- New interfaces to Data (via class methods 'read', 'write', 'download', 'select' and 'fetch')
- New modular approach for merging Pandas Tables (via methods 'merge' and 'generate')
- Parsing of PDB-formatted files and writing in both mmCIF and PDB formats
- Improved aggregation and flattening (normalisation) of genetic variants from UniProt Proteins API and Ensembl REST API
- Updated Documentation and CI
- Parsing methods for various file formats (mmCIF, DSSP, SIFTS, PDB Validation and GFF)
- Fetching methods accessing data from various APIs (PDBe API, Ensembl REST API, UniProt API, etc.)
- A main merge_tables function and CLI for generating a 'big' Pandas DataFrame with aggregated Structural Data, Sequence Features and Variants
- ProteoFAV was created.