SDKs overview

wttr.in operates primarily as a command-line utility that fetches and displays weather information directly in a terminal via simple HTTP GET requests. Unlike many commercial weather APIs, wttr.in does not provide traditional, feature-rich Software Development Kits (SDKs) maintained by an official vendor. Instead, its design emphasizes direct HTTP interaction, making it accessible from any language capable of making web requests. The project's official documentation details the various query parameters and output formats available, including plain text, Unicode, and JSON, which serve as the foundation for any integration. This approach simplifies development by removing the need for API keys or complex authentication flows for basic usage.

The flexibility of wttr.in's HTTP interface means that developers often create their own wrappers or utilize general-purpose HTTP client libraries to interact with it. These community-contributed tools, while not officially supported by wttr.in's maintainers, extend its reach into various programming ecosystems, offering more idiomatic ways to consume its data. These libraries typically handle URL construction, request execution, and parsing of the returned data, abstracting away the raw HTTP interactions. For example, a Python developer might use the requests library to fetch weather data, while a JavaScript developer might use fetch or axios. The strength of this model lies in its simplicity and the ability for the developer community to adapt wttr.in to diverse project requirements.

Official SDKs by language

wttr.in does not offer official, vendor-maintained SDKs. Its design philosophy centers around direct HTTP access, making it language-agnostic. Developers interact with wttr.in by constructing specific URLs and sending standard HTTP GET requests, then parsing the response. This method is outlined in the wttr.in help page, which serves as the primary reference for all API interactions. The absence of official SDKs means that any language-specific libraries for wttr.in are community-driven projects, developed and maintained independently. These community efforts often aim to provide convenience wrappers around the core HTTP interface, making it easier for developers to integrate wttr.in data into their applications using familiar language constructs.

The table below summarizes the general approach to interacting with wttr.in, highlighting that there are no official SDKs but rather a reliance on standard HTTP client libraries available in most programming languages. This model is common for APIs that prioritize simplicity and direct web access over complex, feature-rich SDKs. The maturity of these community libraries varies widely, from simple scripts to more developed packages, reflecting the distributed nature of open-source contributions. Developers should evaluate these community options based on their project's specific needs, considering factors like active maintenance, documentation, and community support.

Language Package Type Installation Command (Example) Maturity
Python HTTP Client (e.g., requests) pip install requests Stable (for HTTP client)
JavaScript/Node.js HTTP Client (e.g., node-fetch, axios) npm install node-fetch Stable (for HTTP client)
Ruby HTTP Client (e.g., net/http, rest-client) gem install rest-client Stable (for HTTP client)
Go Standard Library (net/http) No external install needed Stable (for HTTP client)
PHP HTTP Client (e.g., Guzzle) composer require guzzlehttp/guzzle Stable (for HTTP client)

Installation

Since wttr.in primarily functions via direct HTTP requests, there is no traditional SDK to install in the sense of a dedicated library from a package manager for wttr.in specifically. Instead, installation refers to setting up an HTTP client in your chosen programming environment. The core interaction involves sending a GET request to https://wttr.in/ followed by a location and optional parameters.

Python

For Python, the requests library is a common choice for making HTTP requests. It provides a user-friendly API for interacting with web services.

pip install requests

After installation, you can import and use it in your Python scripts to fetch data from wttr.in. The Requests library documentation provides comprehensive details on its features and usage for HTTP communication.

JavaScript/Node.js

In Node.js environments, node-fetch (to mimic browser's fetch API) or axios are popular HTTP clients. For browser-based applications, the native fetch API is typically used.

npm install node-fetch
# or
npm install axios

These packages allow you to make asynchronous HTTP requests within your JavaScript applications. The MDN Web Docs on Fetch API offer insights into its capabilities for web requests.

Ruby

Ruby's standard library includes net/http for making HTTP requests. For a more feature-rich client, rest-client is often preferred.

gem install rest-client

This gem simplifies common HTTP operations, providing a concise interface for interacting with RESTful services like wttr.in. More information on Ruby's HTTP capabilities can be found in the Ruby Net::HTTP documentation.

