Search Results for "databases" - Page 10
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Showing 2177 open source projects for "databases"
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BigQuery Emulator
BigQuery emulator server implemented in Go
...The emulator supports a large portion of the BigQuery API surface, including dataset management, query execution, and data ingestion, allowing applications to interact with it as if it were the real service. It uses SQLite as its underlying storage engine, with options for in-memory or persistent file-based databases depending on the use case. The system also implements many features of Google Standard SQL, including hundreds of functions and advanced query constructs, enabling realistic query testing. -
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PostfixAdmin
Web based virtual user administration interface for Postfix mail
PostfixAdmin is a web-based interface for managing mail domains, mailboxes, and aliases for Postfix mail servers. It allows administrators to add and configure virtual domains and email users easily, supporting MySQL, PostgreSQL, and SQLite as backend databases. It's widely used in self-hosted email setups for simplifying email management. -
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FreeSql
.NET aot orm, VB.NET/C# orm, Mysql/PostgreSQL/SqlServer/Oracle orm
FreeSql is a robust ORM (Object Relational Mapper) for .NET that supports multiple databases like MySQL, PostgreSQL, SQLite, Oracle, and SQL Server. It provides advanced features such as automatic entity mapping, LINQ-style queries, caching, and database-first or code-first workflows. Designed for developers who want full control and performance without sacrificing productivity. -
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Recap
Recap tracks and transform schemas across your whole application
Recap is a schema language and multi-language toolkit to track and transform schemas across your whole application. Your data passes through web services, databases, message brokers, and object stores. Recap describes these schemas in a single language, regardless of which system your data passes through. Recap schemas can be defined in YAML, TOML, JSON, XML, or any other compatible language. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Prisma Client Python
Prisma Client Python is an auto-generated and fully type-safe database
prisma-client-py is an auto-generated Python ORM for Prisma schema files, bringing Prisma's developer experience to Python projects. It provides a type-safe, intuitive interface for interacting with databases like PostgreSQL and MySQL. prisma-client-py is ideal for Python developers who want static typing, code completion, and seamless integration with modern backend stacks. -
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AgentRun
The easiest, and fastest way to run AI-generated Python code safely
AgentRun is a framework for building autonomous AI agents capable of executing complex tasks with minimal human intervention. It provides a structured environment for defining agent behaviors, managing workflows, and integrating AI models to achieve specific goals. -
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trustfall
A query engine for any combination of data sources
trustfall is a flexible and extensible query engine designed to retrieve and analyze data from a wide variety of heterogeneous sources using a unified query language. It allows developers to query APIs, databases, files, and even structured outputs from AI systems as if they were part of a single, cohesive graph-based dataset. The system is inspired by GraphQL-like paradigms, enabling expressive and composable queries that can traverse relationships across different data domains seamlessly. Trustfall operates by parsing, compiling, and executing queries through adapters that connect to specific data sources, making it highly modular and adaptable to new environments. ... -
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GoAnime
A TUI tool to browse, stream, and download anime in PT-BR and EN
...It supports both streaming and downloading workflows, allowing users to either watch episodes instantly or save them locally for offline viewing. The system includes additional features such as progress tracking, playback resumption, and metadata enrichment through integrations with external databases. It also supports both subbed and dubbed content in multiple languages, making it accessible to a broader audience. -
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Cheshire Cat AI
AI agent microservice
...It allows developers to create advanced AI assistants that can interact through WebSockets, REST APIs, and embedded chat interfaces, making it suitable for both backend services and user-facing applications. The framework includes built-in support for retrieval-augmented generation using vector databases such as Qdrant, enabling agents to incorporate external knowledge and documents into their responses. It is highly extensible through a plugin system that supports custom tools, event hooks, and workflows, giving developers fine-grained control over agent behavior and interactions. Cheshire Cat also supports multi-user environments with granular permissions and identity provider integration, making it suitable for enterprise use cases. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Memori
SQL-native memory layer enabling persistent context for AI agents
...It provides a memory layer that automatically captures conversations and interactions between users and AI models, allowing systems to retain knowledge across sessions instead of operating statelessly. It extracts structured information such as facts, preferences, rules, and summaries from interactions and stores them in standard SQL databases for later retrieval. By recalling relevant context during future model calls, Memori helps AI agents produce more consistent and context-aware responses while reducing the need to repeatedly provide background information. Memori is designed to work with multiple LLM providers, data stores, and AI frameworks, allowing it to integrate into existing software architectures without requiring major changes. -
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SmythOS
Cloud-native runtime for agentic AI
...It provides a foundational infrastructure layer that functions similarly to an operating system for agentic AI systems, managing resources such as language models, storage, vector databases, and caching through a unified interface. Developers can use the runtime to create, deploy, and orchestrate intelligent agents across local machines, cloud environments, or hybrid infrastructures without rewriting their application logic. The platform includes a software development kit and command-line interface that allow developers to define agent workflows, manage execution environments, and automate deployment processes. ... -
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ReCall
Learning to Reason with Search for LLMs via Reinforcement Learning
...The project builds on earlier work focused on teaching models how to search for information during reasoning tasks and extends that idea to a broader system where models can call a variety of external tools such as APIs, databases, or computation engines. Instead of relying purely on static knowledge stored inside the model, ReCall allows the language model to dynamically decide when it should retrieve information or invoke external capabilities during the reasoning process. The framework uses reinforcement learning to train models to perform these tool calls effectively while solving multi-step reasoning tasks. -
