ijson VS Octo Pack

Compare ijson vs Octo Pack and see what are their differences.

ijson

Iterative JSON parser with Pythonic interfaces (by ICRAR)

Octo Pack

Creates Octopus-compatible NuGet packages (by OctopusDeploy)
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ijson Octo Pack
2 4
764 182
3.1% -
7.1 0.0
about 1 month ago over 3 years ago
Python C#
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

ijson

Posts with mentions or reviews of ijson. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-22.
  • How do i handle large json file?
    1 project | /r/learnpython | 30 Nov 2021
  • Bringing the Unix Philosophy to the 21st Century
    11 projects | news.ycombinator.com | 22 Aug 2021
    > JSON’s design assumes the user can read the entire file into memory

    No? The design of most JSON libraries assumes that, but there are perfectly good incremental JSON parsers out there[1–3]. It’s just that people don’t seem to have figured out a good API for not-completely-incremental parsing (please prove me wrong here!), but this applies equally to any structured data format as soon as you want to pull out pieces of data that are nested more than one level down.

    The lack of length prefixes in JSON does indeed make a solid parser somewhat more difficult, but you get the ability to author and validate it manually instead. All in all a draw and not because of the incremental parsing thing.

    (Tabular or otherwise homogeneous data is indeed reprsented wastefully, but unless the individual records are huge json+gzip is a perfectly serviceable “worse-is-better” solution.)

    [1] https://github.com/ICRAR/ijson

    [2] https://github.com/AMDmi3/jsonslicer

    [3] https://github.com/danielyule/naya

Octo Pack

Posts with mentions or reviews of Octo Pack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-22.

What are some alternatives?

When comparing ijson and Octo Pack you can also consider the following projects:

jsonslicer - Stream JSON parser for Python

DbUp - DbUp is a .NET library that helps you to deploy changes to SQL Server databases. It tracks which SQL scripts have been run already, and runs the change scripts that are needed to get your database up to date.

jc - CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.

yuniql - Free and open source schema versioning and database migration made natively with .NET/6. NEW THIS MAY 2022! v1.3.15 released!

jellex - TUI to filter JSON and JSON Lines data with Python syntax

Unfold - Powershell-based deployment solution for .net web applications

jello - CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)

nushell - A new type of shell

live-awk-mode - Build awk commands interactively with live result sets.

murex - A smarter shell and scripting environment with advanced features designed for usability, safety and productivity (eg smarter DevOps tooling)

Jenkins - Jenkins automation server