codeinterpreter-api
Open source implementation of the ChatGPT Code Interpreter
GraphCanon updated 1w · GitHub synced 1w
Decision brief
codeinterpreter-api is an open-source tool for interfacing with ChatGPT's Code Interpreter, supporting local experiments and deployments with Python.
Good fit when
- Need an open-source interface for ChatGPT Code Interpreter to conduct Python-based local experiments.
- Wish to avoid proprietary constraints in AI development and prefer community-driven updates.
Avoid when
- Require full customization beyond what the open-source community provides.
- Already committed to a different ecosystem that doesn't align well with this specific API implementation.
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (646d since push)
- As of 1w
- Provenance
- Not a fork · Personal account
- As of 1w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install codeinterpreter-api PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Python-based open-source project providing an interface for the ChatGPT Code Interpreter, designed to support both local experiments and deployment scenarios.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 15, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 15, 2026)
Get your OpenAI API Key [here](https://platform.openai.com/account/api-keys) and install the packagSource link
Source: README excerpt (regex_v1, Aug 15, 2026)
pip install "codeinterpreterapi[all]"Source link
Tags
README
Installation
Get your OpenAI API Key here and install the package.
pip install "codeinterpreterapi[all]"
Everything for local experiments are installed with the all extra.
For deployments, you can use pip install codeinterpreterapi instead which does not install the additional dependencies.
For agents
This page has a .md twin and JSON over the API.