Search Results for "stores"
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75 projects for "stores" with 2 filters applied:
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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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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Redis Store
Cache Redis stores for Ruby web frameworks
Redis Store provides a full set of stores (Cache, I18n, Session, HTTP Cache) for modern Ruby frameworks like: Ruby on Rails, Sinatra, Rack, Rack::Cache and I18n. It supports object marshaling, timeouts, single or multiple nodes, and namespaces. -
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bagisto
Free and open source laravel eCommerce platform
Bagisto is an opensource Laravel eCommerce framework built on some of the hottest technologies such as Laravel (a PHP framework) and Vue.js a progressive Javascript framework. Bagisto can help you cut down your time, cost, and workforce for building online stores or migrating from physical stores to the ever-demanding online world. Your business, whether small or huge—can benefit. The best part, it's straightforward to set it up. The power of headless Laravel commerce now comes to Bagisto enabling you to experience seamless and easily scalable storefront performance. Backed by some of the hottest tech stacks (Vue and React), Bagisto commerce can now be used to build powerful headless commerce solutions offering blazing-fast speed and easy customization powered by Vue Storefront and Next.js. -
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Chronicle Queue
Micro second messaging that stores everything to disk
Micro second messaging that stores everything to disk. With millions of users worldwide, Chronicle Queue is a leading choice for organizations of all sizes seeking a low-latency, high-performance messaging framework. The Chronicle Queue Enterprise version eliminates compatibility issues and allows for the seamless integration and sharing of data between Java, Rust, Python, and C++ libraries. -
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Commanded
Use Commanded to build Elixir CQRS/ES applications
Commanded is an Elixir framework for implementing CQRS (Command Query Responsibility Segregation) and Event Sourcing patterns. It provides domain-driven design tools—aggregates, commands, events, and projections—backed by an event store (e.g. PostgreSQL). -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Raglite
RAGLite is a Python toolkit for Retrieval-Augmented Generation
Raglite is a lightweight framework for building Retrieval-Augmented Generation (RAG) pipelines with minimal configuration. It connects large language models to vector databases for context-aware responses, enabling developers to prototype and deploy RAG systems quickly. Raglite focuses on simplicity and modularity for fast experimentation. -
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Cowart
Local infinite canvas plugin for Codex
...Built on top of tldraw, it provides a visual workspace where users can brainstorm ideas, annotate images, generate new artwork, and iterate on existing visuals through AI-assisted editing. The canvas runs as a local web service and stores project data directly inside the user's workspace rather than in the plugin repository, making it suitable for project-centric workflows. Cowart enables Codex to interact with the canvas through MCP tools that can read selections, insert generated images, and manage local assets. Users can create AI image holders on the canvas and have Codex automatically generate images that match the selected frame and aspect ratio. ... -
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LLPhant
A comprehensive PHP Generative AI Framework
...The framework focuses on usability by offering straightforward APIs for tasks like embeddings, question answering, and vector search, which are commonly required in real-world applications. It includes support for vector stores, enabling developers to build retrieval-augmented generation systems using structured or unstructured data. LLPhant also allows integration with external services and tools, making it possible to extend model capabilities beyond text generation into actionable workflows. -
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Maelstrom
A workbench for writing toy implementations of distributed systems
...It provides standardized JSON-based protocols and test harnesses (via Jepsen) to validate the behavior of custom toy systems—like commutative sets or transactional key-value stores—under simulated failure conditions. You implement your server in any language, connect through stdin/stdout, and the framework injects network disruptions, partitions, and consistency checks. -
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Go Container Registry
Go library and CLIs for working with container registries
go-containerregistry is a Go library (with companion tools) for interacting with container images and registries using OCI/Docker formats. It provides primitives to read, write, mutate, sign, and copy images and indexes across registries without shelling out to Docker. High-level utilities like crane and gcrane offer convenient CLIs for everyday tasks—listing tags, copying images between registries, flattening, creating tarballs, and more. The library handles authentication via a pluggable... -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Boneyard
Auto generated skeleton loading framework
Boneyard is an experimental or utility-focused repository that serves as a collection of discarded, archived, or exploratory code projects. It functions as a sandbox where developers can store unfinished ideas, prototypes, or deprecated implementations without removing them entirely. The project provides a space for experimentation, allowing developers to revisit past work, extract useful components, or learn from previous attempts. It often contains a variety of code snippets or... -
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cls-rtracer
CLS-based request id generation for Express, Fastify, Koa and Hapi
...An out-of-the-box solution for adding request IDs into your logs. Check out this blog post that describes the rationale behind cls-rtracer. Automatically generates a UUID V1 value as the id for each request and stores it in AsyncLocalStorage. Optionally, if the request contains an X-Request-Id header, uses its value instead. Allows to obtain the generated request id anywhere in your routes later and use it for logging or any other purposes. -
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LangChain.dart
Build LLM-powered Dart/Flutter applications
LangChain.dart is a Dart and Flutter implementation of the LangChain framework, designed to enable developers to build LLM-powered applications for mobile, web, and cross-platform environments. It provides a structured way to integrate language models into applications by offering abstractions for chains, agents, embeddings, and vector stores. The framework supports multiple providers and includes packages for integrating with services such as OpenAI, Google AI, and Firebase, allowing developers to build both local and cloud-based AI workflows. It is designed with developer experience in mind, offering strongly typed APIs, modular packages, and seamless integration into Flutter applications. ... -
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Eloquent Viewable
Associate views with Eloquent models in Laravel
