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Private package hosting sounds like a commodity that would be hard to differentiate.
A commodity yes, but could be wrapped in to work very nicely with the latest and greatest in python tooling. Remember, the only 2 ways to make money are by bundling and unbundling. This seems like a pretty easy bundling story.
It's also a crowded and super mature space space between JFrog (Artifactory) and Sonatype (Nexus). They already support private PyPI repositories and are super locked in at pretty much every enterprise-level company out there.
Yeah you'd think so but somehow JFrog (makers of Artifactory) made half a billion dollars last year. I don't really understand that. Conda also makes an implausible amount of money.
Makes sense to me.

Most of the companies that spend $$$$ with them can't use public registries for production/production-adjacent workloads due to regulations and, secondarily a desire to mitigate supply chain risk.

Artifactory is a drop-in replacement for every kind of repository they'll need to work with, and it has a nice UI. They also support "pass-through" repositories that mirror the public repositories with the customization options these customers like to have. It also has image/artifact scanning, which cybersecurity teams love to use in their remediation reporting.

It's also relatively easy to spin up and scale. I don't work there, but I had to use Artifactory for a demo I built, and getting it up and running took very little time, even without AI assistance.

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From my understanding there are a lot of companies that need their own package repositories, for a variety of reasons. I listened to a couple podcasts where Charlie Marsh outlined their plans for pyx, and why they felt their entry into that market would be profitable. My guess is that OpenAI just dangled way more money in their faces than what they were likely to get from pyx.

Having a private package index gives you a central place where all employees can install from, without having to screen what each person is installing. Also, if I remember right, there are some large AI and ML focused packages that benefit from an index that's tuned to your specific hardware and workflows.

Private artifact repositories also help to mitigate supply chain risk since you can host all of your screened packages and don't have to worry about something getting removed from mvn-central, PyPI, NPM, etc.

Plus the obvious need for a place to host proprietary internal libraries.

We have some kind of simple pip repo that is private where I work. What would astral bring to the table?
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I mean that was a thing at one point but I feel like it is baked into github/gitlab etc now