Open Source Python Chemistry Software

The Sashimi project hosts the Trans-Proteomic Pipeline (TPP), a mature suite of tools for mass-spec (MS, MS/MS) based proteomics: statistical validation, quantitation, visualization, and converters from raw MS data to the open mzML/mzXML formats.

A collection of cheminformatics and machine-learning software written in C++ and Python. NOTE: the RDKit source code and downloads are now in github: https://github.com/rdkit/rdkit The core algorithms and data structures are written in C++. Wrappers are provided to use the toolkit from either Python or Java. Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and similarity searches.

Do you work with chemical reactors? Are you curious about them? ASALI is the open-source code that you are looking for. Chemical reactor models, transport/thermodynamic properties of gases, equilibrium calculations. ASALI couples all these features with an user friendly graphical interface. Modeling chemical reactors has never been so easy.

this is a small project which provides several mathematical function useful for a chemist or somebody working with mass specs. The goal is to provide several cuda and c based functions which can be easily accessed using java, groovy and python.

Modama is a new software project for processing and analysing 2d detector data (images) provided by any available detectors, mainly SAX and WAX.

Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.

Goldify is a set of tools that allow automated addition of links into electronic documents. Its main purpose is to allow such addition of links into documents that wish to link to the IUPAC GoldBook (http://goldbook.iupac.org).

The RNA Ontology Consortium proposed a translation the RNA backbone angles to 46 clusters ('suites') and hence unique names. This project calculates the suites from RNA 3D structures, and to search on a Java-based index structure of known folds.