Metadata-Version: 2.4
Name: jupyter-express
Version: 1.0.0
Summary: AI-powered Python coding agent for Jupyter Notebooks
Author: Ruslan Jabrayilov
Author-email: contact@jupyter-express.com
License: MIT License
        
        Copyright (c) 2026 Ruslan Jabrayilov
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Homepage, https://jupyter-express.com
Project-URL: License, https://jupyter-express.com/wp-content/uploads/2026/06/LICENSE.txt
Keywords: jupyter,ai,notebook,agent,claude,coding assistant
Classifier: Development Status :: 4 - Beta
Classifier: Framework :: Jupyter
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: requests>=2.28.0
Requires-Dist: ipython>=7.0.0
Requires-Dist: pandas>=1.3.0
Requires-Dist: numpy>=1.21.0
Requires-Dist: platformdirs>=3.0.0
Dynamic: license-file

# Jupyter Express

**AI-powered Python coding agent that lives _inside_ your Jupyter Notebooks.**

Describe what you want in plain language and get ready-to-run Python code right in your Jupyter Notebook. You decide whether to run, edit or discard it, giving you complete control of your workflow.

<br>

---

## Installation

Open a terminal and run the following command:

```bash
pip install jupyter-express
```

<br>

---

## Quick Start

Open a Jupyter Notebook and run the following commands in any cell:

```python
import jupyter_express
```

```python
%run_jupyter_express
```
<br>

A prompt widget will appear. Type your request, for example:

- *"Plot a bar chart of sales by region"*
- *"Clean nulls from df and save to df_clean"*
- *"Train a random forest on X_train and y_train and print accuracy"*

The agent then generates the code, and inserts it into a new cell above, ready to run.

<br>

---

## Features

- **Context-aware** — before generating code, the agent analyzes the variables and dataframe columns present in your notebook, without you having to describe it. **Note:** Jupyter Express _never_ sees your actual data; it only analyzes the _names_ of your variables and dataframe columns.
- **@ autocomplete** — type `@` to browse and insert variable or column names directly into your prompt
- **Prompt history** — press `↑` / `↓` in the widget to cycle through, remix and reuse previous prompts
- **Persistent Agent Memory per notebook** — remembers the last 15 prompts and responses within a notebook session, so follow-up prompts work naturally. The memory is resistant to kernel restarts and crashes, meaning you can pick up exactly where you left off each time. 

<br>

---

## Requirements

- Python 3.7+
- Jupyter Notebook (classic)
- Active internet connection (AI runs on a cloud backend)

<br>

---

## Token Usage

On first use, a free trial is automatically activated whereby **25,000 tokens** are assigned to each user without any sign-up. Tokens are consumed per request based on prompt and response length.

When your free tokens run out, a personalized link will be provided to you in the interface, which will take you straight to our website for top-up options

<br>

---

## License

MIT License — see [LICENSE](https://jupyter-express.com/wp-content/uploads/2026/06/LICENSE.txt) for details.
