I love pydantic but I really have to wonder why they chose this route. There's already a ton of companies that do this really well and I'm trying to figure out how their solution is any different.<p>The llm integration seems promising but if you care about LLM observability you probably also care about evals, guardrails and a million other things that are very specific to LLM's. Is it possible to build all this under one platform?<p>I do hope I'm wrong for the sake of pydantic-core.
I’d like to address a lot of the questions about self hosting: we do not currently have any way to self host, but we do plan on figuring that out eventually. Offering self hosting introduces challenges around updates, support, etc that we don’t want to slow us down while we refine the product to its initial state. We are cognizant of data restrictions and other factors that would require self hosting. That said, we don’t at this time plan on completely open sourcing the entire product. It would be more of a licensing setup. Of course this is all subject to change in the future based on feedback and product direction.<p>The most important thing is that you share with us WHY you want to self host. Is it compliance? What does that compliance mean (min/max data retention, right to be forgotten, data at rest needs to be geographically located or you have to own it, etc)? This will help us build the “right” kind of features in this area so that it works for you and your company.
It'll be hard to position this against Sentry. Sentry's a joy to use and their performance product is so helpful in debugging performance issues
This smells a bit like someone is using the brand of a famous open-source tool they built to promote their startup. If so, that's lame; if the new business is unrelated to your open source project, branding it as <i>Pydantic</i> Logfire seems a bit disingenuous.<p>I think there's a less-misleading way to use open-source reputation for business credibility, though: "so-and-so business, by the creators of so-and-so project". Knowing that respected and skilled folks are working on a business is great! It's a fine distinction, but I think it matters.
The ideal business model (from a user's point of view) for successful libraries like Pydantic, Ruff, etc., is like a foundation or sponsoring. But (almost) nobody pays for them (me included), so their creators have raised VC money, citing: 'We have xxM users and yyyyyM downloads per month.' Not to blame library authors here, they are trying their thing, which is indeed admirable. It's just that open source is difficult to sustain. Wishing them all the best
OP: as someone who runs a Python business and is a happy user of Pydantic (via Django-ninja) — something I would want this splash page to convey, at least implicitly, is “why use this over Sentry?” As far as I can tell, the answer is: an OpenAI binding and stronger Otel support.<p>(That being said, I am a sucker for all new tooling in this genre and am excited to play around with it!)