The most advanced ML Observability platform
We’re super excited to share that Aporia is now the first ML observability offering integration to the Databricks Lakehouse Platform. This partnership means that you can now effortlessly automate your data pipelines, monitor, visualize, and explain your ML models in production. Aporia and Databricks: A Match Made in Data Heaven One key benefit of this […]
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We’re excited 😁 to share that Forbes has named Aporia a Next Billion-Dollar Company. This recognition comes on the heels of our recent $25 million Series A funding and is a huge testament that Aporia’s mission and the need for trust in AI are more relevant than ever. We are very proud to be listed […]
Project Jupyter is an open-source project that is used to gather software code, computation results, explanations, and multimedia resources into a single document in the form of a computational notebook.
Over the past couple of years, Jupyter has become the most popular computational notebook. This has been made possible by an enthusiastic community of user–developers and a redesigned architecture allowing it to support dozens of programming languages. The name “Ju” is influenced by Julia, Python and R, as well as co-founder Fernando Perez’s own programming language.
