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  1. Stackups
  2. AI
  3. Text & Language Models
  4. Chatgpt Tools
  5. ChatGPT for Google vs IPython-GPT

ChatGPT for Google vs IPython-GPT

OverviewComparisonAlternatives

Overview

ChatGPT for Google
ChatGPT for Google
Stacks10
Followers17
Votes0
IPython-GPT
IPython-GPT
Stacks0
Followers0
Votes0
GitHub Stars589
Forks40

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Detailed Comparison

ChatGPT for Google
ChatGPT for Google
IPython-GPT
IPython-GPT

It is a browser extension to display ChatGPT response alongside Google (and other search engines) results, supports Chrome/Edge/Firefox.

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 response alongside search engine results; Supported Search Engines are: Google, Baidu, Bing, DuckDuckGo, Brave, Yahoo, Naver, Yandex, Kagi, Searx
Use ChatGPT directly from Jupyter or IPython Shell; Standalone, no external dependencies required
Statistics
GitHub Stars
-
GitHub Stars
589
GitHub Forks
-
GitHub Forks
40
Stacks
10
Stacks
0
Followers
17
Followers
0
Votes
0
Votes
0
Integrations
Google
Google
ChatGPT
ChatGPT
ChatGPT
ChatGPT
Jupyter
Jupyter
IPython
IPython

What are some alternatives to ChatGPT for Google, IPython-GPT?

ChatGPT for VSCode

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 Desktop

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.

ChatGPT for Search Engines

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.

SupportGPT

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.

Databerry

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.

Chat Thing

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.

Code Interpreter API

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

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.

CodeGPT.nvim

CodeGPT.nvim

It is a plugin for Neovim that provides commands to interact with ChatGPT. The focus is on code related usage. So code completion, refactorings, generating docs, etc.

chatgpt-shell

chatgpt-shell

It is an experimental proof-of-concept shell that allows users to interact with ChatGPT within the Emacs text editor.

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