Search Results for "databases" - Page 10
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Showing 1797 open source projects for "databases"
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SPQR
Stateless Postgres Query Router
SPQR is a sharding proxy for PostgreSQL that enables horizontal scalability by distributing queries across multiple PostgreSQL instances. Designed for large-scale, multi-tenant architectures, SPQR routes, rewrites, and manages SQL queries to ensure they are executed efficiently across shards. It provides a PostgreSQL-compatible interface so applications can scale transparently without code changes. -
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floci
Light, fluffy, and always free, the AWS Local Emulator alternative
...The project emphasizes no accounts, no authentication gates, no paid feature tiers, and broad local service coverage. It supports many AWS-style services, including storage, queues, databases, identity, compute, streaming, deployment, and infrastructure-related APIs. Floci is useful for development teams that want faster feedback loops, cheaper local testing, and repeatable integration environments. It also includes compatibility testing, multi-account isolation, persistence modes, SDK integration, and migration guidance for teams coming from other local cloud emulators. -
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Superglue
Builds integrations and tools from natural language
Superglue is an AI-powered integration platform that enables developers to build production-grade tools and workflows using natural language, abstracting away the complexity of connecting APIs, databases, and external systems. It functions as a universal integration layer that allows users to define workflows in plain language, which are then translated into executable pipelines capable of interacting with multiple services. One of its defining features is its ability to handle authentication, schema mapping, and data transformation automatically, reducing the need for manual configuration when connecting systems. ... -
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Drizzle ORM
Headless TypeScript ORM with a head. Runs on Node, Bun and Deno
Drizzle ORM is a lightweight, TypeScript-first Object-Relational Mapping (ORM) tool designed for modern JavaScript runtimes. It supports environments like Node.js, Bun, Deno, and even edge runtimes, providing developers with a flexible and type-safe way to interact with databases. Drizzle ORM emphasizes performance and developer experience. -
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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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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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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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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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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Kangaroo
Kangaroo is an AI-powered SQL client and admin tool for popular dbs
...It allows users to write, analyze, and optimize SQL queries using natural language assistance, making database operations more accessible and efficient. The tool is intended for developers, analysts, and data professionals who want to simplify complex query generation and debugging processes. It integrates with databases to provide context-aware suggestions, helping users understand schema structures and relationships. Kangaroo also supports conversational querying, enabling users to describe what they want to retrieve and receive corresponding SQL queries. The system aims to bridge the gap between traditional database tools and modern AI-driven workflows. ... -
Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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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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OSXPhotos
Python app to work with pictures and associated metadata
...Limited support is also provided for exporting photos and metadata from iPhoto libraries. Only iPhoto 9.6.1 (the final release) has been tested. This package will read Photos databases for any supported version on any supported macOS version. E.g. you can read a database created with Photos 5.0 on MacOS 10.15 on a machine running macOS 10.12 and vice versa. -
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Prisma
Next-generation ORM for Node.js and TypeScript
...Prisma Client is a query builder that composes the way you think and gets auto-generated from the Prisma schema with types tailored to your app. We designed the API to be intuitive for both SQL veterans and people brand new to databases. Auto-completion, linting, formatting and more help Prisma developers in VSCode stay confident without distractions. Prisma Client puts extra emphasis on extensive type safety for more productive development in TypeScript. Prisma is a server-side library that helps your app read and write data to the database in an intuitive and safe way. -
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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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Supabase Wrappers
Postgres Foreign Data Wrapper development framework in Rust
Supabase Wrappers is a collection of PostgreSQL extensions (written in Rust) that allow Postgres to interact with external systems like APIs, files, and other databases. It uses Foreign Data Wrappers (FDWs) to treat external resources as if they were native SQL tables, enabling seamless integration with external services directly from SQL queries. -
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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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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. -
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dplyr
dplyr: A grammar of data manipulation
dplyr is an R package that provides a consistent and intuitive grammar for data manipulation, enabling users to filter, arrange, summarize, and transform data efficiently. Part of the tidyverse ecosystem, dplyr simplifies complex data operations through a clear and readable syntax, whether working with data frames, tibbles, or databases. It is widely used in data science and statistical analysis workflows. -
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OpenLIT
OpenLIT is an open-source LLM Observability tool
...OpenLIT makes integrating observability into GenAI projects effortless with just a single line of code. Whether you're working with popular LLM providers such as OpenAI and HuggingFace, or leveraging vector databases like ChromaDB, OpenLIT ensures your applications are monitored seamlessly, providing critical insights including GPU performance stats for self-hosted LLMs to improve performance and reliability. This project proudly follows the Semantic Conventions of the OpenTelemetry community, consistently updating to align with the latest standards in observability. -
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Langtrace
Open Telemetry based end-to-end observability tool for LLM apps
Langtrace is an open-source, Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations, and metrics for popular LLMs, LLM frameworks, vectors, and more.. Integrate using Typescript, and Python. Langtrace is an open-source observability tool that collects and analyzes traces and metrics to help you improve your LLM apps. -
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Laravel Nestedset
Effective tree structures in Laravel 4-8
This is a Laravel 4-10 package for working with trees in relational databases. NSM shows good performance when the tree is updated rarely. It is tuned to be fast for getting related nodes. It'is ideally suited for building multi-depth menus or categories for shops. The nested set model is to number the nodes according to a tree traversal, which visits each node twice, assigning numbers in the order of visiting, and at both visits. -
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Awesome Mac
Collect premium software in various categories
...Regular expression editors, API development and analysis, network analysis, command line tools, frameworks for hybrid applications, version control. Virtualization, databases, design and product, design tools, prototyping and mind-mapping tools, screen capturing software, etc. Major software download sites, there are a number of OSX Mac software sites. This project exists thanks to all the people who contribute. -
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MemPalace
The highest-scoring AI memory system ever benchmarked
MemPalace is an open-source AI memory system designed to solve one of the most persistent limitations of large language models: the loss of context between sessions. Instead of relying on summarization or selective extraction like most memory tools, it takes a radically different approach by storing conversations in their entirety and making them retrievable through structured organization and semantic search. The system is inspired by the classical “memory palace” mnemonic technique,... -
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Tilt
Define dev environment as code for microservice apps on Kubernetes
...Understand & orchestrate your services, work smarter & faster wherever you are, and team-based productivity. See all the pieces of your app, and trigger custom workflows like seeding databases or creating infrastructure. Our engine starts the whole app and runs automated rebuilds as you edit in your IDE. Get a continuous feedback loop with your logs, broken builds, and runtime errors. Work with Kubernetes without needing to be an expert. And if you are an expert, no more 20 questions with kubectl. Tilt responsively handles the tedious and repetitive parts of your workflow and gives you peripheral vision so you find errors faster. ... -
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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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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.
