{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/7"}],"enrichment":{"capability":"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.","skillfed_tags":["code-execution","llm-integration","automation"],"use_cases":["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"],"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\u2014file manipulation, browser automation via Chrome, data analysis, image and video editing\u2014without uploading data to a hosted service.\n\nThe 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.","worth_installing":"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\u2014audit the license and dependencies before use in production or proprietary work. Not suitable if you need active maintenance or a stable, well-documented API."},"id":"open-interpreter","links":{"html":"https://skillfed.io/packages/open-interpreter","md":"https://skillfed.io/packages/open-interpreter.md","pypi":"https://pypi.org/project/open-interpreter/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2024-10-26","license_spdx":null,"license_treatment":"unclear","name":"open-interpreter","python_support":"supports_current","summary":"Let language models run code"},"popularity":{"monthly_downloads":222360,"position":9265,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.4.3"}