neural VS gpt-vim

Compare neural vs gpt-vim and see what are their differences.

neural

AI Vim/Neovim code generation plugin (OpenAI, ChatGPT, and more) (by dense-analysis)
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neural gpt-vim
12 6
404 57
2.7% -
6.9 8.3
4 months ago 4 months ago
Vim Script Vim Script
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

neural

Posts with mentions or reviews of neural. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-20.

gpt-vim

Posts with mentions or reviews of gpt-vim. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-20.

What are some alternatives?

When comparing neural and gpt-vim you can also consider the following projects:

neoai.nvim - Neovim plugin for intracting with GPT models from OpenAI

ai.vim - Generate and edit text in Neovim using OpenAI and GPT.

ChatGPT.nvim - ChatGPT Neovim Plugin: Effortless Natural Language Generation with OpenAI's ChatGPT API

vim_codex - Supercharge your Vim editor with AI-powered code completion using OpenAI Codex. Boost productivity and save time with intelligent suggestions.

ai-computing-assistant - Coeus is an A.I. Computing Assistant for MacOS that can answer just about any question you may have reading back the responses if you choose. It also creates realtime images using A.I., all by leveraging the OpenAI API.

codeium.vim - Free, ultrafast Copilot alternative for Vim and Neovim

cursor - The AI-powered code editor

gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.