Open-source alternatives to Ramda Cli

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

This project is a comprehensive pandas data analysis tutorial and instructional guide designed for learning data manipulation and analysis. It serves as a tabular data processing guide and a manual for time series analysis, providing a structured approach to cleaning, merging, and transforming datasets. The repository functions as a data feature engineering course, providing tutorials on constructing and selecting dataset features to improve machine learning model performance. It also includes a vectorized data operations guide for performing element-wise mathematical computations and matrix

DataFrame is a C++ tabular data library and manipulation engine designed for managing heterogeneous data in contiguous memory. It functions as a statistical analysis framework and time series analysis toolkit, providing the means to store, index, and transform multidimensional datasets. The project distinguishes itself through a high-performance execution model that utilizes column-major storage, SIMD-aligned memory allocation, and a thread-pool for parallel computations. It employs a visitor-based algorithm dispatch system and policy-driven transformations to decouple data processing logic f

This repository is a comprehensive collection of instructional guides and practical examples for Python development, focusing on machine learning, data science, and web scraping. It provides implementations for neural networks, reinforcement learning algorithms, and deep learning architectures using PyTorch, alongside detailed manuals for scientific computing and data visualization. The project distinguishes itself by offering specialized tutorials on concurrent programming to optimize CPU performance and guides for setting up Linux development environments. It covers the implementation of ad

Teable is a self-hosted relational data management tool and no-code PostgreSQL database. It provides a spreadsheet-like interface for managing and querying structured data, allowing users to interact with a professional database backend without writing manual SQL for every operation. The platform is an extensible low-code system that allows for the integration of custom plugins and extensions through a dedicated application bridge and marketplace. It enables the creation of tailored internal tools by adding new features or modifying behavior via these external extensions. The system covers a

Scriban is a text templating library and .NET scripting engine used for dynamic text generation. It functions as a template processor and a safe scripting sandbox, providing a secure execution environment that restricts object exposure to prevent unauthorized code execution. The project also includes an abstract syntax tree template parser that allows for programmatic template analysis and modification. The engine features a dedicated Liquid template engine and compatibility mode, allowing it to parse, execute, and convert templates written in Liquid syntax. It distinguishes itself through a

@resultBuilder for building a Bool.

Automate Data Exploration and Treatment

Command-line utility-belt for hacking JSON and Javascript.

vj - JSON Humanizer

Universal 1d/2d data containers with Transformers functionality for data analysis.

Cross-platform CLI tool to validate configuration files across 17 formats. Syntax and schema validation with JSON Schema, XSD, and SchemaStore integration. Written in Go.

Faster, simpler and more portable implementation of jq-inspired language in OCaml

sc-im is a text user interface spreadsheet calculator and data manager. It provides a keyboard-driven environment for performing mathematical computations and managing data grids within a command line interface. The application is scriptable, supporting custom functions, event-driven triggers, and the integration of external scripts to automate calculation tasks. It further allows for the loading of external compiled modules at runtime to extend its mathematical capabilities. The system covers data management through row sorting, filtering, and subtotal calculations. It supports data interop

Convert statistical analysis objects from R into tidy format

Join tables together on inexact matching

dplyr for python

Directions overlay for working with pandas in an analysis environment

Bitwiser is a collection of methods and properties that makes you work with bits, bytes and nibbles a piece of cake

Clean APIs for data cleaning. Python implementation of R package Janitor

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.