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I have a project called Meta Package Manager that supports pURLs, so you can:

$ mpm install pkg:npm/left-pad@1.2.3

Other commands allows you to export the SBOM of all packages installed on your machine. More info at: https://github.com/kdeldycke/meta-package-manager


This is awesomely nice!


> My holy grail will still be landing on a good multi-layer configuration setup for Rust CLIs. Ideally CLI flags merged over top of environment variables merged over top of configuration files.

I did that for Python if you are interested: https://github.com/kdeldycke/click-extra

You create your CLI with Click as usual, then Click Extra introspects your "--parameters" to build up support for a corresponding configuration file in either TOML, YAML, JSON, INI or XML.


> When I decided to write a post on ledgers, I already knew there were a few good resources out there to help me.

One that's not referenced in this article and compile all of them is: https://github.com/kdeldycke/awesome-billing#readme


They can scrap my CSV at: https://github.com/kdeldycke/vat-rates


Just took a look - this is a good csv no doubt, but looks like you're focused on countries with VAT and not those with GST, sales tax, and consumption tax right?


Yes you're right. It is not complete and had plan to fix all that a couple of years ago but put it on the back-burner. I'm still happy to merge PRs upstream from motivated contributors! :)


I ‘m using https://stork-search.net for my static website search, but it’s no longer maintained. So yeah, Tantivy would be a great candidate to replace it! :)


Billing. It always has to be the billing. For a list of all other edge cases, you have: https://github.com/kdeldycke/awesome-falsehood#readme


I compiled a list of these articles at: https://github.com/kdeldycke/awesome-engineering-team-manage...

For each one I tried to extract the key point or Tl;Dr in the description.


We were discussing about Resolver One 6 months ago at: https://news.ycombinator.com/item?id=34819682

One mystery we did not resolve (pun intended) was why it did not find its audience. Was it too early? Was data science not established enough as a field? Was it because it was not Excel (i.e. the dominant tool)?


I think it was a combination of those, plus terrible market timing -- we released it, thinking we could sell to finance types, in 2008. In our sales pipeline spreadsheet, the "notes" column started saying things like "customer has gone bankrupt".


Something like Meta Package Manager? https://github.com/kdeldycke/meta-package-manager


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