helix VS xi-editor

Compare helix vs xi-editor and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
helix xi-editor
405 42
30,031 19,807
5.0% 0.1%
9.9 2.6
1 day ago about 1 month ago
Rust Rust
Mozilla Public License 2.0 Apache License 2.0
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.

helix

Posts with mentions or reviews of helix. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-19.

xi-editor

Posts with mentions or reviews of xi-editor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-24.

What are some alternatives?

When comparing helix and xi-editor you can also consider the following projects:

kakoune - mawww's experiment for a better code editor

alacritty - A cross-platform, OpenGL terminal emulator.

lapce - Lightning-fast and Powerful Code Editor written in Rust

iota - A terminal-based text editor written in Rust

neovim - Vim-fork focused on extensibility and usability

micro-editor - A modern and intuitive terminal-based text editor

Servo - Servo, the embeddable, independent, memory-safe, modular, parallel web rendering engine

copilot.vim - Neovim plugin for GitHub Copilot

kakoune.el - A very simple simulation of the kakoune editor inside of emacs.

rust-tools.nvim - Tools for better development in rust using neovim's builtin lsp

rust-genetic-algorithm - A genetic algorithm for bechmark problems, written to learn Rust.