AcreLens SDKs & Libraries: Python, JavaScript Integration (2026)

SDKs overview

AcreLens offers Software Development Kits (SDKs) and client libraries designed to streamline integration with its suite of crop intelligence APIs. These SDKs abstract away the complexities of direct HTTP requests, authentication, and data parsing, allowing developers to focus on building agricultural applications. The official SDKs support common programming languages, providing idiomatic interfaces for interacting with services like the Crop Health API, Yield Prediction API, and Soil Moisture API, as detailed in the AcreLens API reference.

Using an SDK can reduce development time and potential errors compared to manually constructing API calls. For example, SDKs typically handle API key management and secure communication, which are fundamental aspects of API integration, as described by general API security practices on OAuth.net. AcreLens SDKs are maintained to reflect the latest API versions and features, ensuring compatibility and access to new functionalities as they become available.

Official SDKs by language

AcreLens provides official SDKs for Python and JavaScript, catering to common development environments in data science, web development, and backend services. These SDKs are developed and maintained by AcreLens to ensure full compatibility with their API endpoints and to provide a consistent developer experience across supported languages. Each SDK includes modules for authentication, making requests to specific API endpoints, and handling responses, often including data structures that map directly to API output.

The Python SDK is frequently utilized in data analysis, machine learning workflows, and backend services, while the JavaScript SDK is suitable for both Node.js backend applications and browser-based client-side integrations, although direct browser usage may require careful consideration of API key security. Details on the specific functions and classes within each SDK are available in the AcreLens official documentation.

Official SDKs Table

Installation

Before installing any AcreLens SDK, ensure you have the appropriate package manager for your chosen language: pip for Python or npm/yarn for JavaScript. A stable internet connection is also required to download the package dependencies. It is recommended to use a virtual environment for Python projects to manage dependencies effectively, a practice commonly advised for Python development, as noted on Google Cloud's Python development setup guide.

Python SDK Installation

To install the AcreLens Python SDK, open your terminal or command prompt and execute the following command:

pip install acrelens-sdk-python

This command downloads the latest stable version of the SDK and its dependencies from PyPI. After installation, you can import the SDK into your Python scripts.

JavaScript SDK Installation

For JavaScript applications (Node.js environment), navigate to your project directory in the terminal and run:

npm install @acrelens/sdk-js

Alternatively, if you use Yarn:

yarn add @acrelens/sdk-js

This will add the @acrelens/sdk-js package to your node_modules directory and update your package.json file. You can then import the SDK into your JavaScript files using require or import statements.

Quickstart example

The following quickstart examples demonstrate basic API interaction using the official AcreLens SDKs. These examples focus on authenticating with an API key and making a simple request, such as fetching crop health data for a specified field. Before running these examples, ensure you have an AcreLens API key, which can be obtained from your AcreLens account dashboard.

Python Quickstart

This Python example initializes the client and fetches a list of available fields.

from acrelens_sdk_python import AcreLensClient

# Replace 'YOUR_ACRELENS_API_KEY' with your actual API key
API_KEY = "YOUR_ACRELENS_API_KEY"

try:
    client = AcreLensClient(api_key=API_KEY)
    
    # Example: List available fields
    fields = client.field_api.list_fields()
    print("Successfully connected to AcreLens. Available fields:")
    for field in fields.data:
        print(f"- Field ID: {field.id}, Name: {field.name}")

    # Example: Get crop health for a specific field (replace with actual field_id)
    if fields.data:
        first_field_id = fields.data[0].id
        crop_health_data = client.crop_health_api.get_crop_health(field_id=first_field_id)
        print(f"\nCrop health data for field {first_field_id}: {crop_health_data.data}")

except Exception as e:
    print(f"An error occurred: {e}")

This script first initializes the AcreLensClient with your API key. It then calls the list_fields() method from the field_api module to retrieve a list of fields associated with your account. Subsequently, it demonstrates how to fetch crop health data for the first field found. Error handling is included to catch potential issues during API calls.

JavaScript Quickstart (Node.js)

This JavaScript example demonstrates initializing the client and fetching crop health data using Node.js.

const { AcreLensClient } = require('@acrelens/sdk-js');

// Replace 'YOUR_ACRELENS_API_KEY' with your actual API key
const API_KEY = 'YOUR_ACRELENS_API_KEY';

async function runExample() {
  try {
    const client = new AcreLensClient({ apiKey: API_KEY });

    // Example: List available fields
    const fieldsResponse = await client.fieldApi.listFields();
    console.log('Successfully connected to AcreLens. Available fields:');
    for (const field of fieldsResponse.data) {
      console.log(`- Field ID: ${field.id}, Name: ${field.name}`);
    }

    // Example: Get crop health for a specific field (replace with actual fieldId)
    if (fieldsResponse.data.length > 0) {
      const firstFieldId = fieldsResponse.data[0].id;
      const cropHealthResponse = await client.cropHealthApi.getCropHealth({ fieldId: firstFieldId });
      console.log(`\nCrop health data for field ${firstFieldId}:`, cropHealthResponse.data);
    }

  } catch (error) {
    console.error('An error occurred:', error.message);
  }
}

runExample();

In this Node.js example, the AcreLensClient is instantiated with the API key. It then asynchronously calls the listFields() method to get a list of fields. Following that, it retrieves crop health data for the first field found using the getCropHealth() method. Asynchronous operations are handled with async/await, and a try...catch block manages potential errors.

Community libraries

While AcreLens provides official SDKs, the broader developer community may also contribute open-source libraries, connectors, or tools that integrate with AcreLens APIs. These community-driven projects can offer alternative language support, specialized functionalities, or integrations with other platforms. However, community libraries are not officially supported or maintained by AcreLens and may vary in stability, documentation, and feature completeness.

Developers considering community libraries should review their source code, check for active maintenance, and understand their licensing terms. It is also advisable to cross-reference their functionality with the AcreLens API reference to ensure compatibility and correctness. For the most reliable and up-to-date integration, the official SDKs are generally recommended.

Examples of common community contributions across various API ecosystems include wrappers for unsupported languages, command-line interfaces (CLIs), or integrations with data visualization tools. These can often be found on platforms like GitHub or package repositories specific to programming languages, such as PyPI for Python or npm for JavaScript, where developers share their projects, as outlined by general practices for JavaScript module management.