watchr VS lrt

Compare watchr vs lrt and see what are their differences.

watchr

watchr - file watcher in Go that triggers predefined actions on detected files modifications (by bartekrutkowski)

lrt

lrt is a live reloading tool for go http servers (by superhuman)
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watchr lrt
1 2
3 17
- -
0.0 0.0
over 3 years ago over 1 year ago
Go Go
BSD 3-clause "New" or "Revised" 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.

watchr

Posts with mentions or reviews of watchr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-16.
  • Go 1.16 Release Notes
    13 projects | news.ycombinator.com | 16 Feb 2021
    Shameless self plug, but I've had that itch and decided to scratch it with a tool[0] that would be universal and not limited to Go - albeit written in it ;)

    [0] https://github.com/bartekrutkowski/watchr

lrt

Posts with mentions or reviews of lrt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-30.
  • Air – Live reload when developing with Go
    6 projects | news.ycombinator.com | 30 Jul 2021
  • Go 1.16 Release Notes
    13 projects | news.ycombinator.com | 16 Feb 2021
    To do this well (for servers, which is the most common case) you need to keep the port open (and delay requests while recompilation is in progress) or clients can see transient errors. So it's probably not a language level concern, but a protocol level one (it's very solvable for HTTP for example).

    I built https://github.com/superhuman/lrt which tries to solve this problem in a go-like way (no configuration required, minimal log noise, and reliability/simplicity as the primary design goals) for Superhuman.

What are some alternatives?

When comparing watchr and lrt you can also consider the following projects:

modd - A flexible developer tool that runs processes and responds to filesystem changes

golang-docker-cache - Improved docker Golang module dependency cache for faster builds.

xid - Parse unicode identifiers

reflex - Run a command when files change

gin - Live reload utility for Go web servers