gox
Dropship
Our great sponsors
gox | Dropship | |
---|---|---|
1 | - | |
4,584 | 64 | |
- | - | |
0.0 | 0.0 | |
12 months ago | almost 6 years ago | |
Go | Go | |
Mozilla Public License 2.0 | Apache License 2.0 |
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.
gox
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Future of Rust, 2023 and beyond?
One of the biggest selling points for me when I started to use Go is cross compilation; I develop on a Mac, but run a lot of my code on a Linux EC2 instance (or been doing dev work on a Windows+WSL machine) and Go's cross compilation options (either via the built in tool or via something like gox are braindead easy. Rust's cross compilation however makes me want to drive my head thru my monitor... there are no easy ways to build a binary for Linux, Windows, AND Mac without having to dip my toes into CI services and with that comes an expense that for a hobby dev I'd prefer to not incur. Is there a brighter future for easy cross compilation with Rust?
Dropship
We haven't tracked posts mentioning Dropship yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
s3-proxy - S3 Reverse Proxy with GET, PUT and DELETE methods and authentication (OpenID Connect and Basic Auth)
go-selfupdate - Enable your Go applications to self update
GVM - Go Version Manager
grapes - easy way to distribute commands over ssh.
gonative - Build Go Toolchains /w native libs for cross-compilation
drone-jenkins - Drone plugin for trigger Jenkins jobs.
hk
dogo - Monitoring changes in the source file and automatically compile and run (restart).
goxc - a build tool for Go, with a focus on cross-compiling, packaging and deployment
Hey - HTTP load generator, ApacheBench (ab) replacement
sg - Stress gauge allows one to gauge response times of an HTTP service under stress.