Search Results for "sed"

Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more.

a sed like script language for parsing context free languages. the language implements a virtual machine which is appropriate for parsing and transforming context free languages. an implementation in c++ is nearing completion (apr07)

The Kinetic Simulation Algorithm Ontology (KiSAO; http://co.mbine.org/standards/kisao) is an ontology of algorithms for simulating and analyzing biological models, as well as the characteristics of these algorithms, their input parameters, and their outputs. In addition, KiSAO captures relationships among algorithms, their parameters, and their outputs. Development of KiSAO has moved to https://github.com/SED-ML/KiSAO/.

This project hosts a library and tools for sharing simulation experiments encoded using SED-ML.

...The goal is to make ad-hoc exploration of data sets easy without having to use more heavy-weight tools like SQL/MapReduce/custom programs. rq fills a similar niche as tools like awk or sed, but works with structured (record) data instead of text. It was created with love out of the best parts of Rust, and is distributed as a dependency-free binary on many operating systems and architectures.

jl ("JSON lambda") is a tiny functional language for querying and manipulating JSON.

This project uses a few simple scripts to convert data grabbed from RedButton download (rb-download) into XMLTV format that MythTV uses for program guide listings. Code repo moved to github. https://github.com/solorvox/mheg2xmltv

...The advantages by using CSV as input and output are the following: - Many applications allow an export of its data to CSV or Excel(were it could be saved to CSV) - It is possible to pre- and postprocess the data, e.g removing version numbers before comparing - It is easy to create CSV data from logfiles and other resources by using unix tools like sed or awk - CSV can be loaded into other applications, especially Excel, were it can be formatted by macros for analyzing.