Search Results for "Databases Open Source & DevTools" - Page 21

Showing 2243 open source projects for "Databases Open Source & DevTools"

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  • 1
    AWS Data Wrangler

    AWS Data Wrangler

    Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.

    ...Built on top of other open-source projects like Pandas, Apache Arrow and Boto3, it offers abstracted functions to execute usual ETL tasks like load/unload data from Data Lakes, Data Warehouses, and Databases. Convert the column name to be compatible with Amazon Athena and the AWS Glue Catalog. Run a query against AWS CloudWatchLogs Insights and convert the results to Pandas DataFrame.
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  • 2
    Slack MCP Server

    Slack MCP Server

    The most powerful MCP Slack Server with no permission requirements

    Slack MCP Server is an open-source server implementation that connects Slack workspaces to AI systems through the Model Context Protocol (MCP). MCP is a standardized protocol that allows large language models and AI agents to securely interact with external tools and data sources such as messaging platforms, databases, or file systems. The slack-mcp-server acts as an intermediary layer that exposes Slack data and messaging functionality to AI clients while enforcing access rules and communication standards. ...
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  • 3
    pwnedOrNot

    pwnedOrNot

    Check breached emails and find exposed passwords from public dumps

    pwnedOrNot is an open source OSINT tool designed to investigate whether an email address has been compromised in known data breaches and to identify exposed credentials associated with that account. The tool works by interacting with the HaveIBeenPwned (HIBP) API to determine if a given email address appears in breach databases. If the email is found in a breach, the tool proceeds to search for associated passwords within publicly available data dumps.
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  • 4
    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...
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    MongoDB Atlas runs apps anywhere

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  • 5
    TabPFN

    TabPFN

    Foundation Model for Tabular Data

    TabPFN is an open-source machine learning system that introduces a foundation model designed specifically for tabular data analysis. The model is based on transformer architectures and implements a prior-data fitted network that can perform supervised learning tasks such as classification and regression with minimal configuration. Unlike many traditional machine learning workflows that require extensive hyperparameter tuning and training cycles, TabPFN is pre-trained to perform inference directly on tabular datasets. ...
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  • 6
    MindsDB

    MindsDB

    Making Enterprise Data Intelligent and Responsive for AI

    MindsDB is an AI data solution that enables humans, AI, agents, and applications to query data in natural language and SQL, and get highly accurate answers across disparate data sources and types. MindsDB connects to diverse data sources and applications, and unifies petabyte-scale structured and unstructured data. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making...
    Downloads: 1 This Week
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  • 7
    Metabigor

    Metabigor

    Command-line OSINT and reconnaissance tool without API keys

    Metabigor is a command-line intelligence and OSINT tool designed to perform reconnaissance and security research tasks without requiring API keys. It focuses on simplifying access to public intelligence sources so that researchers, penetration testers, and bug bounty hunters can gather information efficiently from a single interface. It enables users to discover IP ranges, domains, and infrastructure details related to organizations, domains, or autonomous systems. Metabigor integrates...
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  • 8
    ILLA Builder

    ILLA Builder

    Low-code platform allows you to build business apps

    ILLA is a robust open source low-code platform for developers to build internal tools. By using ILLA's library of Components and Actions, developers can save massive amounts of time on building tools. Build tools through drag-and-drop components, customize your AI Agent, connect to your data sources, and make AI a smart tool tailored to your needs and data, making your work more intelligent.
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  • 9
    Kotlin Dataframe

    Kotlin Dataframe

    Structured data processing in Kotlin

    Data frame is an abstraction for working with structured data. Essentially it’s a 2-dimensional table with labeled columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dictionary of series objects. The handiness of this abstraction is not in the table itself but in a set of operations defined on it. The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. The process of working with data frame is often called data...
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  • 10
    DeepFlow

    DeepFlow

    Application Observability using eBPF

    DeepFlow provides a universal map with Zero Code by eBPF for production environments, including your services in any language, third-party services without code and all cloud-native infrastructure services. In addition to analyzing common protocols, Wasm plugins are supported for your private protocols. Full-stack golden signals of applications and infrastructures are calculated, pinpointing performance bottlenecks at ease. Zero Code distributed tracing powered by eBPF supports applications...
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  • 11
    SuperDuperDB

    SuperDuperDB

    Integrate, train and manage any AI models and APIs with your database

    Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on...
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  • 12
    Acl

    Acl

    A powerful server and network library, including coroutine

    The Acl (Advanced C/C++ Library) project a is powerful multi-platform network communication library and service framework, supporting LINUX, WIN32, Solaris, FreeBSD, MacOS, AndroidOS, iOS. Many applications written by Acl run on these devices with Linux, Windows, iPhone and Android and serve billions of users. There are some important modules in Acl project, including network communcation, server framework, application protocols, multiple coders, etc. The common protocols such as...
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  • 13
    Dream Framework

