Octo Pack
ijson
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| Octo Pack | ijson | |
|---|---|---|
| 4 | 2 | |
| 182 | 761 | |
| - | 4.9% | |
| 0.0 | 7.1 | |
| over 3 years ago | 25 days ago | |
| C# | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
Octo Pack
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Bringing the Unix Philosophy to the 21st Century
Typically informational messages/log message. Ideally it should go do stderr but some applications that intercept the file descriptors consider anything to stderr as error and it is not always possible to change the handling for those applications (e.g. Octopus Deploy[0] does this).
[0]: https://octopus.com/
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IT Pro Tuesday #154 - Kubernetes Coding, Automated Deployment, Packet Analyzer & More
Octopus Deploy is an easy, centralized tool to automate your deployments and operations runbooks. Integrates with your favorite CI server and brings with it fantastic enhanced deployment/ops automation capabilities. Free for 10 deployment targets. habibexpresslikes it "for .NET application deployment. Create some pipelines in Azure DevOps and send packages into Octopus for deployments. Really great for managing environments, variables and credentials amongst other things."
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Open-source solution like CodeDeploy?
I found Octopus CloudDeploy. This might fit your requirements.
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Software developer wanting to dabble in homelabs.
As far as CI/CD I found this which seems to be free https://octopus.com/
ijson
- How do i handle large json file?
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Bringing the Unix Philosophy to the 21st Century
> 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
What are some alternatives?
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.
jsonslicer - Stream JSON parser for Python
yuniql - Free and open source schema versioning and database migration made natively with .NET/6. NEW THIS MAY 2022! v1.3.15 released!
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.
Unfold - Powershell-based deployment solution for .net web applications
jellex - TUI to filter JSON and JSON Lines data with Python syntax
jello - CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)
live-awk-mode - Build awk commands interactively with live result sets.
nushell - A new type of shell
Jenkins - Jenkins automation server
murex - A smarter shell and scripting environment with advanced features designed for usability, safety and productivity (eg smarter DevOps tooling)