imaging VS GJSON

Compare imaging vs GJSON and see what are their differences.

imaging

Imaging is a simple image processing package for Go (by disintegration)

GJSON

Get JSON values quickly - JSON parser for Go (by tidwall)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
imaging GJSON
5 34
5,061 13,589
- -
0.0 5.2
7 months ago 8 days ago
Go Go
MIT 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.

imaging

Posts with mentions or reviews of imaging. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-10.

GJSON

Posts with mentions or reviews of GJSON. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-04.
  • Rob Pike: Gobs of data (2011)
    10 projects | news.ycombinator.com | 4 Dec 2023
    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.

    --

    1: https://github.com/alecthomas/go_serialization_benchmarks

    2: https://github.com/golang/go/issues/29766#issuecomment-45492...

    --

    3: https://github.com/goccy/go-json

    4: https://github.com/vmihailenco/msgpack

    5: https://github.com/fxamacker/cbor

    --

    6: https://github.com/valyala/fasthttp#faq

    --

    7: https://github.com/tidwall/gjson

    8: https://github.com/tidwall/sjson

  • Jj: JSON Stream Editor
    7 projects | news.ycombinator.com | 25 May 2023
    ```

    I don't think there is a way to sort an array, though. However, there is an option to have keys sorted. Personally, I don't think there is much annoyance in that. One could just pipe `jj` output to `sort | uniq -c`.

    [0]: https://github.com/tidwall/gjson/blob/master/SYNTAX.md

  • Library to analyze an arbitrary JSON string
    5 projects | /r/golang | 1 May 2023
    I’m using GJSON, so far so good!
  • Mapping json fields in api calls to a struct to store them in a database or cache
    1 project | /r/golang | 28 Mar 2023
    If the fields you need are just a small subset of the whole json, maybe https://github.com/tidwall/gjson might be of use to read only those (using jsonpath) without needing to create complete corresponding structs.
  • Which CPU to buy based on profiling
    1 project | /r/golang | 27 Mar 2023
    Thank you for the reminder, it's never too much of it :) Didn't say it, but the code was pprof-iled many times and i can really say it's well optimized. I use own libraries with on-the-fly equations (sums, avgs, emas, stds, ...) wherever possible and also made custom json parser as json messages are in fixed format, so the parser is about 10x faster than gjson. I optimized it to the point that I avoided using maps, and rather iterate via slice where ever possible.
  • Jetro - transform and query JSON format
    1 project | /r/rust | 19 Mar 2023
    You are right, for learning purposes this fit my needs, but I can imagine an approach similar to this repo: https://github.com/tidwall/gjson
  • Any way to convert unknown/dynamic json to generic object structure
    3 projects | /r/golang | 2 Mar 2023
    https://github.com/tidwall/gjson is a relatively sensible library if this is something you need to deal with and the structure is actually unknowable.
  • Need help with getting the grandchild in nested JSON
    3 projects | /r/golang | 28 Feb 2023
  • Double down on python or learn Go
    3 projects | /r/golang | 19 Feb 2023
  • Ad hoc JSON parsing
    4 projects | /r/golang | 16 Jan 2023

What are some alternatives?

When comparing imaging and GJSON you can also consider the following projects:

imaginary - Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing

jsoniter - A high-performance 100% compatible drop-in replacement of "encoding/json"

gocv - Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.

go-json - Fast JSON encoder/decoder compatible with encoding/json for Go

bimg - Go package for fast high-level image processing powered by libvips C library

intrinsic

fastimage - Finds the type and/or size of a remote image given its uri, by fetching as little as needed.

gojson - Automatically generate Go (golang) struct definitions from example JSON

Primitive Pictures - Reproducing images with geometric primitives.

hub - A command-line tool that makes git easier to use with GitHub.

bild - Image processing algorithms in pure Go

ngrok - Unified ingress for developers