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A curated list of resources for data-centric AI development, including tools, frameworks, and best practices.
An open source distributed time-series database with high concurrency, high performance, and high scalability.
A Python library for creating and performing exact inference on Bayesian Belief Networks.
A collection of open data sets and tools for data science and machine learning tasks.
A clean architecture implementation in Node.js with Express.js, MongoDB, and Redis for API development.
MDB Tools is a C library for reading Microsoft Access databases on Unix-like systems.
A frictionless, pipeable approach to dealing with summary statistics in R
Event store using PostgreSQL for persistence, focused on CQRS and event sourcing patterns.
NVTabular is a feature engineering and preprocessing library for tabular data used in recommender systems.
Alembic is an open framework for storing and sharing scene data that includes a C++ library, a file format, and client plugins and applications.
An open-source online examination system and corporate training software built with Java, Spring Boot, and Vue.js.
GraphFrames provides DataFrame-based Graphs for Apache Spark, enabling scalable graph analysis and algorithms.
Apache Accumulo is a scalable and robust key-value store that provides a sparse, sorted, distributed, and persistent multi-dimensional table.
An immutable in-memory R-tree and R*-tree implementation in Java with a reactive API.
A TypeScript library for fetching stock and fund data from various stock exchanges.
A collection of adapters for the DefiLlama platform, a DeFi analytics and discovery service.
Baidu's Bigflow is a powerful distributed computing platform that helps developers process large-scale data efficiently.
A JavaScript library that provides an XPath-like query language for working with JSON data.
A collection of resources for developers interested in data-centric AI approaches and techniques.
A web-based data mining tool for OpenStreetMap using the Overpass API
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