In the realm of research, digital tools have become essential for accessing relevant literature metadata (Döring et al. 2022; Padilla 2016). Hence, Zurich Zentralbibliothek has funded the KoLibri project, following the example set by the DNB (Taube 2023), ÖNB (Kaiser 2023, 207), and other libraries (Ames and Havens 2021, 50; Yesmin and Zabed 2016) by offering a set of seven Jupyter Notebooks as digital tools designed for metadata retrieval and analysis using Python code. The zeroth Jupyter Notebook serves as the foundational Python codebase for the other six. The next two notebooks allow users to conduct both simple and advanced searches across the library catalog, while the third notebook provides statistical analysis of the search results from the previous two, generating scientific visualizations. The remaining three notebooks mirror the functionality of the first three, with the added feature of GND/Wikidata data field enrichment for the search results. Metadata retrieval and analysis can be daunting without user-friendly tools and formats for conversion, organization, and analysis. Therefore, Zurich Zentralbibliothek has developed these high-quality Jupyter Notebooks (Candela 2023, 1550) available in German. They are designed to be intuitive, transparent and customizable, integrating with powerful Python libraries for statistical analysis and data visualization.