Weatherstack SDKs & Libraries: Python, PHP, Node.js (2026)

SDKs overview

Weatherstack provides a RESTful API for current, historical, and forecast weather data, primarily accessed through direct HTTP requests. While Weatherstack does not offer a comprehensive suite of official, language-specific Software Development Kits (SDKs) in the traditional sense, its documentation features extensive code examples and guides in popular programming languages to facilitate integration. These examples often demonstrate how to construct API requests, handle API keys, and parse JSON responses. The approach streamlines the process for developers by providing ready-to-use snippets for common tasks, effectively serving a similar purpose to an SDK by reducing boilerplate code.

The API's design is straightforward, returning data in JSON format, which is widely supported across programming environments. This design choice, combined with clear examples, means that developers can integrate Weatherstack data using standard HTTP client libraries available in most languages, such as requests in Python or fetch in JavaScript. This flexibility allows developers to choose the most suitable tools for their projects without being restricted to a specific SDK framework.

Official SDKs by language

Weatherstack's approach to SDKs focuses on providing direct code examples rather than downloadable packages for each language. This method is common for APIs emphasizing REST principles and JSON data interchange, as outlined by W3C standards for web services, where generic HTTP libraries can be used effectively to interact with the API W3C Web Services Architecture. The following table summarizes the primary languages for which Weatherstack offers detailed integration examples and quickstart guides, which function as lightweight SDKs.

Installation

For most languages supported by Weatherstack, 'installation' primarily refers to setting up the necessary HTTP client libraries, as direct Weatherstack-specific SDK packages are not provided. The official documentation Weatherstack documentation provides detailed instructions and code snippets for each language.

Python (using requests)

pip install requests

The requests library is a popular choice for making HTTP requests in Python due to its ease of use and comprehensive features Python Requests documentation.

Node.js (using axios)

npm install axios

axios is a promise-based HTTP client for the browser and Node.js, widely used for its robust features.

PHP (no external libraries needed)

PHP can use native functions like file_get_contents() or the cURL extension, which is often enabled by default in PHP installations.

// No specific installation for basic HTTP requests
// Ensure cURL extension is enabled if using curl functions

Other languages

For Go, Ruby, and jQuery, developers typically utilize their respective native HTTP client capabilities or established community libraries, as demonstrated in the Weatherstack quickstart guides.

Quickstart example

This Python example demonstrates how to retrieve current weather data for a specified location using the Weatherstack API. It utilizes the requests library to make an HTTP GET request and then parses the JSON response to extract relevant information. Replace YOUR_ACCESS_KEY with your actual Weatherstack API access key and New York with your desired location.

import requests
import json

# Your Weatherstack API access key
ACCESS_KEY = 'YOUR_ACCESS_KEY'

# Base URL for the current weather endpoint
BASE_URL = 'http://api.weatherstack.com/current'

# Parameters for the API request
params = {
    'access_key': ACCESS_KEY,
    'query': 'New York' # Example location
}

try:
    # Make the GET request to the Weatherstack API
    response = requests.get(BASE_URL, params=params)
    response.raise_for_status() # Raise an exception for HTTP errors (4xx or 5xx)

    # Parse the JSON response
    data = response.json()

    # Check for API errors within the response payload
    if 'success' in data and not data['success']:
        print(f"API Error: {data.get('error', {}).get('info', 'Unknown error')}")
    else:
        # Extract and print current weather data
        current = data['current']
        location = data['location']

        print(f"Current Weather in {location['name']}, {location['country']}:")
        print(f"Temperature: {current['temperature']}°C (Feels like: {current['feelslike']}°C)")
        print(f"Description: {current['weather_descriptions'][0]}")
        print(f"Humidity: {current['humidity']}%")
        print(f"Wind Speed: {current['wind_speed']} km/h")
        print(f"Observation Time: {current['observation_time']}")

except requests.exceptions.RequestException as e:
    print(f"Network or HTTP Error: {e}")
except json.JSONDecodeError:
    print("Error: Could not decode JSON response.")
except KeyError as e:
    print(f"Error: Missing expected key in API response: {e}")

This script first defines the API key and endpoint. It then constructs a dictionary of parameters including the access key and query location. A requests.get() call sends the request, and the response.json() method parses the returned data. Error handling is included for network issues, HTTP status codes, and problems parsing the JSON response, ensuring robustness.

Community libraries

While Weatherstack provides official code examples rather than full SDK packages, the API's RESTful nature and JSON output make it straightforward for the developer community to create their own wrappers or helper libraries. These community-contributed tools can further streamline integration for specific languages or frameworks by offering more idiomatic interfaces or additional features.

Developers often publish such libraries on package managers specific to their language, such as PyPI for Python, npm for Node.js, or Packagist for PHP. When considering a community library, it is advisable to check its documentation, activity, and how recently it has been updated to ensure compatibility with the latest API versions and to confirm ongoing support. Searching on platforms like GitHub for 'weatherstack client' or 'weatherstack API wrapper' can yield various community-developed solutions. These might offer different levels of abstraction or cater to specific use cases not covered by the official examples.