Showing 2177 open source projects for "databases"

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  • 1
    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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  • 2
    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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  • 3
    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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  • 4
    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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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

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  • 5
    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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  • 6
    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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  • 7
    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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  • 8
    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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  • 9
    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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  • 10
    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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  • 11
    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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  • 12
    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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  • 13
    Ubicloud

    Ubicloud

    Open source alternative to AWS. Elastic compute, block storage

    Ubicloud is an open-source cloud platform that aims to provide a decentralized alternative to traditional hyperscale cloud providers. It focuses on building a federated network of providers where individuals and organizations can contribute infrastructure and offer compute, storage, and networking resources. Ubicloud emphasizes transparency and openness: APIs, orchestration, and management layers are open, enabling users to audit and customize their infrastructure instead of relying on...
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  • 14
    create-t3-app

    create-t3-app

    The best way to start a full-stack, typesafe Next.js app

    ...Next.js offers a lightly opinionated, heavily optimized approach to creating applications using React. It's the industry standard and we're proud to build on top of it :) Prisma is the best way to work with databases in TypeScript. It provides a simple, type-safe API to query your database, and it can be used with most SQL dialects (and Mongo too!). We firmly believe TypeScript will help you be a better web developer.
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  • 15
    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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  • 16
    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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  • 17
    Reliable PostgreSQL Backup & Restore

    Reliable PostgreSQL Backup & Restore

    Reliable PostgreSQL backup and restore

    pgBackRest aims to be a reliable, easy-to-use backup and restore solution that can seamlessly scale up to the largest databases and workloads by utilizing algorithms that are optimized for database-specific requirements. Compression is usually the bottleneck during backup operations but, even with now-ubiquitous multi-core servers, most database backup solutions are still single-process. pgBackRest solves the compression bottleneck with parallel processing.
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  • 18
    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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  • 19
    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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  • 20
    Dream Framework

    Dream Framework

    Tidy, feature-complete Web framework

    ...Session management with pluggable back ends; and unified error handling that leaks no English strings from any level of your app. You can integrate Dream into a fully self-contained binary, or run it in large deployments behind proxies. Dream assumes no databases, environment variables, or configuration files, and requires no setup beyond installing the one package, dream. Dream sticks to base OCaml types as much as possible, introducing only a few types of its own. Dream handlers and middlewares are just bare functions. Dream has a flat namespace and aims for maximal clarity.
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  • 21
    Checked C

    Checked C

    Checked C is an extension to C that lets programmers write C code

    Checked C is an extension to C that lets programmers write C code that is guaranteed by the compiler to be type-safe. The goal is to let people easily make their existing C code type-safe and eliminate entire classes of errors. Checked C does not address use-after-free errors. Checked C adds static and dynamic checking to C to detect or prevent common programming errors such as buffer overruns and out-of-bounds memory accesses. The goal of the project is to improve systems programming by...
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  • 22
    Ridgepole

    Ridgepole

    Ridgepole is a tool to manage DB schema. It defines DB schema

    Ridgepole is a database schema management tool that treats your schema as code by expressing it in a Ruby DSL and applying diffs to keep databases in sync. You describe the desired state in a “Schemafile” (tables, columns, indexes, constraints), and Ridgepole compares it with the live database to generate only the necessary changes. This diff-and-apply approach makes schema changes repeatable and reviewable, avoiding hand-written migrations for routine structural edits. It supports multiple environments and options to ignore benign differences (such as auto-generated defaults), reducing churn in teams and CI pipelines. ...
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  • 23
    ILLA Builder

    ILLA Builder

    Low-code platform allows you to build business apps

    ...By dragging and dropping components, you can quickly build the UI of the apps and implement any functionality you desire. Connect to your own data sources, including MySQL, PostgreSQL, and other databases, REST APIs, GraphQL, etc. Build CRUD apps in just one minute. Integrating AI agents into your app and empowering it with AI capabilities such as intelligent analysis, content generation, and more, without AI development skills. Use ILLA Flow to automate your workflow to ensure you always have the latest data and reduce repetitive tasks.
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  • 24
    DocArray

    DocArray

    The data structure for multimodal data

    ...Data in transit: optimized for network communication, ready-to-wire at anytime with fast and compressed serialization in Protobuf, bytes, base64, JSON, CSV, DataFrame. Perfect for streaming and out-of-memory data. One-stop k-NN: Unified and consistent API for mainstream vector databases.
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  • 25
    Luigi

    Luigi

    Python module that helps you build complex pipelines of batch jobs

    ...You want to chain many tasks, automate them, and failures will happen. These tasks can be anything, but are typically long running things like Hadoop jobs, dumping data to/from databases, running machine learning algorithms, or anything else. You can build pretty much any task you want, but Luigi also comes with a toolbox of several common task templates that you use. It includes support for running Python mapreduce jobs in Hadoop, as well as Hive, and Pig, jobs. It also comes with file system abstractions for HDFS, and local files that ensures all file system operations are atomic.
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