updatecli
jq
updatecli | jq | |
---|---|---|
9 | 58 | |
496 | 29,238 | |
6.7% | 1.5% | |
9.6 | 9.3 | |
8 days ago | 3 days ago | |
Go | C | |
Apache License 2.0 | 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.
updatecli
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Top 10 CLI Tools for DevOps Teams
Updatecli is a useful tool for fine-tuning update strategies in DevOps. As you've probably experienced, manual updates often result in outdated specs because figuring out what can be updated is tricky.
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ArgoCD // Helm Chart // Dev/Staging // Your Best-Practise
A second innovation is the use of updatecli to observe the available application helm releases and update the environment helm charts automatically to promote application versions:
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Looking for an automated way to add ENVs in the deployment file in the helm chart whenever a new ENV comes from the developer's end
Maybe you could have a look to Updatecli https://github.com/updatecli/updatecli
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Automatic update when newer image is available
I built https://github.com/updatecli/updatecli for those situations where it's not possible to guess the next tag version. It's a declarative dependency management tool, You define in a manifest how your Yaml should be update, then run updatecli from your CI to automatically open a PullRequest on your repository when a new container tag is available.
- What do you use to update image tags?
- GitHub - updatecli/updatecli: Updatecli is an automation engine
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Show HN: What if Dependabot and Ansible had a child?
Like in this package https://github.com/updatecli/updatecli/tree/main/pkg/plugins...
And the matching between a package and a resource kind is done here
jq
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Data Science at the Command Line, 2nd Edition (2021)
Thanks, if anyone else is interested there is an explanation of this feature here: https://subtxt.in/library-data/2016/03/28/json_stream_jq And: https://github.com/jqlang/jq/wiki/FAQ#streaming-json-parser
The last time I tried, I think the reason I gave up on JQ for large inputs was that the throughput would max out at 7mb/s whereas the same thing with spark SQL on the same hardware (MacBook) would max out at 250mb/s. So I started looking into using other solutions for big data while I use jq in parallel for small data in multiple files.
I will test it out again cause this was 4-5 years ago when I last tested it, but I believe jaq is still preferred for large inputs. Still I prefer for big data to use Spark/Polars/clickhouse etc.
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Bytecode VMs in Surprising Places
Looks like you are correct https://github.com/jqlang/jq/blob/ed8f7154f4e3e0a8b01e6778de...
- Frawk: An efficient Awk-like programming language. (2021)
- Dehydrated: Letsencrypt/acme client implemented as a shell-script
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I turned my open-source project into a full-time business
I think like you. But also, one does not necessarily know beforehand that they will want to make money.
Like a project could be born out of pure generosity, but after the happy initial phase the project might get too heavy on the maintenance requirements, causing the author to approach burnout, and possibly deciding that they want to make money to continue pulling the cart forward.
However, here's something I do think: if you create something as Open Source, it should be out of a mentality of goodwill and for the greater good, regardless of how it ends up being used. OSS licenses do mean this with their terms. If you later get tired or burned out, you should just retire and allow the community to keep taking care of it. Just like it happened with the Jq tool [1].
[1]: https://github.com/jqlang/jq/releases/tag/jq-1.7
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How to load JSON data in PostgreSQL with the the COPY command
In this blog we'll see how to upload the JSON directly using PostgreSQL COPY command and using an utility called jq!
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How to Recover Locally Deleted Files From Github
And we can then make it easier to find the commit by filtering the response with jq.
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Essential Command Line Tools for Developers
Official Documentation: jqlang.github.io/jq
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Command line tools I always install on Ubuntu servers
To handle JSON files and JSON outputs in a script or format and highlight it, jq can be very handy. Many command line tools provide a json output, so you don't have to write a custom parser for a table a list in a terminal. Instead of that, you can use jq to get a specific value from the output or even modify the output. For more information, you can visit https://jqlang.github.io/jq/
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How I use Nix in my Elm projects
In some projects I've wanted to use HTTPie to test APIs and jq to work with some JSON data. Nix has been really helpful in managing those dependencies that I can't easily get from npm.
What are some alternatives?
argocd-image-updater - Automatic container image update for Argo CD
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
renovate - Universal dependency automation tool.
jp - Validate and transform JSON with Bash
dependabot-core - 🤖 Dependabot's core logic for creating update PR's.
gojq - Pure Go implementation of jq
helm-charts - Epinio Helm chart
Jolt - JSON to JSON transformation library written in Java.
kubernetes-management - Jenkins Infrastructure Kubernetes Management
dasel - Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.
globalping-cli - A simple CLI tool to run networking commands remotely from hundreds of globally distributed servers
jmespath.py - JMESPath is a query language for JSON.