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CAG
Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
CAG, or Cache-Augmented Generation, is an experimental framework that explores an alternative architecture for integrating external knowledge into large language model responses. Traditional retrieval-augmented generation systems rely on real-time retrieval of documents from databases or vector stores during inference. CAG proposes a different approach by preloading relevant knowledge into the model’s context window and precomputing the model’s key-value cache before queries are processed. This strategy allows the model to generate responses using the cached context directly, eliminating the need for repeated retrieval operations during runtime. ... -
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Paperclip
Open-source orchestration for zero-human companies
...The project implements a server based on the Model Context Protocol (MCP), a framework that allows large language models and AI agents to connect to external data sources and tools in a consistent way. By acting as a middleware layer, Paperclip aggregates multiple academic databases and exposes them through a single interface, allowing AI applications to search and retrieve scholarly papers without needing to integrate with each provider individually. The system supports repositories such as arXiv, OpenAlex, and the Open Science Framework, giving AI agents access to a large body of research literature. Instead of requiring separate APIs and authentication flows for each service, Paperclip provides unified search and retrieval capabilities that simplify integration into AI workflows. -
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freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum
freeCodeCamp is a nonprofit educational platform that offers a self-paced curriculum for learning web development, programming, data visualization, APIs, and algorithms. It features interactive coding challenges, real-world projects, and guided progress through topic modules, culminating in certificates for completed tracks. A key aspect is that students contribute to open-source projects for nonprofits or internal tooling as part of their learning, reinforcing both technical and... -
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MongoDB Ruby Driver
The Official MongoDB Ruby Driver
The MongoDB Ruby Driver is the official MongoDB client for Ruby applications, providing an idiomatic API to interact with MongoDB databases. It enables seamless integration with Ruby on Rails and other Ruby-based frameworks for NoSQL data management. -
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Firebase Admin Python SDK
Firebase Admin Python SDK
...Create your own simplified admin console to do things like look up user data or change a user's email address for authentication. Access Google Cloud resources like Cloud Storage buckets and Cloud Firestore databases associated with your Firebase projects. Programmatically send Firebase Cloud Messaging messages using a simple, alternative approach to the Firebase Cloud Messaging server protocols. We currently support Python 3.7+. Firebase Admin Python SDK is also tested on PyPy and Google App Engine environments. -
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pglogical
Logical Replication extension for PostgreSQL
pglogical is an advanced logical replication extension for PostgreSQL that allows selective replication of data between databases. Unlike physical replication, it enables fine-grained control of which tables or changes to replicate. It’s well-suited for multi-master setups, version upgrades, and real-time data distribution across environments. -
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aaPanel
Simple but Powerful web-based Control Panel
...It allows users to deploy and manage web environments such as LAMP or LNMP stacks with a single click, reducing the need for command-line operations. The platform provides tools for managing websites, databases, FTP services, SSL certificates, and server security from a centralized dashboard. It also includes monitoring features that display real-time resource usage and performance metrics. aaPanel is designed for both beginners and experienced administrators, emphasizing ease of use and rapid deployment. The system supports plugins and extensions that expand its capabilities, including Docker management and automated backups. ... -
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Nelmio Alice
Expressive fixtures generator
...It uses YAML, XML, or PHP files to define fixture templates, making it easy to create realistic and varied data sets. Alice integrates well with Doctrine ORM, allowing developers to quickly populate databases with test data, making it especially useful for automated testing and staging environments. -
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web2py
Free and open source full-stack enterprise framework
...No third-party dependencies but works with third-party tools. Create, modify, deploy and manage applications from anywhere using your browser. One web2py instance can run multiple web sites using different databases. Try the interactive demo. Start with some quick examples, then read the manual and the Sphinx docs, watch videos, and join a user group for discussion. Take advantage of the layouts, plugins, appliances, and recipes. -
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pgai
A suite of tools to develop RAG, semantic search, and other AI apps
pgai is a suite of PostgreSQL extensions developed by Timescale to empower developers in building AI applications directly within their databases. It integrates tools for vector storage, advanced indexing, and AI model interactions, facilitating the development of applications like semantic search and Retrieval-Augmented Generation (RAG) without leaving the SQL environment. -
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SqlSugar
.Net aot ORM Fastest ORM DB2 Hana Simple Easy VB.NET Sqlite orm
SqlSugar is a high-performance, easy-to-use Object-Relational Mapping (ORM) framework for .NET. It supports multiple database systems and offers a rich set of features that simplify database operations, making it a popular choice among .NET developers. -
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ViMax
Director, Screenwriter, Producer, and Video Generator All-in-One
...It integrates components like visual encoders, cross-modal fusion techniques, and reasoning modules so that users can go beyond simple captioning or classification to perform tasks such as visual question answering, multi-image inference, and structured scene understanding. ViMax’s design accommodates large image sets and supports retrieval augmentation, enabling it to work with external image databases, supplementary metadata, and semantic search to enhance context awareness. The system aims to bridge foundational vision backbones and generative language models through adapters and fusion layers that maximize both signal integration and reasoning depth, and includes utility pipelines for training, evaluation, and deployment. -
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QAnything
Question and Answer based on Anything
QAnything is a local knowledge-base question-answering system designed to let users ask questions over many kinds of files and databases. It supports offline installation, making it useful for organizations that need private document analysis without sending data to external services. Users can upload local files and receive fast, reliable answers based on the indexed content. The system supports formats such as PDF, Word, PowerPoint, Excel, Markdown, email, text, images, CSV, and web links. ...
