Data wrangling tool focusing on correctness, speed, and simplicity.
Data often needs to be processed going from one tool to another. Doing that is potentially a point of failure, as 'quick and dirty' solutions often fail to take into account edge cases. This project will build on top of Jaq, a Rust re-implementation of the widely popular jq syntax with rigorously defined semantics, and extend its approach to other data formats - from legible formats such as XML, YAML, TOML, CSV and Markdown to binary formats. For the latter, the project builds on the versatile parsing toolbox of Kaitai Struct.
This project was funded through theNGI0 Commons Fund, a fund established byNLnet with financial support from the European Commission'sNext Generation Internet programme, under the aegis ofDG Communications Networks, Content and Technology under grant agreement No101135429. Additional funding is made available by theSwiss State Secretariat for Education, Research and Innovation (SERI).