A powerful and efficient Node.js library for streaming JSON processing. Transform JSON strings to objects and objects to JSON strings with support for custom separators, multiple encodings, and high-performance streaming operations.

🔍 Analyze Blinkit E-commerce data to uncover revenue drivers and operational inefficiencies through SQL, Python, and Power BI dashboards.

🗂️ Flatten multi-dimensional arrays efficiently with ndarray-flatten-from, a simple utility that streamlines array manipulation in JavaScript.

🔄 Transform shadcn/ui components to fully support RTL with a single command, making it ideal for Arabic, Persian, Urdu, and other RTL applications.

📏 Flatten multi-dimensional arrays in JavaScript with ease, enabling simplified data manipulation and efficient numerical computations.

🐊 Pluggable and configurable JavaScript Linter, code transformer and formatter, drop-in ESLint superpower replacement 💪 with built-in support for js, jsx, typescript, markdown, yaml and json. Write declarative codemods in a simplest possible way 😏

Reshape a nested array into another nested array having a desired shape.

A collection of advanced CSS styles to create realistic-looking effects for the faces of Pokemon cards.

Multiprocess, high-performance, crash-safe ETL pipeline for OHLC market data. Written for Python 3.8+, it provides near-realtime incremental updates across all timeframes (cascaded design) and supports all symbols from Dukascopy SA. Zero-database, zero message queues — pure filesystem + NVMe speed. Easy to set up and run in minutes.

data load tool (dlt) is an open source Python library that makes data loading easy 🛠️

A tiny and temporary db for quick data cleansing and transformation. It is a high-level python coding and would help any Pythonistas up to speed with ETL work.

A Jest transform that compiles .pug files as template functions

PyTorch RandomRotation but with crop border radius

TypeScript-first library for 2D zoom and pan transformations in the browser.

Python library for analysis of neuroanatomical data.

Mass processing data with a complete ETL for .net developers

This repository contains a complete ETL pipeline built in Python, in order to demonstrate essential data ingestion and database loading skills. The project extracts structured and semi-structured data from CSV, JSON, and XML files, transforms it into a unified format, and loads it into a PostgreSQL database (with SQLAlchemy and psycopg2)

Transforms Node.js files from ES module to CommonJS, or vice versa.

Toolset for manipulating tabular data efficiently in Excel VBA

Modern C++ code for scalar, vector and complex maths.