Micro Weather SDKs & Libraries: Python, Node.js, Java, Go (2026)

SDKs overview

Micro Weather offers Software Development Kits (SDKs) and client libraries designed to facilitate integration with its Hyperlocal Weather API. These SDKs handle common tasks such as authentication, request formatting, and response parsing, allowing developers to focus on application logic rather than low-level API interactions. By providing pre-built functions and objects, SDKs can reduce development time and potential errors when consuming weather data for various applications, including location-based services, agriculture analytics, and smart city infrastructure.

The SDKs are developed and maintained by Micro Weather to ensure compatibility and leverage the full capabilities of their API, which provides current weather conditions, short-range forecasts (nowcasting), and historical weather data. For a complete understanding of the available API endpoints and data models, developers can consult the Micro Weather API reference documentation.

Official SDKs by language

Micro Weather provides official SDKs for several popular programming languages, ensuring broad compatibility across different development environments. These SDKs are maintained by Micro Weather and are the recommended method for integrating with their API due to their direct support for all API features and ongoing updates. Each SDK is tailored to the idiomatic practices of its respective language, offering a natural development experience.

The following table outlines the official SDKs, their typical package names, and the common installation commands:

Each SDK provides specific client classes or functions for interacting with different parts of the Micro Weather API. For instance, a Python SDK might have methods like get_current_weather(latitude, longitude) or get_forecast(latitude, longitude, days), abstracting the HTTP requests and JSON parsing. Developers can find detailed API usage examples within the Micro Weather developer documentation.

Installation

Installing Micro Weather SDKs involves using the standard package management tools for each respective language. The process is designed to be straightforward, allowing developers to quickly set up their development environments.

Python SDK Installation

The Python SDK is distributed via PyPI. You can install it using pip:

pip install microweather-python

After installation, you can import the library into your Python project. Dependencies, if any, are managed automatically by pip. Python's package ecosystem is robust, allowing for easy management of project dependencies as described in the Python documentation on virtual environments.

Node.js SDK Installation

The Node.js SDK is available on npm. Use npm or yarn to add it to your project:

npm install @microweather/nodejs
# or
yarn add @microweather/nodejs

Once installed, you can require or import the module in your JavaScript or TypeScript files. Node.js applications frequently use package.json to manage dependencies, which can be further explored in the npm install guide.

Java SDK Installation

For Java projects, the SDK is typically managed using Maven or Gradle. You need to add the dependency to your project's build file. For Maven, add the following to your pom.xml:

<dependency>
    <groupId>com.microweather</groupId>
    <artifactId>java-sdk</artifactId>
    <version>1.0.0</version> <!-- Replace with the latest version -->
</dependency>

For Gradle, add this to your build.gradle file:

implementation 'com.microweather:java-sdk:1.0.0' // Replace with the latest version

Ensure you replace 1.0.0 with the latest stable version of the Java SDK. Java's ecosystem for build tools like Maven and Gradle simplifies dependency management, as detailed in the Maven getting started guide.

Go SDK Installation

Go modules are used for installing the Go SDK. Run the following command in your project directory:

go get github.com/microweather/go-sdk

This command will fetch the latest version of the SDK and add it to your go.mod file. You can then import the package into your Go source files. Go's module system is designed for efficient dependency handling, which is well-documented in the Go modules reference.

Quickstart example

This quickstart demonstrates fetching current weather conditions for a specific location using the Micro Weather Python SDK. Before running the example, ensure you have your Micro Weather API key. You can obtain a key by signing up for a Micro Weather Developer Plan.

import os
from microweather_python import MicroWeatherClient

# Set your API key from environment variables for security
# Alternatively, replace os.environ.get with your actual API key string
API_KEY = os.environ.get("MICRO_WEATHER_API_KEY")

# Initialize the client with your API key
client = MicroWeatherClient(api_key=API_KEY)

# Define the location (latitude, longitude) for which to fetch weather data
latitude = 34.0522
longitude = -118.2437

try:
    # Fetch current weather data
    current_weather = client.get_current_weather(latitude=latitude, longitude=longitude)

    # Print relevant weather information
    print(f"Current Weather for Lat: {latitude}, Lon: {longitude}")
    print(f"Temperature: {current_weather.temperature}°C")
    print(f"Condition: {current_weather.condition}")
    print(f"Humidity: {current_weather.humidity}%")
    print(f"Wind Speed: {current_weather.wind_speed} m/s")
    print(f"Feels Like: {current_weather.feels_like}°C")

except Exception as e:
    print(f"Error fetching weather data: {e}")

# Example of fetching a short-range forecast (if available in your plan)
# try:
#     forecast = client.get_forecast(latitude=latitude, longitude=longitude, days=3)
#     print("\n3-Day Forecast:")
#     for day in forecast.daily:
#         print(f"Date: {day.date}, Max Temp: {day.max_temperature}°C, Min Temp: {day.min_temperature}°C, Condition: {day.condition}")
# except Exception as e:
#     print(f"Error fetching forecast data: {e}")

To run this example:

1. Save the code as a .py file (e.g., weather_app.py).
2. Set your API key as an environment variable: export MICRO_WEATHER_API_KEY='YOUR_API_KEY_HERE' (on Linux/macOS) or $env:MICRO_WEATHER_API_KEY='YOUR_API_KEY_HERE' (on Windows PowerShell).
3. Execute the script from your terminal: python weather_app.py.

This code snippet initializes the MicroWeatherClient, uses your API key for authentication, and then calls the get_current_weather method with specific latitude and longitude coordinates. The response object contains various weather parameters, which are then printed to the console. The commented-out forecast example illustrates how to extend the functionality for future weather predictions, contingent on your Micro Weather subscription plan.

Community libraries

While Micro Weather provides official SDKs for the most commonly used languages, the broader developer community may also contribute open-source client libraries or integrations. These community-driven projects can offer alternative approaches, support for niche languages, or specialized functionalities not present in the official SDKs. However, it is important to note that community libraries are not officially supported or maintained by Micro Weather. Their reliability, security, and compatibility with the latest API versions can vary.

Developers considering community libraries should:

• Verify the source: Check the repository (e.g., GitHub) for activity, recent updates, and open issues.
• Examine documentation: Ensure the library has clear installation and usage instructions.
• Review code quality: Look for well-structured, readable code and adequate test coverage.
• Assess maintenance: A library that is actively maintained is more likely to be compatible with future API changes.

As of 2026, the primary recommendation is to utilize the official Micro Weather SDKs for stability and direct support. For specific use cases where an official SDK is not available or a community alternative offers unique benefits, developers should exercise due diligence in evaluating community-contributed code. Resources like GitHub's search functionality or language-specific package registries (e.g., PyPI, npm) can be used to discover such community efforts, though none are officially endorsed or guaranteed by Micro Weather.