7 Best ChatGPT for Jupyter Alternatives in 2026 (Open Source)
ChatGPT for Jupyter — A browser extension to provide various AI helper functions in Jupyter Notebooks, powered by ChatGPT. vs external ChatGPT tab: seamless in-notebook integration as browser extension with voice commands — but archived in favor of jupyter-ai as the recommended alternative
Short answer
- Closest match to ChatGPT for Jupyter: Jupyter AI.
- Most actively developed: Codex (3,826 commits in the last 90 days).
- Fastest growing: Codex (+9,462 GitHub stars in the last 30 days).
- No commit in 6+ months: GPT-Code, Code Interpreter API, TermGPT and Taxy AI.
These 7 open-source tools do the same job. They are ordered by how closely they match ChatGPT for Jupyter, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| ChatGPT for Jupyter(original) | 309 | 0 | 2023-09-28 |
| Jupyter AI | 4.4k | +40 | 2026-10-01 |
| GPT-Code | 3.5k | -6 | 2023-07-29 |
| Code Interpreter API | 3.8k | -2 | 2024-11-07 |
| Open Interpreter | 68.5k | +890 | 2026-10-02 |
| TermGPT | 412 | -1 | 2023-06-04 |
| Codex | 127.6k | +9,462 | 2026-10-02 |
| Taxy AI | 1.3k | +1 | 2025-01-15 |
1. Jupyter AI
A generative AI extension for JupyterLab
What sets it apart: Official JupyterLab extension that brings AI directly into the notebook workflow with a magic command (%%ai) — unlike standalone AI tools, it's integrated into the data science environment where work actually happens
Best for: Data scientists wanting AI assistance directly in Jupyter notebooks; Teams already using JupyterLab who want integrated LLM access
2. GPT-Code
An open source implementation of OpenAI's ChatGPT Code interpreter
What sets it apart: vs ChatGPT Code Interpreter / Open Interpreter: self-hosted open-source web UI for AI code generation and execution — own your data and conversations without ChatGPT Plus subscription
Best for: Self-hosted Code Interpreter alternative; Data analysis and visualization with AI assistance; Document processing and automation scripting
3. Code Interpreter API
👾 Open source implementation of the ChatGPT Code Interpreter
What sets it apart: vs raw LangChain code execution: sandboxed Code Interpreter replica with file I/O and conversation memory — the closest open-source implementation of ChatGPT's Code Interpreter feature
Best for: Developers wanting open-source ChatGPT Code Interpreter functionality; Data analysis automation with file input/output; Building code execution agents with sandboxed safety
4. Open Interpreter
A natural language interface for computers
What sets it apart: vs ChatGPT Code Interpreter: runs locally with full internet access, no file size limits, any package available, and persistent state
Best for: Power users wanting natural language control of their computer; Rapid prototyping and data analysis via conversational coding
5. TermGPT
Giving LLMs like GPT-4 the ability to plan and execute terminal commands
What sets it apart: vs Open Interpreter / Claude Code: minimal proof-of-concept terminal AI with mandatory human review step — demonstrates core concept of LLM-to-terminal bridge with safety guardrail
Best for: Developers wanting AI-assisted terminal automation with human review; Quick prototyping and code generation from natural language; Learning how LLMs can interface with system terminals
6. Codex
Lightweight coding agent that runs in your terminal
What sets it apart: Unlike Claude Code (Anthropic-only), Codex uniquely integrates with existing ChatGPT subscriptions and offers both CLI and cloud-based (Codex Web) agent variants
Best for: OpenAI ecosystem users wanting a terminal-first coding agent with ChatGPT plan integration; Teams already paying for ChatGPT Enterprise who want CLI-based code automation
7. Taxy AI
Automate your browser with GPT-4
What sets it apart: Chrome extension using GPT-4 to parse simplified DOM and execute click/setValue actions for natural language browser automation
Best for: ai-browser-automation-research; repetitive-browser-task-automation; web-interaction-prototyping
FAQ
- What are the best alternatives to ChatGPT for Jupyter?
- The closest open-source alternatives to ChatGPT for Jupyter are Jupyter AI, GPT-Code and Code Interpreter API, followed by Open Interpreter, TermGPT and Codex. They are ranked by how closely they match what ChatGPT for Jupyter does.
- Which ChatGPT for Jupyter alternative is the most popular?
- Codex has the most GitHub stars among ChatGPT for Jupyter alternatives, with 127,598 stars.
- Which ChatGPT for Jupyter alternative is the most actively maintained?
- By recent activity, Codex (3,826 commits in the last 90 days) is the most actively developed alternative.