...Then this package comes in handy. Eloquent Viewable allows you to easily associate views with Eloquent models. It's designed with simplicity in mind. This package stores each view record individually in the database. The advantage of this is that it allows us to make very specific counts. For example, if we want to know how many people has viewed a specific post between January 10 and February 17 in 2018, we can do the following: views($post)->period(Period::create('10-01-2018', '17-02-2018'))->count();. ... -
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LangChainGo
LangChain for Go, the easiest way to write LLM-based programs in Go
LangChainGo is a Go-based implementation of the LangChain framework, designed to help developers build applications powered by large language models using the Go programming language. It provides a modular architecture that allows developers to combine components such as language models, chains, agents, memory systems, and vector stores into flexible workflows. The framework emphasizes composability, making it easy to create complex pipelines that integrate LLMs with external data sources, APIs, and tools. It supports multiple providers including OpenAI, Anthropic, Google, and local models, offering a unified interface for interacting with different backends. LangChainGo also includes support for embeddings, semantic search, and retrieval-augmented generation, enabling developers to build data-aware applications. ... -
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Tenancy for Laravel
Automatic multi-tenancy for Laravel. No code changes needed
...Database connections are switched, caches are separated, filesystems are prefixed, etc. Out of the box, the package makes the following things tenant-aware: databases, caches, filesystems, queues, redis stores. This means that if you've already written your app and are looking to make it multi-tenant, you don't have to change anything. -
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Vouch
A community trust management system based on explicit vouches
...With Vouch, existing trusted contributors explicitly “vouch” for new community members before they can participate in selected parts of the project, and they can also “denounce” users to block them should they act in bad faith. The system stores trust decisions in a simple flat file format that integrates easily with version control and can be parsed using standard tools, making the trust layer lightweight and transparent. -
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aws-cli
Universal Command Line Interface for Amazon Web Services
The AWS CLI is the universal command-line interface for managing AWS services, automating tasks, and scripting cloud workflows. It exposes nearly every public API from EC2 and S3 to IAM, Lambda, and beyond, providing parity with the service SDKs in a tool you can run anywhere. Profiles, regions, single-sign-on, and credential helpers make it straightforward to switch contexts securely across accounts and environments. Its output controls and JMESPath querying let you slice, filter, and... -
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Rapid YAML
Library to parse and emit YAML, and do it fast
...The data tree is a flat index-based structure stored in a single array. Serialization happens only at your direct request, after parsing / before emitting. Internally, the data tree representation stores only string views and has no knowledge of types, but of course, every node can have a YAML type tag. ryml makes it easy and fast to read and modify the data tree. -
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Siddhi Core Libraries
Stream Processing and Complex Event Processing Engine
...Event processing logic can be written using Streaming SQL queries via graphical and source editors, to capture events from diverse data sources, process and analyze them, integrate with multiple services and data stores, and publish output to various endpoints in real time. Agile development experience with SQL-like query language and graphical drag-and-drop editor supporting event simulation. Lightweight runtime that can natively run on Kubernetes, Docker, VM, or bare metal, and embedded in any Java or Python application. Scalable, and highly available distributed event processing on Kubernetes, with NATS Streaming and Siddhi Kubernetes Operator. -
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CFnew
Cloudflare Workers-based proxy deployment project
CFnew is a Cloudflare Workers-based proxy deployment and subscription management project focused on generating optimized client configurations. It supports multiple proxy protocols and lets users manage paths, preferred IPs, and output formats through a more convenient interface. The project stores configuration through Cloudflare KV, which allows changes to take effect without redeploying the worker each time. It includes latency testing tools and automated format detection so different clients can receive compatible subscription output. cfnew is designed for users who need a flexible Cloudflare-backed node configuration system rather than a simple static link generator. ... -
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General
The official registry of general Julia packages
General is the default package registry for the Julia programming language, providing the foundation for Julia’s package manager, Pkg.jl. It stores essential information about packages, including versions, dependencies, and compatibility constraints, and serves as the central hub for the Julia package ecosystem. The registry is open to all and makes it easy for developers and researchers to access, install, and share packages across a wide range of domains. New packages and updates are added through pull requests, often automated via Registrator.jl, with qualifying requests merged automatically while others undergo manual review. ... -
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Doctor Dok
Doctor Dok is an AI based medical data framework
...Using AI you may translate your health records to one of 50+ languages - making abroad health services more accessible. Doctor Dok uses AI to OCR even a hardly readable photo of your health documents. Then stores it in the cloud with Zero Trust Security architecture (nobody but You can decrypt the data). -
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Interface Design
Design engineering for Claude Code
...It’s built around the idea that when building UI (dashboards, apps, admin panels), design decisions like spacing, colors, depth, and component patterns can drift over time, so Interface-Design captures and stores those decisions in a system MD file that’s loaded automatically each session. The plugin prompts users to confirm a design direction early in the process and then applies those principles consistently — from button sizes to spacing scales and color tokens — so work stays aligned with the established system. It also offers commands to inspect the current design system status, audit inconsistencies, and extract patterns back into a reusable format, making it a live feedback loop for quality UI work. -
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Apache Flink
Stream processing framework with powerful stream
...Developers program against high-level APIs—DataStream and Table/SQL—to express transformations, joins, and stateful patterns, while specialized libraries support CEP, machine learning workflows, and connectors. A rich connector ecosystem integrates with systems like Kafka, Kinesis, filesystems, JDBC sources/sinks, and object stores. Deployments span Kubernetes, YARN, Mesos, and standalone clusters, and operational features such as savepoints, state backends, and metrics make long-running jobs manageable in production. -
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Generative AI Examples
Generative AI Examples is a collection of GenAI examples
Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness.
