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Grant
Theme fund: NGI0 Commons Fund
Start: 2025-01
More projects like this
Software engineering
Data and AI

Polyglot jaq

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.

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This project was funded through the NGI0 Commons Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 101135429. Additional funding is made available by the Swiss State Secretariat for Education, Research and Innovation (SERI).