codeinterpreter-api
Open source implementation of the ChatGPT Code Interpreter
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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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 (682d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
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 · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
Get your OpenAI API Key [here](https://platform.openai.com/account/api-keys) and install the packagSource link
Source: README excerpt (regex_v1, Sep 20, 2026)
pip install "codeinterpreterapi[all]"Source link
Tags
README
Installation Get your OpenAI API Key here and install the package. Everything for local experiments are installed with the extra. For deployments, you can use instead which does not install the additional dependencies.
For agents
This page has a .md twin and JSON over the API.