A set of composable & declarative DSLs

Library to create and read Excel files in .xlsx and .csv. Facilitates the generation and processing of Excel files, handles spreadsheets, column headers and data validations. 🚀🔥

Repositorio del proyecto final grupo 1

Assignment for better-financial

A powerful TypeScript library for easy Excel file manipulation using a cursor-based API. Built on top of ExcelJS, it provides an intuitive interface for navigating and modifying Excel workbooks.

Project for QA control || React, Redux, Redux Toolkit, Redux Thunk, TypeScript, SCSS, Docker + (axios, dotenv, file-saver, docx, exceljs, jspdf, jsdoc, react-router-dom)

Respect — это система оценки студентов, основанная на репутации. Участники могут повышать или понижать репутацию друг друга в зависимости от их активности и достижений. Студенты с высокой репутацией получают дополнительные преимущества, такие как возможность закрыть долги или получить бонусы

CSV Validation library against user defined schema

Technical Interview Wizard

A comprehensive financial management tool for Organizations.

A little project to read data from an Excel file and create their respective entries in Contentful.

How to add dynamic data from Internet and insert it to Excel (Case: Migrate Ecommerce)

Automates Lighthouse audits using Playwright and TypeScript. Generates performance scores, diagnostic screenshots, and detailed reports for multiple URLs in both normal and incognito modes. Ideal for performance monitoring, CI integration, and web quality assurance.

A Typescript-based library specializing in reading Spreadsheet data from files (xlsx/xls, odf/ods, csv)

极轻量的excel文件预览react组件，支持 xlsx/xls/csv文件

Salary simulator for a Parisian consulting firm.

Implement export excel file in angular using FileSaver and exceljs

A Node.js application using TypeScript and NestJS. It generates Excel reports from user data stored in a MySQL database, streams the data efficiently using Node.js streams, and uploads the resulting report to AWS S3. The design focuses on memory efficiency and scalability for large datasets.