ScientificMicroservices 1.0.7

Easily call the APIs by Scientific Microservices. Requires an API key to be registered. See scientificmicroservices.com for more information.

Scientific Microservices Python Wrapper

This Python module provides a simple interface to the APIs offered by Scientific Microservices. These APIs deliver lightweight, cloud-hosted scientific models designed for rapid data analysis and preprocessing.

Features

• Simple Interface – Invoke scientific models with minimal code.
• Fast Responses – Get results in milliseconds.
• Chainable APIs – Combine multiple APIs for advanced workflows.
• Stateless Operations – Each call is independent.
• Secure Communication – All data is transmitted over secure protocols.

Installation

Install the package using pip:

pip install ScientificMicroservices

Usage

Here's a basic example of how to use the wrapper:

from ScientificMicroservices import DetectOutliers
# Initialize the API client
api_key = os.environ("api_key")

# Define the input data
input_data = [1, 2, 4, 5, 40, 3, 5, 6]

# Call the API
outliers = DetectOutliers(email, api_key, input_data)

# Process the response
print(response)

Replace DetectOutliers with the specific API you wish to use and adjust the input_data accordingly.

Documentation

For detailed information on available models and their parameters, please refer to the relevant pages at scientificmicroservices.com/library/docs.

Contributing

Contributions are welcome! If you'd like to improve this wrapper or add support for additional models, please fork the repository and submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.