Search Results for "stores"
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Showing 47 open source projects for "stores"
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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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Gocache
Go cache library that brings you multiple ways to manage caches
...A marshaler to automatically marshal/unmarshal your cache values as a struct. Define default values in stores and override them when setting data. Cache invalidation by expiration time and/or using tags. Use of Generics. To begin working with the latest version of gocache, you can import the library in your project. -
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ArduinoJson
JSON library for Arduino and embedded C++. Simple and efficient
...ArduinoJson supports two coding styles, with implicit or explicit casts. ArduinoJson deduplicates strings in the JSON document. When you have several identical keys or values, the JsonDocument only stores one of each. In practice, this feature reduces memory consumption by 20-30%. -
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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. -
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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OpenAI .NET
The official .NET library for the OpenAI API
OpenAI .NET is the official client library for calling the OpenAI REST API from C# and other .NET languages, with first-class support for modern .NET patterns. It provides strongly typed clients across API areas (chat, audio, images, embeddings, moderations, batches, files, models, vector stores, responses, realtime, assistants) and works with .NET Standard 2.0 while the examples use .NET 8. You install it via NuGet and authenticate with an API key, ideally through environment variables or configuration rather than hardcoding. Every synchronous method has an async counterpart, and the library offers convenient streaming primitives for chat completions so you can process tokens as they arrive. ... -
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nosvelte
An experimental Svelte library for building Nostr apps easily
An experimental Svelte library for building Nostr apps easily. -
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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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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... -
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IndexedDB with usability
IndexedDB, but with promises
idb is a small JavaScript library that makes the browser's IndexedDB API easier to use without replacing its core model. It largely mirrors native IndexedDB while converting IDBRequest results into promises. Developers can open, upgrade, and delete databases through concise asynchronous helpers. Enhanced database, transaction, store, and cursor objects reduce boilerplate while remaining close to the platform API. The library also provides wrapping and unwrapping helpers for moving between... -
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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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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IDB-Keyval
A super-simple-small promise-based keyval store
...It includes single and batch operations for reading, writing, and deleting data, along with clear, key, value, and entry helpers. Its update helper queues changes to avoid common non-atomic read-modify-write problems. Custom stores are supported, while more complex indexing, iteration, transactions, and schema management are intentionally left to fuller IndexedDB libraries. -
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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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The Unicity Whitepaper
High-level overview of Unicity, the Autonomous Agentic Internet
...The paper map connects this overview to separate technical documents covering consensus, data availability, aggregation shards, zero-knowledge consistency, execution privacy, predicates, and atomic swaps. The repository stores the main document as LaTeX source with shared files, images, and build automation. Readers can download the compiled PDF or inspect and revise the source directly. It serves as the conceptual entry point to the wider Unicity protocol documentation. -
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swyx's second brain
Public obsidian store of resources and lists and stuff
swyx's second brain is Shawn Wang's public second-brain repository and digital garden, maintained as a collection of raw Obsidian notes. It stores personal research, resource lists, project ideas, writing material, reviews, career notes, and recurring observations. The folders follow the PARA approach, separating projects, ongoing areas, reference resources, and archived material. It also consolidates several older public lists covering developer tools, podcasts, automation, email utilities, and other technical interests. ... -
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Mechanize
Mechanize is a ruby library that makes automated web interaction easy
The Mechanize library is used for automating interaction with websites. Mechanize automatically stores and sends cookies, follows redirects, and can follow links and submit forms. Form fields can be populated and submitted. Mechanize also keeps track of the sites that you have visited as a history. This library was heavily influenced by its namesake in the Perl world. Mechanize#transact runs the given block and then resets the page history. -
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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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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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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. -
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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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Faiss
Library for efficient similarity search and clustering dense vectors
Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It... -
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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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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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Node.js Testing Best Practices
Beyond the basics of Node.js testing
This repository narrows the testing lens to Node.js backends, focusing on the challenges of servers, microservices, and cloud-native deployments. It covers API testing, contract testing, and persistence-layer strategies that avoid coupling tests to fragile implementation details. 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... -
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TensorStore
Library for reading and writing large multi-dimensional arrays
TensorStore is a high-performance library for reading and writing N-dimensional arrays that live in many different storage systems, from local files to cloud object stores. It separates the logical view (shape, dtype, chunking) from the physical layout so the same code can target Zarr, N5, TIFF pyramids, or custom backends. Rich indexing, slicing, and broadcasting operations make it feel like a familiar array API, while asynchronous I/O pipelines stream chunks efficiently in parallel. Transactional semantics allow atomic updates and consistent snapshots, which is essential for large, shared datasets used by ML and scientific workflows. ... -
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Petastorm
Petastorm library enables single machine or distributed training
...Petastorm supports popular Python-based machine learning (ML) frameworks such as Tensorflow, PyTorch, and PySpark. It can also be used from pure Python code. A dataset created using Petastorm is stored in Apache Parquet format. On top of a Parquet schema, petastorm also stores higher-level schema information that makes multidimensional arrays into a native part of a petastorm dataset. Petastorm supports extensible data codecs. These enable a user to use one of the standard data compressions (jpeg, png) or implement her own.