Open-source alternatives to Reshape

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

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

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

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.

NumPy and Pandas interface to Big Data

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

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.

A fresh approach to string manipulation in R

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

Convert statistical analysis objects from R into tidy format

Join tables together on inexact matching

functional data manipulation for pandas

@resultBuilder for building a Bool.

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

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

The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common functions that add additional logs

Fast and Portable Character String Processing in R (with the Unicode ICU)

A Python package for manipulating 2-dimensional tabular data structures

dplyr is a data manipulation library and grammar for transforming tabular data. It functions as a relational data algebra toolkit and a data frame transformation tool, providing a consistent set of verbs for filtering, selecting, and summarizing data. The project is distinguished by its SQL translation layer, which converts high-level manipulation logic into native queries for execution on remote database backends. It employs a tidy-selection domain language for programmatically identifying columns by name, position, or type, and uses a pipeline-based operation chaining model to sequence tran

vj - JSON Humanizer

Tidy Messy Data

A jq-like Markdown query language for command-line processing

Directions overlay for working with pandas in an analysis environment

dplyr for python

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

Automate Data Exploration and Treatment