heappy VS goimports

Compare heappy vs goimports and see what are their differences.

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heappy goimports
2 47
22 7,238
- 0.7%
8.5 9.8
3 days ago 6 days ago
Rust Go
Apache License 2.0 BSD 3-clause "New" or "Revised" 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.

heappy

Posts with mentions or reviews of heappy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-18.
  • Why Not Rust?
    4 projects | news.ycombinator.com | 18 Dec 2021
    > But, for example, some runtime-related tools (most notably, heap profiling) are just absent — it’s hard to reflect on the runtime of the program if there’s no runtime!

    Yeah; I felt that pain too.

    I tried to write something to address some parts of the missing space. It's still in the early stages but you may be interested:

    https://github.com/mkmik/heappy

  • Go 1.17 Is Released
    12 projects | news.ycombinator.com | 16 Aug 2021
    I hate to be "that guy" too, but coming from somebody who really likes Rust and is using it more and more (also at $dayjob now) we must admit that Go tooling is one step ahead. CPU profiler, allocation and heap profiler, lock contention profiler. It all comes out of the box.

    Yes you have cargo flamegraph for profiling locally and you now have pprof-rs to mimick Go's embedded pprof support. But allocation heap profiling is still something I struggle with.

    I saw there was a pprof-rs PR with a heap profiler but there was some doubt as to whether it worked correctly; to get a feeling of how that approach would work but without having to fork pprof-rs I implemented the https://github.com/mkmik/heappy crate which I can use to produce memory allocation flamegraphs (using the same "go tool pprof" tooling!) in real code I run and figure out if it works in practice before pushing it upstream.

    But stuff you give for granted like figuring out which structure accounts for most used memory, is very hard to achieve. The servo project uses an internal macro that help you trace the object sizes but it's hard to use outside the servo project.

    The GC makes some things very easy, and it's not just about programmers not having to care about memory; it's also that the same reference tracing mechanism used to implement GC can be used to cheaply get profiling information.

goimports

Posts with mentions or reviews of goimports. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-07.

What are some alternatives?

When comparing heappy and goimports you can also consider the following projects:

bytehound - A memory profiler for Linux.

gofumpt - A stricter gofmt

textot.rs - Text operational transform library, for rust. Compatible with libot, ottypes/text.

nvim-lspconfig - Quickstart configs for Nvim LSP

memory-profiler - A memory profiler for Linux. [Moved to: https://github.com/koute/bytehound]

goreturns - A gofmt/goimports-like tool for Go programmers that fills in Go return statements with zero values to match the func return types

GoLint - [mirror] This is a linter for Go source code. (deprecated)

staticcheck

golines - A golang formatter that fixes long lines

go-checkstyle - checkstyle for go

Go Metalinter

GoCover.io - GoCover.io offers the code coverage of any golang package as a service.