Open Interpreter
★ 68.6k
vs
codeinterpreter-api
★ 3.8k
Open Interpreter vs codeinterpreter-api
Open Interpreter: Open Interpreter is a terminal coding agent optimized for low-cost and open models. It is a fork of OpenAI's Codex that can emulate other agent harnesses (such as Claude Code, Kimi Code or Qwen Code) to get the best results from each model, runs commands in native sandboxes on macOS, Linux and Windows, and works with ACP-compatible editors and the Codex SDK.; codeinterpreter-api: This project provides a LangChain implementation of the ChatGPT Code Interpreter, enabling sandboxed Python code execution via CodeBoxes. It allows for advanced data analysis, charting, and file manipulation, with support for local execution and scalable production deployments.
01
TL;DR
Open InterpreterCode Assistant · ★ 68.6k
When to choose:
- You want a fast Rust-based terminal coding agent (Apache-2.0) that squeezes better results out of low-cost and open-weights models via harness emulation.
- You want native OS sandboxing (Seatbelt on macOS, Landlock+bubblewrap on Linux, AppContainer on Windows) and support for AGENTS.md, skills, and MCP.
When to skip:
- You are looking for the old Python `pip install open-interpreter` library from 2023–2024; the project has been completely rewritten as a Rust fork of Codex.
- You just want a free-tier official Gemini agent without configuring endpoints and harnesses; Gemini CLI is simpler.
codeinterpreter-apiCode Assistant · ★ 3.8k
Interactive Data Science: Analyze and visualize datasets on the fly, similar to a data scientist assistant.
02
Side-by-Side Comparison
Field
Open Interpretercodeinterpreter-apiCategory
Code Assistant
Code Assistant
Stars
★ 68.6k
★ 3.8k
License
Apache-2.0
MIT
Install Command
curl -fsSL https://www.openinterpreter.com/install | sh
pip install "codeinterpreterapi[all]"
Updated
1w ago
1y ago
Open Source
Yes
Yes
Tags
LLM, Code Execution, AI Agent
Python, LangChain, Code Interpreter
03
Features
Open Interpreter01Switch between emulated agent harnesses (native, Claude Code, Kimi Code, Qwen Code, SWE-agent and more) with /harness
02Native command sandboxing on macOS, Linux and Windows
03Switch providers and models from the TUI, including any OpenAI-compatible endpoint
04Runs as an Agent Client Protocol (ACP) agent for editors and as a drop-in for the Codex SDK
05Supports MCP, skills, hooks, permissions and shared AGENTS.md instructions
codeinterpreter-api01Dataset Analysis & Charting: Perform complex data analysis and generate various charts (e.g., stock charting).
02Internet Access & Auto Package Install: Access the internet and automatically install necessary Python packages within the sandboxed environment.
03Multimodal I/O: Process both text and file inputs, and return text along with generated files (e.g., images).
04Conversation Memory: Maintain context across interactions for coherent multi-turn conversations.
05Local Execution Support: Run the core interpreter logic locally, minimizing external dependencies except for the LLM API.
04
Use Cases
Open Interpreter↳Getting strong coding-agent results from inexpensive or open models such as Kimi, GLM, Qwen or DeepSeek
↳Using one terminal agent across several model providers without changing tools
↳Testing web and native apps with the built-in QA skill
codeinterpreter-api↳Interactive Data Science: Analyze and visualize datasets on the fly, similar to a data scientist assistant.
↳Automated Report Generation: Generate reports or charts based on user prompts and attached data files.
↳LLM-powered Tooling: Enhance Large Language Models with dynamic code execution capabilities for complex problem-solving.
05
Best For
Open InterpreterMost PopularEssentialTrending
codeinterpreter-api—
FAQ
FAQ
What is the difference between Open Interpreter and codeinterpreter-api?
Both Open Interpreter and codeinterpreter-api are in the Code Assistant category. Open Interpreter has 68.6k stars, while codeinterpreter-api has 3.8k stars.
Which is better, Open Interpreter or codeinterpreter-api?
The best choice depends on your use case. Choose Open Interpreter if Getting strong coding-agent results from inexpensive or open models such as Kimi, GLM, Qwen or DeepSeek, and codeinterpreter-api if Interactive Data Science: Analyze and visualize datasets on the fly, similar to a data scientist assistant..
Is Open Interpreter free or open source?
Yes, Open Interpreter is open source on GitHub (Apache-2.0).
Is codeinterpreter-api free or open source?
Yes, codeinterpreter-api is open source on GitHub (MIT).
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