Newton

Overview

Newton is an interactive, web-based platform engineered for mathematical computation, scientific computing education, and collaborative data analysis. It provides a notebook environment where users can combine code, equations, visualizations, and narrative text, making it suitable for documenting complex scientific workflows and educational content. The platform is designed to facilitate the exploration and presentation of mathematical concepts and data-driven insights.

Targeted primarily at developers, educators, researchers, and technical buyers, Newton aims to streamline the process of working with mathematical models and data. Its feature set supports a range of activities from classroom instruction to advanced research projects, offering tools for numerical analysis, symbolic computation, and graphical representation of data. The interactive nature of the notebooks allows users to execute code cells, modify parameters, and observe immediate results, which can enhance understanding and experimentation.

The Newton API extends the platform's utility by enabling programmatic access to its core computational engine and notebook functionalities. This allows developers to integrate Newton's capabilities into external applications, automate routine tasks, or embed interactive mathematical content directly into their own web services. Use cases for the API include generating dynamic reports, building custom educational tools, or creating specialized data analysis dashboards that leverage Newton's mathematical processing power. For instance, an application could use the API to run a complex simulation and visualize the results within a custom user interface, without requiring direct interaction with the Newton web platform itself.

Newton distinguishes itself in scenarios requiring both computational rigor and clear presentation. It excels when there is a need to share complex mathematical models or data analyses with peers, students, or stakeholders who may benefit from an interactive and well-documented format. Its focus on collaborative features allows multiple users to work on the same notebook simultaneously, track changes, and provide feedback, which is beneficial for team-based research or educational settings. In comparison to more general-purpose data science notebooks like Jupyter Notebooks, Newton positions itself with a specialized emphasis on mathematical computation and education-focused features. Similarly, while Wolfram Mathematica offers extensive computational capabilities, Newton's web-first, collaborative approach and API integration can appeal to users seeking an accessible, embeddable solution.

Key features

• Interactive Math Notebooks: A web-based environment to combine code, equations, text, and visualizations for dynamic mathematical exploration and documentation.
• Scientific Computing Engine: Provides capabilities for numerical analysis, symbolic computation, and various mathematical operations.
• Data Visualization Tools: Built-in functionalities to generate plots, charts, and diagrams directly from computational results.
• Collaborative Editing: Allows multiple users to work on the same notebook simultaneously, with real-time updates and version control.
• Programmatic API: Offers RESTful endpoints for integrating Newton's computational engine and notebook features into custom applications or workflows.
• Content Export Options: Supports exporting notebooks to various formats such as PDF, HTML, or Markdown for wider dissemination.
• Version History and Snapshots: Tracks changes made to notebooks, enabling users to revert to previous states or review modifications.
• Customizable Workspaces: Users can configure their environment to suit specific project requirements or personal preferences.

Pricing

Newton offers a free tier for basic usage, with paid plans providing expanded features and higher usage limits. Pricing is structured on a per-user, per-month basis.

Pricing as of 2026-05-28. For the most current and detailed pricing information, refer to the Newton pricing page.

Common integrations

While Newton's API allows for broad integration possibilities, its primary integration points often involve embedding its computational and visualization capabilities within other platforms or automating workflows.

• Custom Web Applications: Developers can use the Newton API to embed interactive mathematical components or data visualizations into their own web services and portals.
• Learning Management Systems (LMS): Integration with platforms for educational content delivery, allowing interactive math exercises to be served directly within courses.
• Research Data Platforms: Connecting with scientific data repositories or analysis pipelines to fetch data for computation and visualize results within Newton.
• Reporting and Analytics Tools: Automating the generation of reports or dashboards that include complex mathematical models processed by Newton.
• Workflow Automation Platforms: Utilizing the API with tools like Tray.io to automate tasks involving mathematical computations or data processing (for example, triggering a computation when new data is available).
• Cloud Storage Services: Integrating with services like Google Drive or Dropbox for storing and retrieving notebook files and related datasets.

Alternatives

• Jupyter Notebook: An open-source web application for creating and sharing documents that contain live code, equations, visualizations, and narrative text.
• Wolfram Mathematica: A computational software program used in scientific, engineering, and mathematical fields, providing a wide range of functions for symbolic and numerical computation.
• Deepnote: A collaborative data science notebook platform designed to simplify data analysis and machine learning workflows with real-time collaboration.
• Google Colaboratory: A free cloud-based Jupyter notebook environment that runs entirely in the cloud, offering access to GPUs and TPUs.
• MATLAB: A proprietary multi-paradigm programming language and numerical computing environment developed by MathWorks, often used for matrix manipulations, function plotting, and algorithm implementation.

Getting started

To interact with the Newton API, you would typically make HTTP requests to its endpoints. The following example demonstrates a hypothetical API call to perform a simple calculation, assuming you have an API key and the necessary endpoint details. This might involve sending a JSON payload with the mathematical expression to be evaluated and receiving the result.

While specific API commands vary, a common pattern involves authenticating with an API key, sending a POST request to a computation endpoint, and parsing the JSON response. For detailed API reference and authentication methods, developers should consult the Newton API documentation.

import requests
import json

API_KEY = "YOUR_NEWTON_API_KEY"
API_ENDPOINT = "https://api.newton.so/v1/compute"

headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

# Example: Calculate the value of pi times 2
payload = {
    "expression": "pi * 2",
    "output_format": "json"
}

try:
    response = requests.post(API_ENDPOINT, headers=headers, data=json.dumps(payload))
    response.raise_for_status() # Raise HTTPError for bad responses (4xx or 5xx)
    
    result = response.json()
    print("Computation Result:")
    print(json.dumps(result, indent=2))

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

This Python example illustrates how to send a mathematical expression to a hypothetical Newton API endpoint for evaluation. The payload contains the expression "pi * 2" and specifies a JSON output format. The response is then parsed to display the computed result. Replace YOUR_NEWTON_API_KEY and the API_ENDPOINT with your actual credentials and the correct endpoint from the Newton documentation.