Showing 2245 open source projects for "databases"

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  • 1
    huihut interview

    huihut interview

    A summary of C/C++ technical interview basics

    interview is a curated repository of technical interview questions, solutions, and explanations covering a wide range of topics in computer science and software engineering. It aims to help developers prepare for job interviews by providing sample problems in algorithms, data structures, system design, databases, and programming language intricacies, often with code snippets and discussion. The repo is designed so learners can practice real interview scenarios, compare approaches, and internalize foundational concepts that are frequently tested by tech companies. Many entries include both the problem statement and one or more reference implementations, offering insights into time/space complexity and tradeoffs between competing strategies. ...
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  • 2
    Upscheme

    Upscheme

    Database migrations and schema updates made easy

    Upscheme is a PHP library designed to simplify database schema migrations and updates by providing an intuitive API that abstracts away much of the boilerplate code typical of manual migrations. It lets developers define, modify, and manage database tables, columns, indexes, foreign keys, and other objects in a structured way, making schema versioning and continuous deployment smoother. With support for major relational database systems via Doctrine DBAL, Upscheme enables cross-platform...
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  • 3
    BuntDB

    BuntDB

    Database for Go with custom indexing and geospatial support

    ...Among its distinguishing features are support for custom indexing (even within JSON values), spatial (geospatial) indexes with support up to 20 dimensions, flexible iteration over keys (ascending, descending, ranges), TTL/expiry eviction, and embeddability. Because it keeps its data in memory (with persistent backing), it's well suited for caching, session stores, small-scale databases inside Go applications, or applications that prefer simplicity and speed over massive scale. The API is simple, and the library is easy to embed into Go apps.
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  • 4
    Hello SQL

    Hello SQL

    Spanish-language course repository that teaches fundamentals of SQL

    hello-sql is a beginner-friendly, Spanish-language course repository that teaches the fundamentals of SQL and relational databases through practical examples. It focuses mainly on MySQL for lessons due to its ubiquity in education and professional environments, while also introducing PostgreSQL to broaden learners’ exposure to modern database tooling. The materials emphasize real-world query writing, schema design basics, and the mental model behind SELECT, JOIN, GROUP BY, and subqueries. ...
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  • 5
    Gradle JOOQ Plugin

    Gradle JOOQ Plugin

    Gradle plugin that integrates jOOQ

    ...It wires jOOQ’s code generator into the Gradle build lifecycle, so whenever the schema changes, developers can regenerate matching Java classes directly through a Gradle task. The plugin handles dependencies, classpaths, and configuration options for connecting to different databases. It supports customization of generator options, such as output directories, package names, and which tables or schemas to include. By automating schema-to-code generation, the plugin keeps the application’s data model and database in sync. This reduces runtime errors and increases productivity by making database interactions strongly typed and integrated into the development workflow.
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  • 6
    SafeQL

    SafeQL

    Validate and auto-generate TypeScript types from raw SQL queries

    ...SafeQL was built in mind to be easy to use and integrate with your existing codebase. SafeQL was built with monorepos and microservices in mind, and it's easy to use with multiple databases. SafeQL is an ESLint plugin that helps you write SQL (PostgreSQL) queries safely. SafeQL was never meant to replace your current SQL library. Instead, It's a plugin that you can use to add extra functionality to your existing SQL library. It means that you can use SafeQL with any SQL library that you want. You can even use SafeQL with multiple SQL libraries at the same time.
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  • 7
    VoltAgent

    VoltAgent

    Open Source TypeScript AI Agent Framework

    An AI Agent Framework provides the foundational structure and tools needed to build applications powered by autonomous agents. These agents, often driven by Large Language Models (LLMs), can perceive their environment, make decisions, and take actions to achieve specific goals. Building such agents from scratch involves managing complex interactions with LLMs, handling state, connecting to external tools and data, and orchestrating workflows. VoltAgent is an open source TypeScript framework...
    Downloads: 1 This Week
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  • 8
    RAG from Scratch

