The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
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This is a repo with links to everything you'd ever want to learn about data engineering
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
The official home of the Presto distributed SQL query engine for big data
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
The agent platform built on sync.
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
Distributed stream processing engine in Rust
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
An Internet-Scale Database.
Visualize and share your data. All in SQL. Powered by DuckDB.
Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.
KeyPathKit is a library that provides the standard functions to manipulate data along with a call-syntax that relies on typed keypaths to make the call sites as short and clean as possible.
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Light, Embeddable, NoSQL database for Deno 🦕