BreezoMeter Pollen SDKs & Libraries: Development Tools (2026)

SDKs overview

BreezoMeter Pollen provides access to its environmental data through a RESTful API. While BreezoMeter itself does not offer traditional, full-featured SDKs for every programming language, its documentation emphasizes direct API interaction, providing extensive code examples in Python, JavaScript, and cURL to facilitate integration. This approach allows developers to use standard HTTP client libraries available in their preferred language to interact with the API endpoints directly. The API design adheres to common web service principles, making it accessible from various development environments.

The BreezoMeter Pollen API delivers data in JSON format, a widely supported data interchange format across programming languages and platforms. This design choice minimizes the need for specialized client libraries for basic data retrieval and parsing, as most modern languages have built-in or readily available libraries for handling JSON. Developers can refer to the official BreezoMeter API reference for detailed endpoint specifications, request parameters, and response structures.

For more complex applications, developers often build their own client wrappers or utilize community-contributed libraries that abstract the HTTP requests and response parsing, offering a more idiomatic interface for their chosen language. This page outlines the primary methods for integrating with the BreezoMeter Pollen API, focusing on the direct API approach exemplified in their documentation and noting any known community efforts.

Official SDKs by language

While BreezoMeter Pollen primarily supports direct API integration with comprehensive code examples rather than formal SDKs, the provided resources effectively serve a similar purpose for developers. The table below summarizes the official examples and integration guidance available:

The official documentation provides specific code snippets for these languages, illustrating how to construct requests, include API keys, and parse responses. This method of integration is common for RESTful APIs, where the API itself acts as the primary interface, and client-side logic is handled by standard HTTP libraries. For instance, the BreezoMeter Pollen documentation offers examples that demonstrate making requests and handling JSON responses.

Installation

Since BreezoMeter Pollen emphasizes direct API interaction over bundled SDKs, installation primarily involves setting up an HTTP client library in your chosen programming environment. The following sections detail common installation methods for the languages highlighted in BreezoMeter's examples.

Python

For Python, the requests library is a widely used and recommended HTTP client. It simplifies making HTTP requests and handling responses.

pip install requests

After installation, you can import requests into your Python script and use its functions to interact with the BreezoMeter Pollen API. For managing Python packages, Python's virtual environments are recommended to isolate project dependencies.

JavaScript (Node.js/Browser)

In JavaScript, you have options for both client-side (browser) and server-side (Node.js) environments.

Node.js

For Node.js applications, axios is a popular promise-based HTTP client.

npm install axios

Alternatively, the built-in http or https modules can be used, though they require more boilerplate code. The Node Package Manager (npm) is the standard for managing JavaScript packages, as detailed in the npm install documentation.

Browser

Modern web browsers have a built-in fetch API for making HTTP requests.

// No installation needed, fetch is globally available in browsers

For older browsers that do not support fetch, or for more robust features, libraries like axios can also be used in the browser by including it via a CDN or bundling it with your application.

cURL

cURL is a command-line tool and library for transferring data with URLs. It is often pre-installed on Linux and macOS systems. For Windows, it can be downloaded from the cURL website or installed via package managers like Chocolatey.

# No installation command typically needed if already present
# Check if cURL is installed:
curl --version

Quickstart example

This quickstart example demonstrates how to retrieve pollen data from the BreezoMeter Pollen API using Python. You will need an API key, which can be obtained by signing up for a BreezoMeter account and accessing the free trial.

Python Quickstart

This example fetches current pollen data for a specific location (e.g., London, UK).

import requests
import json

# Replace with your actual API key from BreezoMeter
API_KEY = "YOUR_BREEZOMETER_API_KEY"

# Define the location (latitude and longitude)
LATITUDE = 51.5074
LONGITUDE = 0.1278

# Construct the API endpoint URL for Pollen API
# Refer to BreezoMeter's API documentation for specific endpoint paths and parameters
# For illustrative purposes, using a hypothetical pollen endpoint structure
# Actual endpoint would be something like: https://api.breezometer.com/pollen/v2/current-conditions
# with parameters for location and features.

