditions for a specific location. Before running, ensure you have an API key from QWeather's developer console.

First, install the Python SDK:

pip install qweather-python-sdk

Then, use the following Python code:

from qweather_sdk import QWeatherClient
from qweather_sdk.enums import Lang
from qweather_sdk.exceptions import QWeatherRequestException

def get_current_weather(api_key: str, location_id: str):
    try:
        client = QWeatherClient(api_key=api_key)
        
        # Fetch real-time weather data
        current_weather = client.get_weather_now(location=location_id, lang=Lang.EN)
        
        if current_weather and current_weather.code == '200' and current_weather.now:
            print(f"Current Weather for {current_weather.location[0].name}, {current_weather.location[0].country}:")
            print(f"  Temperature: {current_weather.now.temp}°C")
            print(f"  Condition: {current_weather.now.text}")
            print(f"  Wind Direction: {current_weather.now.windDir}")
            print(f"  Wind Speed: {current_weather.now.windScale}级 ({current_weather.now.windSpeed} km/h)")
            print(f"  Humidity: {current_weather.now.humidity}%")
            print(f"  Visibility: {current_weather.now.vis} km")
        else:
            print(f"Could not retrieve weather data. API response code: {current_weather.code}")
            if current_weather.refer and current_weather.refer.errorMessage:
                print(f"Error message: {current_weather.refer.errorMessage}")

    except QWeatherRequestException as e:
        print(f"API request error: {e}")
        print("Check your API key, network connection, or API limits.")
    except Exception as e:
        print(f"An unexpected error occurred: {e}")


# Replace with your actual API key and a valid QWeather location ID
# Example location ID for Beijing: 101010100
# Find location IDs using the QWeather GeoAPI: https://dev.qweather.com/docs/api/geo/city-lookup/
# Ensure your API key has access to 'Weather Now' data.
YOUR_API_KEY = "YOUR_QWEATHER_API_KEY"
YOUR_LOCATION_ID = "101010100" # Example: Beijing

if __name__ == "__main__":
    get_current_weather(YOUR_API_KEY, YOUR_LOCATION_ID)

This quickstart illustrates the typical pattern of initializing the client with an API key and then calling a specific method (get_weather_now) to retrieve data. The output provides current weather details for the specified location. For more complex queries, such as forecasts or historical data, refer to the QWeather API reference.

Community libraries

While QWeather provides a suite of official SDKs, the broader developer community may also contribute open-source libraries or wrappers. These community-maintained resources can offer alternative implementations, support for less common languages, or specialized functionalities not present in the official SDKs. However, community libraries typically do not receive direct support from QWeather and their maintenance status, compatibility with the latest API versions, and overall reliability can vary. Developers considering community libraries should review their documentation, recent activity, and community support before integration. For instance, the Python Package Index (PyPI) or GitHub can be searched for QWeather-related projects to identify community contributions. When using third-party libraries, it's advisable to verify their source and security practices, as outlined in general software development guidelines (Mozilla Developer Network's guide on web security).

It is recommended to prioritize official SDKs for stability and direct support, especially for production environments (QWeather SDK documentation). If a specific language or feature is required and not covered by an official SDK, community libraries can be explored with appropriate diligence.