Go

Go's standard library provides robust HTTP client capabilities through the net/http package, requiring no external installation.

import (
    "fmt"
    "io/ioutil"
    "net/http"
)

This package is built into the Go toolchain, making it straightforward to implement HTTP requests. The Go net/http package documentation details how to construct and send requests efficiently.

Quickstart example

This quickstart demonstrates fetching weather data for a specific location (e.g., London) from wttr.in using Python and the requests library, then printing the raw text output. The example highlights the simplicity of interacting with wttr.in's HTTP interface.

Python Quickstart

First, ensure you have the requests library installed:

pip install requests

Then, create a Python script (e.g., get_weather.py) with the following content:

import requests

def get_weather(location):
    url = f"https://wttr.in/{location}"
    try:
        response = requests.get(url)
        response.raise_for_status()  # Raise an HTTPError for bad responses (4xx or 5xx)
        print(response.text)
    except requests.exceptions.HTTPError as http_err:
        print(f"HTTP error occurred: {http_err}")  # Python 3.6+
    except requests.exceptions.ConnectionError as conn_err:
        print(f"Connection error occurred: {conn_err}")
    except requests.exceptions.Timeout as timeout_err:
        print(f"Timeout error occurred: {timeout_err}")
    except requests.exceptions.RequestException as req_err:
        print(f"An unexpected error occurred: {req_err}")

if __name__ == "__main__":
    # Get weather for London
    get_weather("London")

    # Get weather for Paris in JSON format
    print("\n--- Weather for Paris (JSON) ---")
    url_json = "https://wttr.in/Paris?format=j1"
    try:
        response_json = requests.get(url_json)
        response_json.raise_for_status()
        print(response_json.json()) # Parse and print JSON response
    except requests.exceptions.RequestException as e:
        print(f"Error fetching JSON weather: {e}")

    # Get moon phase for a specific date
    print("\n--- Moon phase for 2026-06-15 ---")
    url_moon = "https://wttr.in/Moon@2026-06-15"
    try:
        response_moon = requests.get(url_moon)
        response_moon.raise_for_status()
        print(response_moon.text)
    except requests.exceptions.RequestException as e:
        print(f"Error fetching moon phase: {e}")

To run this script, save it as get_weather.py and execute it from your terminal:

python get_weather.py

This will output the current weather conditions and a three-day forecast for London directly in your terminal, followed by the JSON output for Paris and the moon phase for the specified date. The example demonstrates how to handle different query parameters and output formats, which are key to customizing wttr.in interactions.

Community libraries

The open-source nature of wttr.in has fostered a community of developers who create and maintain libraries and wrappers in various programming languages. These community-driven projects aim to simplify interaction with wttr.in by providing more idiomatic interfaces than direct HTTP requests. While not officially endorsed or supported by the wttr.in project maintainers, they can offer convenience and integrate better with specific language ecosystems.

Examples of community-contributed libraries and tools include:

  • Python Wrappers: Several Python libraries exist that abstract the URL construction and response parsing. These might offer functions like get_weather('location') or get_moon_phase('date'), returning structured data rather than raw text. Developers can search PyPI for packages related to 'wttr.in' to find current options.
  • Node.js Modules: For JavaScript environments, modules might provide similar functionality, enabling developers to integrate wttr.in data into web applications or server-side Node.js scripts. These often leverage standard HTTP clients like axios or node-fetch internally.
  • Shell Scripts and Aliases: Many users create custom shell scripts or aliases to quickly access wttr.in with predefined locations or formats. For example, an alias like alias weather="curl wttr.in/London" provides instant access. This is a common pattern for command-line tools, as described in various Bash shell scripting guides.
  • Desktop Widgets and Integrations: Some community projects integrate wttr.in into desktop widgets or status bar applications, providing persistent weather displays without needing to open a terminal. These often rely on the JSON output format for easier parsing.

When considering a community library, it is advisable to check its activity, documentation, and community support. Look for projects that are actively maintained, have clear usage examples, and address potential error handling or edge cases. While these libraries can streamline development, direct HTTP interaction remains a viable and often simpler alternative for many use cases, especially given wttr.in's straightforward API design.