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Jo is a command-line utility designed to construct and manipulate JSON objects and arrays directly from shell arguments and standard input. It functions as a data processing tool that transforms raw input into structured formats, enabling the generation of complex payloads for APIs, configuration files, and automated data pipelines. The tool distinguishes itself through its ability to resolve hierarchical data structures using delimiter-based path definitions and its integrated type-inference engine, which automatically casts input values into native boolean, numeric, or null types. Users can
A toolkit for time series machine learning and deep learning
flatten-js is a javascript library for manipulating abstract geometrical shapes like point, vector, line, ray, segment, circle, arc and polygon. Shapes may be organized into Planar Set - searchable container which support spatial queries.
The main features of alibaba/v6d are: Data Processing Tools.
Projects with overlapping indexed features include: jpmens/jo — Jo is a command-line utility designed to construct and manipulate JSON objects and arrays directly from shell… aeon-toolkit/aeon — A toolkit for time series machine learning and deep learning. alexbol99/flatten-js — flatten-js is a javascript library for manipulating abstract geometrical shapes like point, vector, line, ray,… allenai/olmocr — Olmocr is a distributed document processing framework designed to convert PDF and image files into structured… apache-spark-on-k8s/spark. 599yongyang/datasetloom.