    Dream Framework

    Tidy, feature-complete Web framework

    Dream is an easy-to-use, boilerplate-free Web framework, whose entire API fits on this page! It supports TLS, WebSockets, and GraphQL. HTTP/2 support is transparent. A nice log and OCaml runtime configuration. Easy-to-use, secure helpers for round-tripping cookies and forms. Templates that interleave OCaml with already-familiar HTML. A fully composable router. Session management with pluggable back ends; and unified error handling that leaks no English strings from any level of your app. You...
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  • 14
    Livebook

    Livebook

    Interactive and collaborative code notebooks for Elixir

    Livebook is a web application for writing interactive and collaborative code notebooks. Write notebooks in Livebook then securely deploy and share them with your team and company with Livebook Hub/Enterprise. Code notebooks with Markdown support and Code cells where Elixir code is evaluated on demand. Rich code editor through Monaco: with support for autocompletion, inline documentation, code formatting, etc. Interactive results via Kino: display Vega-Lite charts, tables, maps, and more....
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  • 15
    Slick database

    Slick database

    Slick (Scala Language Integrated Connection Kit) is a modern database

    Slick is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. You can write your database queries in Scala instead of SQL, thus profiting from the static checking, compile-time safety and compositionality of Scala. Slick features an extensible query compiler which can generate code for different...
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  • 16
    Vuefire

    Vuefire

    Firebase bindings for Vue.js & Vuex

    Firebase provides two solutions to handle real-time databases: Realtime Database and Cloud Store (which is also a realtime database). In order to keep all clients data in-sync with its cloud database, their js SDK provides the tools to do so. However, it quickly becomes bothersome to bind multiple documents or collections to your application, keep them synchronized as well as handling references to other documents or collections, which can contain references themselves and must also be kept...
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  • 17
    MIDWAY

    MIDWAY

    Serverless Framework for front-end/full-stack developers

    A Node.js serverless framework for front-end/full-stack developers. Build the application for next decade. Works on AWS, Alibaba Cloud, Tencent Cloud, and traditional VM/Container. Super easy integrate with React and Vue. There are many similar frameworks in the community, so why do you need Midway? Midway is a framework that Alibaba has been developing continuously. Before egg was used as the underlying framework, an application-oriented framework was required to connect with the group's...
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  • 18
    DataLoader

    DataLoader

    Generic utility to use with an application's data fetching layer

    DataLoader is a generic utility to be used as part of your application's data fetching layer to provide a simplified and consistent API over various remote data sources such as databases or web services via batching and caching. A port of the "Loader" API originally developed by @schrockn at Facebook in 2010 as a simplifying force to coalesce the sundry key-value store back-end APIs which existed at the time. At Facebook, "Loader" became one of the implementation details of the "Ent"...
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  • 19
    AgentGuide

    AgentGuide

    AI Agent Development Guide, LangGraph in Action, Advanced RAG

    AgentGuide is an open-source learning resource designed to provide a structured pathway for understanding and building AI agents. The project aggregates tutorials, research papers, frameworks, and practical resources related to agent development with large language models. Instead of presenting scattered resources, the repository organizes them into a systematic learning roadmap that guides learners from foundational concepts to advanced AI agent systems. The guide covers topics such as...
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  • 20
    All-in-RAG

    All-in-RAG

    Big Model Application Development Practice 1

    All-in-RAG is an open-source educational project designed to teach developers how to build applications using retrieval-augmented generation techniques. The repository provides a structured learning path that covers both theoretical foundations and practical implementation steps for RAG systems. It explains the full development pipeline required to create knowledge-aware AI assistants, including data preparation, document indexing, vector embedding generation, and retrieval strategies. ...
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  • 21
    LLMSurvey

    LLMSurvey

    A Survey of Large Language Models

    LLMSurvey is an open-source research repository that aggregates academic papers, resources, and references related to large language models. The project is closely associated with the academic survey titled “A Survey of Large Language Models,” which provides a comprehensive overview of the development, architecture, capabilities, and societal implications of modern LLMs.
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  • 22
    Step-Audio 2

    Step-Audio 2

    Multi-modal large language model designed for audio understanding

    Step-Audio2 is an advanced, end-to-end multimodal large language model designed for high-fidelity audio understanding and natural speech conversation: unlike many pipelines that separate speech recognition, processing, and synthesis, Step-Audio2 processes raw audio, reasons about semantic and paralinguistic content (like emotion, speaker characteristics, non-verbal cues), and can generate contextually appropriate responses — including potentially generating or transforming audio output. It...
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  • 23
    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,...
    Downloads: 1 This Week
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  • 24
    AWS SAM CLI

    AWS SAM CLI

    CLI tool to build, test, debug, and deploy Serverless applications

    The AWS Serverless Application Model (SAM) CLI is an open-source CLI tool that helps you develop serverless applications containing Lambda functions, Step Functions, API Gateway, EventBridge, SQS, SNS and more. The AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications. It provides shorthand syntax to express functions, APIs, databases, and event source mappings.
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  • 25
    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...
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