    RAG from Scratch

    Demystify RAG by building it from scratch

    ...Instead of relying on complex frameworks or cloud services, the repository demonstrates the entire RAG pipeline using transparent and minimal implementations. The project walks through key concepts such as generating embeddings, building vector databases, retrieving relevant documents, and integrating the retrieved context into language model prompts. Each example is written with detailed explanations so that developers can understand the internal mechanics of semantic search and context-aware language generation. The repository emphasizes learning through direct implementation, allowing users to see how each component of the RAG architecture functions independently.
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  • 9
    dataline

    dataline

    AI data analysis and visualization on CSV, Postgres, MySQL, Snowflake

    dataline is an open-source AI data analysis and visualization platform that allows users to interact with datasets using natural language. The system enables both technical and non-technical users to explore data by asking questions conversationally, which the platform translates into database queries and analytical operations. It supports connections to multiple structured data sources such as PostgreSQL, MySQL, Snowflake, SQLite, Excel files, CSV datasets, and other database systems. Once...
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  • 10
    trench

    trench

    Open-Source Analytics Infrastructure

    ...The system is built on top of high-performance data technologies including Apache Kafka and ClickHouse, which allows it to ingest and process very large volumes of events while maintaining fast query performance. It was originally developed to solve scaling challenges in product analytics systems where traditional relational databases become inefficient as event tables grow. The platform enables developers to collect events such as page views, user actions, and behavioral metrics while storing them in a column-oriented analytics database optimized for time-series workloads. By combining streaming ingestion with fast analytical queries, the system supports use cases such as product analytics dashboards, observability pipelines, and machine learning data preparation.
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  • 11
    AI Powered Knowledge Graph Generator

    AI Powered Knowledge Graph Generator

    AI Powered Knowledge Graph Generator

    ...The system emphasizes structured data modeling and graph-based queries that allow users to explore relationships that would be difficult to identify using traditional relational databases.
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  • 12
    DeepSearcher

    DeepSearcher

    Open Source Deep Research Alternative to Reason and Search

    ...It is designed around the idea that high-quality answers require more than top-k retrieval, so it orchestrates multi-step search, evidence collection, and synthesis into a comprehensive response. The project integrates with vector databases (including Milvus and related options) so organizations can index internal documents and query them with semantic retrieval. It also supports flexible embeddings, making it easier to choose different embedding models depending on domain requirements, latency targets, or accuracy goals. The overall workflow aims to minimize hallucinations by grounding outputs in retrieved material and then applying structured reasoning over that evidence before generating a final report.
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  • 13
    Dash Data Agent

    Dash Data Agent

    Self-learning data agent that grounds its answers in layers of content

    Dash is a self-learning data agent built by the Agno AI community that generates grounded answers to English queries over structured data by synthesizing SQL and reasoning based on six layers of context, improving automatically with each run. It sidesteps common limitations of simple text-to-SQL agents by incorporating multiple context layers — including schema structure, human annotations, known query patterns, institutional knowledge from docs, machine-discovered error patterns, and live...
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  • 14
    CineCLI

    CineCLI

    CineCLI is a cross-platform command-line movie browser

    CineCLI is a command-line utility designed to help movie lovers quickly browse, search, and access film information from the terminal without needing a graphical interface. It connects to popular online movie databases to fetch metadata such as titles, release dates, ratings, genres, casts, posters, and plot summaries, presenting all of that in a concise, text-friendly format suitable for terminals or scripts. Users can search by keyword, year, or exact title and then drill into detailed views for individual films, making it useful for creating watchlists, learning more about films before watching, or integrating movie lookup into shell workflows. ...
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  • 15
    Complete-Python-Bootcamp

    Complete-Python-Bootcamp

    The complete Python bootcamp guide

    ...Later sections dive into advanced Python concepts, including memory management, multithreading, and multiprocessing, giving learners exposure to performance and concurrency topics that many beginner courses skip. The bootcamp also includes dedicated modules for data analysis with Python, working with databases, and logging, helping learners connect Python skills to data science and backend engineering tasks.
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  • 16
    JSCamp InfoJobs

    JSCamp InfoJobs

    Content and exercises fromJSCamp InfoJobs

    JSCamp InfoJobs is the companion repository for JSCamp InfoJobs, an intensive full-stack JavaScript bootcamp in Spanish designed to take students from fundamentals to advanced topics. It is organized into numbered modules like 00-html-css, 01-javascript, 02-react, 03-router-and-zustand, 04-node, 05-typescript, 06-inteligencia-artificial, 07-sql, 08-ci-cd, and 09-docker, mirroring the curriculum of the bootcamp.The README explains that students will build a complete project step by step...
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  • 17
    Mall Learning

