Fastest end-to-end CSV ingestion for Ruby (with C acceleration). SmarterCSV auto-detects formats, applies smart defaults, and returns Rails-ready hashes for seamless use with ActiveRecord, Sidekiq, parallel jobs, and S3 pipelines — even for messy user-uploaded real-world data.

Command-line CSV processing utility.

This bot is very useful to search books and download them in Telegram

A lightweight, zero-allocation CSV library written in portable C99. Supports RFC 4180 parsing, streaming, zero-copy fields, writing, fuzz testing, and high-performance CSV processing with no external dependencies.

sed and awk for tabular data — regex transforms over Excel-style ranges on CSV/DSV

Data-Splitter is a Python script designed to split a large CSV file containing data into three different formats: JSON, a database table, and another CSV file. The script ensures a random distribution of data across the three output formats based on custom-defined ratios.

The Keyword Analysis Dashboard is a powerful tool designed to help marketers and SEO professionals analyze keyword data efficiently. This dashboard allows users to upload keyword data, configure analysis parameters, and visualize the results through interactive charts and tables.

🇺🇸 Solution for importing and analyzing public Brazilian business data (CNPJ). 🇧🇷 Processamento de Dados CNPJ: Uma solução robusta e conteinerizada para importação e análise de dados empresariais brasileiros (CNPJ).

Real-time fraud detection platform – 4-model ML ensemble, sub-second scoring, interactive Streamlit dashboard. Open-source, Docker-ready.

A Python script to classify companies based on financial metrics like Piotroski F-Score and Stock Valuation, using CSV financial data for analysis and output.

High Performance data Synchronization and transformation platform for odoo, Import, Export, and migration tooling; the modern successor to odoo_csv_import.

Lazy data pipeline library in Go for processing large datasets with low memory usage

Data-driven GTD task analysis for TickTick exports. Normalizes messy CSV data, identifies high-impact activities using five-dimension assessment, provides strategic productivity insights. Transforms reactive task management into systematic optimization with automated filtering and export-ready datasets.

Reference project using AWS Lambda and Scala for CSV processing and loading into DynamoDB

ChemVIZ is a hybrid data analysis and visualization platform that processes chemical equipment CSV data and provides automated statistical summaries, interactive charts, and downloadable reports through both a web application and a desktop application powered by a shared Django backend.

A simple ETL and visualization project that loads employee data from CSV into a SQLite database and generates charts for salary distribution and hiring trends.

🔄 Shopify与领星ERP数据同步工具 | 支持产品格式转换、MSKU商品配对、多种匹配算法 | Python CLI工具

Pipeline-Genie is an intelligent data pipeline that processes CSV datasets, identifies their schema, and leverages LLaMA 2.0 to extract business insights. Users can select relevant business needs, triggering automated ETL transformations using Apache Spark. The final transformed dataset is stored in AWS S3 and made available for download.

In this project, I analyze commercial sales data using NumPy and pandas. I visualize total revenue per product using color-coded bar charts in Matplotlib. It’s a foundational step in business data analysis and project documentation.