---
id: open-interpreter
version: "0.4.3"
license: unclear
license_treatment: unclear
maintenance: dormant
---

# open-interpreter — Let language models run code

License: unclear · Maintenance: dormant · Downloads: 222.4K/mo

## What it is and what it does

Open Interpreter is a Python package that bridges language models and your local machine by letting an LLM write and execute code (Python, JavaScript, Shell, and more) in response to natural-language requests. You interact with it through a ChatGPT-like terminal interface or programmatically via Python; before any code runs, you must approve it. This gives an LLM access to your computer's general capabilities—file manipulation, browser automation via Chrome, data analysis, image and video editing—without uploading data to a hosted service.

The package depends on 32 runtime libraries including nltk, pydantic, litellm (for multi-LLM support), selenium and webdriver-manager (for browser control), matplotlib (for plotting), and jupyter-client (for code execution). It supports Python 3.9 through 3.12 and can run against OpenAI, Anthropic, or any OpenAI-compatible local inference server. The main trade-off is that you grant the LLM significant local execution privileges, mitigated only by the approval step.

Use it for:

- Automate data cleaning and analysis by describing the task in natural language instead of writing Python
- Control a web browser to scrape, research, or fill forms without writing Selenium code directly
- Generate and edit media files (photos, videos, PDFs) by describing the desired output
- Prototype and debug code interactively by chatting with an LLM that can run and iterate on your scripts
- Run computationally intensive tasks locally without uploading sensitive data to a cloud API

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Open Interpreter lets language models execute code (Python, JavaScript, Shell) locally on your machine through a natural-language chat interface, with user approval required before each command runs.

Yes, with conditions. Install if you want a natural-language interface to local code execution and can accept the security model (user approval before each command). However, the package is dormant (no releases in 657 days), carries an unclear license, and depends on 32 libraries—audit the license and dependencies before use in production or proprietary work. Not suitable if you need active maintenance or a stable, well-documented API.

## Install

pip install open-interpreter
uv add open-interpreter
poetry add open-interpreter

## Installing open-interpreter

Before you install: Low install friction with a pure-Python wheel. The package is dormant (657 days since last release) and carries 32 runtime dependencies including heavy libraries like selenium, matplotlib, and jupyter-client, which may slow initial setup and increase the attack surface.

License in practice: License treatment is unclear—no SPDX identifier or raw license text is available in the metadata. Verify the actual license before using in proprietary or commercial contexts.

Quickstart:

pip install open-interpreter

from interpreter import interpreter
interpreter.chat("Plot AAPL and META's normalized stock prices")

Requires Python 3.9 or later. An LLM API key (OpenAI, Claude, or compatible local server) must be configured; the package does not work offline without additional setup.

Verify before relying:

- Whether dormant status (657 days since release) indicates active maintenance or abandonment
- Actual license identifier and terms (metadata shows 'unclear')
- Security implications of 32 runtime dependencies, especially selenium and webdriver-manager
- Whether all 32 dependencies are truly required at runtime or if some are optional

## Package facts

- License: not declared (unclear)
- Python support: supports_current
- Install friction: low
- Maintenance: dormant
- Downloads: 222.4K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

llm code execution local, natural language programming interface, ai run code on computer, chatgpt code interpreter alternative, language model shell access, code-execution, llm-integration, automation

[View on SkillFed](https://skillfed.io/packages/open-interpreter) · [View on PyPI](https://pypi.org/project/open-interpreter/)