Asabeneh
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
D4Vinci
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
TanStack
🤖 Powerful asynchronous state management, server-state utilities and data fetching for the web. TS/JS, React Query, Solid Query, Svelte Query and Vue Query.
metabase
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
PrefectHQ
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
weld-project
High-performance runtime for data analytics applications
mito-ds
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
rilldata
The fastest business intelligence tool for humans and agents.
malloydata
Malloy is a modern open source language for describing data relationships and transformations.
Tanu-N-Prabhu
This repository helps you learn Python and Machine Learning from scratch.
data-forge
The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.
tinybirdco
Tinybird Web Analytics template