Chapyter

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Chapyter is a Coding & Development tool that connects GPT-4 to Jupyter Notebooks for natural language programming. It features a code interpreter that translates natural language into Python code and automatically executes it.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is chapyter?

Chapyter is a JupyterLab extension designed to seamlessly integrate GPT-4 into your coding environment, enabling natural language programming. It functions as a code interpreter, translating natural language descriptions of tasks into executable Python code and automatically running it within Jupyter Notebooks. This integration significantly boosts productivity by allowing users to generate and execute code using simple text commands, leveraging coding history and execution outputs for more accurate generations. Chapyter also supports in-situ debugging and code editing, ensuring a smooth workflow without leaving the IDE. It prioritizes privacy by using OpenAI API data usage policies that prevent data from being saved for training, unlike some other AI coding tools.

Best used for

Ideal for developers who need to quickly generate Python code from natural language, automate code execution within Jupyter Notebooks, and debug errors efficiently. Especially valuable for those looking to boost productivity and explore new ideas without leaving their familiar IDE.

Common actions

generate code

execute code

debug code

automate tasks

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Capabilities

Key features

Natural language code generation
Automatic code execution
Uses coding history
In-situ debugging
Customizable prompts
OpenAI API data privacy

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What large language models does Chapyter support?

Chapyter primarily connects to GPT-4, but it also supports other models like gpt-3.5-turbo. Users can configure the default model and choose between the standard OpenAI API or Azure OpenAI API for their code generation tasks.

Does Chapyter use my code for training AI models?

No, Chapyter uses the OpenAI API, which adheres to OpenAI's Data Usage Policies. This means that any data sent to OpenAI through Chapyter will not be saved for training purposes, ensuring user privacy.

How do I install Chapyter?

Chapyter can be installed using pip via `pip install chapyter`. This command automatically installs the extension to JupyterLab. Note that it may upgrade JupyterLab to version 4.0 or higher, which could affect existing environments.

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