# Example URL (adjust according to current BreezoMeter Pollen API documentation)
# The actual Pollen API endpoint structure may vary. Check the latest API reference.
# For a general BreezoMeter API call, you might use an endpoint like:
# https://api.breezometer.com/baqi/?lat={LAT}&lon={LON}&key={API_KEY}
# For Pollen specifically, consult the BreezoMeter Pollen API reference.

# For current pollen data, a typical request might look like this (conceptual):
# BASE_URL = "https://api.breezometer.com/pollen/v2/current-conditions"
# params = {
#     "lat": LATITUDE,
#     "lon": LONGITUDE,
#     "key": API_KEY,
#     "features": "pollen_levels,plants_types"
# }

# Using a generic example for BreezoMeter's API structure, as Pollen API specifics can change.
# Developers should always consult the official BreezoMeter Pollen API documentation for the exact endpoint and parameters.

# --- Using a conceptual Pollen API endpoint for demonstration ---
# This example uses a structure similar to other BreezoMeter APIs for illustration.
# The actual Pollen API parameters might include 'lang', 'days', 'hours', etc.
# Always verify the latest API reference at: https://docs.breezometer.com/api-reference/pollen-api/introduction (if available)

# For simplicity, let's assume a conceptual endpoint that provides pollen data with lat/lon.
# A more accurate example for pollen data would involve the 'pollen/v2/current-conditions' endpoint.
# For example, using the Air Quality API structure as a placeholder for demonstration:

# Let's use the Air Quality API endpoint for demonstration as a proxy for structure,
# as the Pollen API endpoint specifics can be found in the BreezoMeter documentation.
# The principle of making a GET request with lat/lon/key remains the same.

BASE_URL = "https://api.breezometer.com/air-quality/v2/current-conditions"
params = {
    "lat": LATITUDE,
    "lon": LONGITUDE,
    "key": API_KEY,
    "features": "pollutants_concentrations,pollen_types"
} # Note: 'pollen_types' might be a feature available in Air Quality API, or a dedicated Pollen API feature

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

    print("Successfully retrieved data:")
    # print(json.dumps(data, indent=4))

    # Extract and display relevant pollen information (adjust based on actual response structure)
    if "data" in data and "pollen_types" in data["data"]:
        print("Pollen Information:")
        for pollen_type, details in data["data"]["pollen_types"].items():
            print(f"  {pollen_type.replace('_', ' ').title()}:")
            print(f"    Category: {details.get('category', 'N/A')}")
            print(f"    Level: {details.get('level', {}).get('display_name', 'N/A')}")
            print(f"    Index: {details.get('index', {}).get('value', 'N/A')}")
    else:
        print("No specific pollen data found in the response or structure differs.")
        print("Full response for debugging:")
        print(json.dumps(data, indent=4))

except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err}")
    print(f"Response body: {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")

This Python script demonstrates the basic structure for making a GET request to a BreezoMeter API endpoint, including parameters for location and API key. It then parses the JSON response to extract and display relevant pollen information. Developers should consult the BreezoMeter API documentation for the most up-to-date endpoint paths, required parameters, and response formats for their specific use case.

Community libraries

As BreezoMeter primarily supports direct API integration, the landscape of official, full-featured SDKs is limited. However, the open-source community often develops client libraries or wrappers to simplify interactions with popular APIs. These community-driven projects can offer language-specific abstractions, error handling, and convenience methods that go beyond direct HTTP requests.

While a comprehensive official list of community-maintained BreezoMeter Pollen libraries is not publicly provided, developers can typically find such resources by searching platforms like GitHub or package repositories (e.g., PyPI for Python, npm for JavaScript) using keywords such as "BreezoMeter API client" or "Pollen API wrapper." When considering community libraries, it is important to evaluate their maintenance status, community support, and alignment with the latest BreezoMeter API versions. For example, a search on GitHub might reveal various unofficial clients.

Developers should exercise caution and review the source code of any third-party library before incorporating it into production applications, especially concerning API key management and data security practices. The BreezoMeter homepage and official documentation remain the authoritative source for API specifications and best practices.