Cheminformatics Microservice is developed using FastAPI, a web framework for generating RESTful APIs with Python. FastAPI was chosen for this project due to its speed, efficiency, and suitability for building advanced APIs. It enables the straightforward creation of robust and scalable APIs. Docker is used for containerization, and semantic versioning principles are applied to track code changes and toolkit versions. In the microservice container, the cheminformatics toolkits RDKit and Open Babel are accessed natively using Python, while the Chemistry Development Kit (CDK) is integrated using JPype . Cheminformatics Microservice consists of five modules, namely chem, convert, depict, ocsr, and tools. Compliant with the OpenAPI specification version 3.1.0, this work provides standard documentation, encourages interoperability, enables automatic code generation, simplifies validation, and integrates with a variety of tools and libraries to enhance the functionality of REST (REpresentational State Transfer) APIs. An overview of the software architecture is given in Figure . The chem module offers various functions such as descriptor calculation, stereoisomer enumeration, HOSE code generation, NPLikeness score calculation , ClassyFire classification , molecular structure standardisation , and a preprocessing pipeline for the upcoming version of the COCONUT database as explained in the results section below. The convert module provides conversions from SMILES to other molecular string representations such as InChI , InChIKey , canonical SMILES , CXSMILES , SELFIES , and IUPAC names. The latter is achieved via the Smiles TO iUpac Translator (STOUT) version 2.0 toolkit . Additionally, MOL files can be generated with 2D and 3D coordinates from SMILES input. Using the depict module, one can generate 2D depictions of chemical structures with various settings, including an option to generate 2D representations with stereochemical annotations following the Cahn-Ingold-Prelog (CIP) sequence rules. RDKit or CDK can be used to generate 2D representations. The depictions are generated in an SVG format and may be scaled to fit the needs of the user. It is also possible to generate a 3D depiction using this module, which is useful as a chemical structure display option for databases or as a teaching aid.