Dasel is a multi-format data processor and structured data query tool used for querying, editing, and converting data across JSON, YAML, TOML, and XML. It functions as a universal data converter and a cross-format configuration editor that allows users to interact with various serialization formats through a single unified interface. The tool provides a selector-based interface for extracting and searching nested values and modifying keys and values across different file types. It enables the transformation of data between supported structures to change file types while preserving the origina
Gron is a command line utility that transforms nested JSON data into a flat list of path-value assignments. This process converts hierarchical structures into line-based statements, mapping every leaf value to its absolute path to make the data compatible with standard text-processing tools. The tool allows for the bidirectional transformation of data, enabling the reconstruction of original nested JSON objects from flattened path assignments. It can ingest JSON from local files, standard input, or remote URLs, with the ability to route network traffic through proxy servers. The utility supp
Fx is a command-line processing suite designed for the transformation, conversion, exploration, and visualization of structured data. It functions as a terminal-based utility that handles both automated shell pipelines and interactive navigation of complex, nested data hierarchies. The tool distinguishes itself by integrating a JavaScript-based engine that executes user-provided logic to filter, map, or modify data fields within a sandboxed runtime. It maintains a responsive interface by decoupling data processing from the display loop, allowing users to explore large datasets through an inte
This project is an educational resource and a collection of instructional materials for performing data manipulation and statistical analysis using Python. It provides a comprehensive set of guides and code examples for using the Pandas, NumPy, and Matplotlib libraries to analyze structured data. The resource includes a dedicated guide for reshaping, cleaning, and aggregating tabular data and time series via Pandas, alongside a reference for high-performance vectorized operations and linear algebra using NumPy. It also features tutorials for creating publication-quality charts, distribution p
:ram: A CLI tool for processing data with functional pipelines
Principalele funcționalități ale raine/ramda-cli sunt: Data Manipulation, JSON and Tree Data.
Alternativele open-source pentru raine/ramda-cli includ: tomnomnom/gron — Gron is a command line utility that transforms nested JSON data into a flat list of path-value assignments. This… antonmedv/fx — Fx is a command-line processing suite designed for the transformation, conversion, exploration, and visualization of… tomwright/dasel — Dasel is a multi-format data processor and structured data query tool used for querying, editing, and converting data… iamseancheney/python_for_data_analysis_2nd_chinese_version — This project is an educational resource and a collection of instructional materials for performing data manipulation… morvanzhou/tutorials — This repository is a comprehensive collection of instructional guides and practical examples for Python development,… hosseinmoein/dataframe — DataFrame is a C++ tabular data library and manipulation engine designed for managing heterogeneous data in contiguous…