OBS Studio - Free and open source software for live streaming and screen recording

Synthetic data generators for tabular and time-series data

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

Graphical frontend to PS1-to-EXE-compiler PS2EXE.ps1

Compile shell scripts to static binaries.

DeepSeek Coder: Let the Code Write Itself

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Easy and flexible data contracts

🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper

SQL reporting that Just Works. Fast, simple, and confusion-free. Write and share queries in a delightful SQL editor, with AI assistance.

Simple, lightweight orchestrator for R pipelines

Function-oriented Make-like declarative workflows for R

Swiss-army tool for scraping and extracting data from online assets, made for hackers

Sharing cool data tricks in Python and R

Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.

SQL tips and tricks

Extract clean data from anywhere, powered by vision-language models ⚡

WebApps in pure Python. No JavaScript, HTML and CSS needed

Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAM…

Adds thumbnail preview to Windows Explorer for EPUB, FB2, DJVU and Kindle ebooks; 7Z, CB7, CBZ, CBR, RAR and ZIP archives.

CBZ (CBF) Comic Book Format (Zip) Editor

Prepping tables for machine learning

Visualize decision trees in Python

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

#1 Locally hosted web application that allows you to perform various operations on PDF files

Package python to remove common ugliness from a csv-like file

Database diagrams editor that allows you to visualize and design your DB with a single query.

Using a Kaggle dataset, customer personality was analysed on the basis of their spending habits, income, education, and family size. K-Means, XGBoost, and SHAP Analysis were performed.

Data processing with ML, LLM and Vision LLM

A framework to create a standardized feedback mechanism for ETL processes while keeping the developer free from implementation details of the alert system