# SkalskiP/awesome-chatgpt-code-interpreter-experiments

Awesome things you can do with ChatGPT + Code Interpreter combo 🔥

Repository: https://github.com/SkalskiP/awesome-chatgpt-code-interpreter-experiments
Canonical: https://ross.abutalabs.com/products/awesome-chatgpt-code-interpreter-experiments
License Family: other
Topics: chatbot, code-interpreter, language, agent, computer-vision, jailbreak
Last push: 2023-12-10T09:19:39+00:00

## Health v2 (maintenance only)
Score: 29/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 82
- inputs: {"age_days": 1152, "days_push": 997, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1014, forks 59 (observed 2026-08-28T04:03:13.823344+00:00)

## What it is
A curated awesome-list of experiments showcasing what is possible with ChatGPT combined with the Code Interpreter plugin. It collects prompts, tips, limitations, and jailbreak techniques such as installing external packages or accessing the system prompt.

## Use cases
- find cool things to do with chatgpt code interpreter
- learn prompt tricks for code interpreter
- how to install python packages in chatgpt code interpreter
- examples of chatgpt data analysis experiments
- bypass code interpreter limitations
- get chatgpt code interpreter system prompt

## When to choose
- You want inspiration and ready-made prompt ideas for ChatGPT's Code Interpreter
- You want to learn workarounds for Code Interpreter's sandbox limitations
- You are exploring what LLM code execution can do

## When to avoid
- You need runnable open-source software rather than a curated list of prompts
- You use a different LLM or code execution environment
- You need up-to-date information, as the project was last updated in 2023

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: prompt-engineering, developer-tools, data-science
- domain: large-language-models, tutorials, artificial-intelligence
- platform: -
- tags: awesome-list, chatgpt, code-interpreter, jailbreaks, experiments, web-server

## Member repositories
- SkalskiP/awesome-chatgpt-code-interpreter-experiments (main) score 29

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:13.823344+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:11:31.103498+00:00, confidence not recorded.
  - readme: https://github.com/SkalskiP/awesome-chatgpt-code-interpreter-experiments (fetched 2026-08-28T04:03:13.823344+00:00, sha 822f68e7b67f)
- Data as of 2026-08-30T08:39:29.467469+00:00.