go-json
Task
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go-json | Task | |
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24 | 113 | |
2,766 | 9,977 | |
- | 4.5% | |
3.5 | 9.6 | |
about 2 months ago | 16 days ago | |
Go | MDX | |
MIT License | MIT License |
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.
go-json
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API: Go, .NET, Rust
For go -> you can actually get away with the standard json encoding package. Or if you want a slightly better one, I prefer goccy/go-json
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Rob Pike: Gobs of data (2011)
Someone made a benchmark of serialization libraries in go [1], and I was surprised to see gobs is one of the slowest ones, specially for decoding. I suspect part of the reason is that the API doesn't not allow reusing decoders [2]. From my explorations it seems like both JSON [3], message-pack [4] and CBOR [5] are better alternatives.
By the way, in Go there are a like a million JSON encoders because a lot of things in the std library are not really coded for maximum performance but more for easy of usage, it seems. Perhaps this is the right balance for certain things (ex: the http library, see [6]).
There are also a bunch of libraries that allow you to modify a JSON file "in place", without having to fully deserialize into structs (ex: GJSON/SJSON [7] [8]). This sounds very convenient and more efficient that fully de/serializing if we just need to change the data a little.
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1: https://github.com/alecthomas/go_serialization_benchmarks
2: https://github.com/golang/go/issues/29766#issuecomment-45492...
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3: https://github.com/goccy/go-json
4: https://github.com/vmihailenco/msgpack
5: https://github.com/fxamacker/cbor
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6: https://github.com/valyala/fasthttp#faq
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7: https://github.com/tidwall/gjson
8: https://github.com/tidwall/sjson
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Data storage speed comparisons?
Drop-in replacement for the stdlib JSON package: https://github.com/goccy/go-json
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Go is 2-3 times slower than JS in a similar code. What makes Go slow in this specific code?
go stdlib json encoding/decoding is incredibly slow, not sure for how much longer because there are drop in replacements now that I think are just as strict and feature parity.
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Go with Chi has more ram consumption and less req/s than Koa or Fastify
3rd party JSON libraries could help if you were comparing JSON. https://github.com/goccy/go-json
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ogen: spec-first OpenAPI v3 codegen for Go
However, I understand the code that is generated is super optimized. For example, rather than use a router, it does a static code generated router. Rather than use goccy/go-json, it does manual marshalling.
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japi is a JSON HTTP API go library with generics
Minimal dependencies: julienschmidt/httprouter and goccy/go-json
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Using a json lib other than encoding/json
I suggested using https://github.com/goccy/go-json at my work, since its a drop in replacement for the standard lib, but there are people who apprehensive. In my opinion the performance gains are significant to justify adoption. But I'd like your input.
- Whats the fastest JSON unmarshaling package as of right now?
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What are your favorite packages to use?
go-json for encoding/decoding
Task
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Show HN: Workflow Orchestrator in Golang
So many tools in this space! This one looks a little bit like go-task, but it seems maybe better for production workflows because if timeout support, while go-task seems more aimed to command line work/makefile replacement.
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https://github.com/go-task/task
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Essential Command Line Tools for Developers
View on GitHub
- Task: A task runner / alternative to GNU Make
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Using Make – writing less Makefile
A similar tool is `task` https://taskfile.dev/ . It is quite capable and also a single executable. I've grown to quite like it.
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What’s with DevOps engineers using `make` of all things?
check out tasks - a bit of a learning curve but arguably more powerful imo
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Go Development with Hot Reload Using Taskfile
That's when I came across taskfile.dev. Task is an automation tool designed to be more accessible than other options, such as GNU Make.
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Poetry (Packaging) in motion
Full disclosure, I did not review Conda or Hatch fully. Not that there is anything explicitly wrong with either of them. Conda is too specific to the scientific community for my general taste. Hatch seems to go well with Conda and also uses the PyProject manifest as well. It's nice that it gives you several built in tools, similar to commit hooks, but I tend to like to roll my own via a Taskfile and run them with Poetry.
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Building RESTful API with Hexagonal Architecture in Go
Taskfile is a tool for streamlining repetitive development tasks. It helps automate activities like building, testing, and deploying applications. Unlike Makefile, Taskfile uses YAML for configuration, making it more readable and user-friendly.
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We built the fastest CI in the world. It failed
9. We test everything with another promotion which runs make targets which build docker containers to run python scripts (pytest)
This is also built by a complicated web of wildcarded makefile targets, which need to be interoperable and support a few if/else cases for specific components.
My plan is to migrate all of this to something simpler and more straightforward, or at least more maintainable, which is honestly probably going to turn into taskfile[0] instead of makefiles, and then simple python scripts for the glue that ties everything together or does more complex logic.
My hope is that it can be more straightforward and easier to maintain, with more component-ized logic, but realistically every step in that labyrinthine build process (and that's just the open-source version!) came from a decision made by a very talented team of engineers who know far more about the process and the product than I do. At this point I'm wondering if it would make 'more sense' to replace it with a giant python script of some kind and get access to all the logic we need all at once (it would not).
[0] https://taskfile.dev/
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Exploring GCP With Terraform: Setting Up The Environment And Project
task - a task runner and a replacement for make
What are some alternatives?
jsoniter - A high-performance 100% compatible drop-in replacement of "encoding/json"
just - 🤖 Just a command runner
easyjson - Fast JSON serializer for golang.
doit - task management & automation tool
GJSON - Get JSON values quickly - JSON parser for Go
goreleaser - Deliver Go binaries as fast and easily as possible
go-fuzz - Randomized testing for Go
boilr - :zap: boilerplate template manager that generates files or directories from template repositories
Gin - Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
JobRunner - Framework for performing work asynchronously, outside of the request flow
zap - Blazing fast, structured, leveled logging in Go.
taskctl - Concurrent task runner, developer's routine tasks automation toolkit. Simple modern alternative to GNU Make 🧰