User friendly tools strongly influence the use of scientific measurements from marine observatory platforms. Nowadays, because of the huge amount of marine data, available in many different formats, automate methodologies are required to effectively reduce the human effort. This work presents oceanobs, an open-source Python package that provides a wide range of tools to analyze data from marine observatories, including procedures for feature extraction, quality control generation, filtering methods and content visualization. Here we present the philosophy of implementation of the package and we focus on the data Quality Control production.