    Mall Learning

    Tutorial and sample-code repository

    mall-learning is a tutorial and sample-code repository that explores an entire e-commerce system architecture from backend to frontend. The associated “mall” project (with tens of thousands of stars) is an open-source full-stack e-commerce platform built with Spring Boot, MyBatis, Elasticsearch, RabbitMQ, Redis, MongoDB, MySQL and containerized via Docker. The learning repository breaks down architecture, business modules (products, orders, marketing, members), deployment (Linux, Docker,...
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  • 18
    Node.js Testing Best Practices

    Node.js Testing Best Practices

    Beyond the basics of Node.js testing

    ...The material explains how to structure tests around process boundaries—HTTP, queues, cron jobs—while keeping fast feedback cycles through selective integration tests and reliable test doubles. It dives into topics like test containers, ephemeral databases, and idempotent fixtures to ensure deterministic runs in CI. Observability is treated as part of testing: logs, metrics, and tracing make failures diagnosable instead of mysterious. By aligning tests with service responsibilities instead of internal modules, the guide helps teams produce suites that reflect real production behavior.
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  • 19
    Computer Science Flash Cards

    Computer Science Flash Cards

    Mini website for testing both general CS knowledge and enforce coding

    This repository collects concise flash cards that cover the core ideas of a traditional computer science curriculum with a focus on interview readiness. The cards distill topics like time and space complexity, classic data structures, algorithmic paradigms, operating systems, networking, and databases into short, testable prompts. They are designed for spaced-repetition style study so you can cycle frequently through fundamentals until recall feels automatic. Many cards point at canonical definitions or contrasts (e.g., stack vs. queue, BFS vs. DFS) to strengthen conceptual boundaries. The material favors clarity and breadth over exhaustive proofs, making it ideal for quick refreshers during a study plan. ...
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  • 20
    GoCryptoTrader

    GoCryptoTrader

    Trading bot and framework supporting multiple exchanges

    GoCryptoTrader is a full framework / bot for cryptocurrency trading, written in Go (Golang). It supports multiple exchanges, real-time and historic data, backtesting, handling order books, portfolio management, scripting, and many exchange integration features. It is a trading engine that can be run by users to automate strategies across many exchanges. Licensed under MIT. Support for all exchange fiat and digital currencies, with the ability to individually toggle them on/off. Customisation...
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  • 21
    QxOrm library

    QxOrm library

    C++ Qt ORM (Object Relational Mapping) and ODM library

    QxOrm library is an Object Relational Mapping (ORM) and Object Document Mapper (ODM) database library for C++ Qt developers. QxEntityEditor is a graphic editor for QxOrm library : QxEntityEditor provides a graphic way to manage the data model. QxEntityEditor is multi-platform (available for Windows, Linux, and Mac OS X) and generates native code for all environments, desktop (Windows, Linux, Mac OS X), embedded and mobile (Android, iOS, Windows Phone, Raspberry Pi, etc.). A user manual...
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  • 22
    Firebase Admin Go SDK

    Firebase Admin Go SDK

    Firebase Admin Go SDK

    ...Programmatically send Firebase Cloud Messaging messages using a simple, alternative approach to the Firebase Cloud Messaging server protocols. Access Google Cloud resources like Cloud Storage buckets and Cloud Firestore databases associated with your Firebase projects. Create your own simplified admin console to do things like look up user data or change a user's email address for authentication. Generate and verify Firebase auth tokens.
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  • 23
    TypeScript Express Starter

    TypeScript Express Starter

    Quick and Easy TypeScript Express Starter

    ...If you do not enter a project name, it defaults to typescript-express-starter. TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases. A query language for APIs and a runtime for fulfilling those queries with your existing data.
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  • 24
    The Apache Struts web framework

    The Apache Struts web framework

    Mirror of Apache Struts

    ...Web applications differ from conventional websites in that web applications can create a dynamic response. Many websites deliver only static pages. A web application can interact with databases and business logic engines to customize a response. Web applications based on JavaServer Pages sometimes commingle database code, page design code, and control flow code. In practice, we find that unless these concerns are separated, larger applications become difficult to maintain. One way to separate concerns in a software application is to use a Model-View-Controller (MVC) architecture. ...
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  • 25
    Apache Drill

    Apache Drill

    Apache Drill is a distributed MPP query layer for self describing data

    ...Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data. Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more. Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop.
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