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Show HN: Magniv, One line data science infra

40 pointsby jzone3over 3 years ago
Hey HN!<p>We are <a href="https:&#x2F;&#x2F;www.magniv.app&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.magniv.app&#x2F;</a> - Magniv is a platform to enable data scientists to autonomously create, deploy, and maintain data applications within existing infra pipelines. That is, reduce data science reliance on data engineers in mature data organizations.<p>While living between both worlds of software engineering and data science, we have seen a lack of mature organizational tooling for data scientists. Data teams either require embedded data engineers or companies are forced to find a unicorn full-stack data software engineer to hire. On top of that, the tooling that does exist in this space does not take into consideration good software and infrastructure practices that most high performance software engineering teams require.<p>We are looking for interested teams to join our beta! Please check out or website and sign up

7 comments

d--bover 3 years ago
Well this separation is mostly because engineers don&#x27;t want to touch anything Python with a 10-feet pole, and data scientists won&#x27;t touch anything else than Python.<p>Honestly, I understand where this is coming from, and I am glad that because of your tool, data scientists are going to be less of a liability to engineers.<p>But honestly, what I wish is that something that is not Python (anything that is strongly typed will do, seriously!) takes over data science so that we can all play ball together again.
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jonponover 3 years ago
Jonathan here, one of the co-founders of Magniv. Let us know if you have any questions!
convnetover 3 years ago
This looks really promising, nice work!
jakrimover 3 years ago
Love this concept and needed badly!
danielferguover 3 years ago
This looks great, love that it is open source and easy to use&#x2F;learn. Well done!
benjlangover 3 years ago
When&#x27;s it coming out? I&#x27;d like to try it out
nicoragaover 3 years ago
Been wanting this for a long time!