abracadabra VS tabnine-vscode

Compare abracadabra vs tabnine-vscode and see what are their differences.

tabnine-vscode

Visual Studio Code client for Tabnine. https://marketplace.visualstudio.com/items?itemName=TabNine.tabnine-vscode (by codota)
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abracadabra tabnine-vscode
5 1
730 1,340
- 0.7%
8.8 9.4
about 1 month ago 11 days ago
TypeScript TypeScript
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.

abracadabra

Posts with mentions or reviews of abracadabra. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-15.

tabnine-vscode

Posts with mentions or reviews of tabnine-vscode. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-21.
  • Understanding AI for coders: Tabnine (your alternative to GitHub Copilot)
    6 projects | news.ycombinator.com | 21 Jun 2022
    Both are related to limitations of vscode completion engine, so Tabnine can't really blamed for them in any way.

    1. Initially Tabnine's auto-completion was triggered on any character, which best leveraged Tabnine's power but also had inherent problem: when Tabnine was triggered on non-letter character it sometimes prevented Vscode from showing suggestions from other completion sources (LSPs, snippets). There is a discussion in https://github.com/codota/tabnine-vscode/issues/6 with me explaining that the only viable solution is to reduce set of trigger characters to letters only. In the end a fix was pushed that reduced the set of trigger characters, which made the problem less likely but still not solved. The are numerous duplicates of this issue on Github.

    2. Another problem is when Vscode has auto-completion suggestions from Tabnine and other sources (LSP, snippets), it frequently puts Tabnine's at the top of list. This is a big no-go for me because most of the time just want to complete the identifier (class field, method etc.). Modifying just the extension code didn't help so in the end I had add a small patch to Vscode itself, which gives lowest score to Tabnine's candidates: https://github.com/sergei-dyshel/vscode/commit/ee73034b9ec6c....

    I must admit that both problems can be practically solved by new "inline auto-completion" mechanism in vscode which looks very promising for AI-based completion in general. I'm looking forward to evaluate it.

What are some alternatives?

When comparing abracadabra and tabnine-vscode you can also consider the following projects:

vscode-glean - The extension provides refactoring tools for your React codebase

vscode-plugin - Kite Autocomplete Plugin for Visual Studio Code

vscode-live-server - Launch a development local Server with live reload feature for static & dynamic pages.

cpk - Light and fast package manager on C/C++ for C/C++/Python/Rust/Js packages

vscode-cpptools - Official repository for the Microsoft C/C++ extension for VS Code.

lsp-mode - Emacs client/library for the Language Server Protocol

astx - Super powerful structural search and replace for JavaScript and TypeScript to automate your refactoring

useful-java-links - A list of useful Java frameworks, libraries, software and hello worlds examples

js-assistant - 120+ refactorings and code-assists for Visual Studio Code

arl - lists of most popular repositories for most favoured programming languages (according to StackOverflow)

readable-vscode - Readable is a VSCode extension which generates comments using Ai.

vscode-plugin - VS Code plugin that suggests code blocks as you type and check for errors. Works for JavaScript, TypeScript, Python, Java, Scala, Ruby, PHP, Apex, Docker