chatgpt-shell vs IPython-GPT
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is an experimental proof-of-concept shell that allows users to interact with ChatGPT within the Emacs text editor. | This extension allows you to use ChatGPT directly from your Jupyter Notebook or IPython Shell. It is standalone and no external dependencies are required. |
ChatGPT Emacs shell;
Basic code highlighting | Use ChatGPT directly from Jupyter or IPython Shell;
Standalone, no external dependencies required |
Statistics | |
GitHub Stars 1.2K | GitHub Stars 589 |
GitHub Forks 103 | GitHub Forks 40 |
Stacks 0 | Stacks 0 |
Followers 2 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to chatgpt-shell, IPython-GPT?
ChatGPT for Google
It is a browser extension to display ChatGPT response alongside Google (and other search engines) results, supports Chrome/Edge/Firefox.
ChatGPT for VSCode
This extension allows you to use the unofficial ChatGPT API to generate natural language responses from OpenAI's ChatGPT to your questions, right within the editor.
ChatGPT for Search Engines
Access the ChatGPT language model directly from your search engine results to ask any question and get a natural language response. Supported search engines are Google, Bing, and DuckDuckGo.
ChatGPT Desktop
It works like a Telegram bot command and helps you quickly populate custom models to make ChatGPT work the way you want it to.
Chat Thing
It provides a way to create an AI chatbot powered by ChatGPT using your existing data from Notion, uploaded files, websites, and more.
Databerry
Create a custom AI chatbot trained on your data in seconds. Streamline customer support, onboard new team members, and more. It is made for ChatGPT users, developers, low-coders, and no-coders.
SupportGPT
It is a generative AI platform for customer support. It leverages Large Language Models—the same technology behind OpenAI’s ChatGPT—and fine-tunes them on your customers’ conversation history.
Code Interpreter API
It is an open-source implementation of the ChatGPT Code Interpreter. It uses LangChain Agents and CodeBox to interpret code.
Bito AI
Codebase intelligence for AI coding and reviews. Bito builds AI developer tools for teams working with complex codebases. At the Bito’s core is AI Architect. It’s a codebase intelligence server that runs locally or in Docker to create a dynamic knowledge graph of your codebase. It learns how systems actually fit together, instead of treating it as disconnected files. That intelligence powers AI coding workflows and code reviews across coding agents, pull requests, and IDEs. Use Bito’s AI Architect via MCP or deploy AI Code Reviews directly in GitHub, GitLab, and Bitbucket. No code is stored. No model is trained. SOC 2 Type II certified.
ChatGPT AutoExpert
It is a shockingly effective set of custom instructions aimed at enhancing the capabilities of GPT-4 and GPT-3.5-Turbo conversational models. These instructions maximize the depth and nuance in responses while minimizing general disclaimers and hand-holding.
