Search Results for "key value"
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Showing 26 open source projects for "key value"
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Akavache
An asynchronous, persistent key-value store
...Akavache is a library that makes common app patterns easy, and unifies caching of different object types (i.e. HTTP responses vs. JSON objects vs. images). It's built on a core key-value byte array store (conceptually similar to a Dictionary<string, byte[]>), and on top of that store, extensions are added to support Arbitrary objects via JSON.NET. -
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Flask-Caching
A caching extension for Flask
...The only stipulation is that you replace the key_prefix, otherwise it will use the request.path cache_key. Keys control what should be fetched from the cache. If, for example, a key does not exist in the cache, a new key-value entry will be created in the cache. Otherwise, the value (i.e. the cached result) of the key will be returned. -
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react-native-mmkv-storage
Encrypted mobile key-value storage framework for React Native
An ultra fast(0.0002s read/write), small & encrypted mobile key-value storage framework for React Native written in C++ using JSI. This library aims to provide a fast & reliable solution for you data storage needs in react-native apps. It uses MMKV by Tencent under the hood on Android and iOS both that is used by their WeChat app(more than 1 Billion users). Unlike other storage solutions for React Native, this library lets you store any kind of data type, in any number of database instances, with or without encryption in a very fast and efficient way. ... -
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MMKV for Android
An efficient, small mobile key-value storage framework
MMKV for Android is an efficient, small mobile key-value storage framework developed by WeChat. Works on Android, iOS, macOS, Windows, and POSIX. Efficient. MMKV uses mmap to keep memory synced with file, and protobuf to encode/decode values, making the most of Android to achieve best performance. MMKV supports concurrent read-read and read-write access between processes. Easy-to-use. -
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Ziggy
Use your Laravel routes in JavaScript
Ziggy provides a JavaScript route() function that works like Laravel's, making it a breeze to use your named Laravel routes in JavaScript. Ziggy supports Laravel's route-model binding, and can even recognize custom route key names. If you pass route() a JavaScript object as a route parameter, Ziggy will use the registered route-model binding keys for that route to find the correct parameter value inside the object. If no route-model binding keys are explicitly registered for a parameter, Ziggy will use the object's id key. -
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INI
Package ini provides INI file read and write functionality in Go
...Let you focus on the code logic and no more tedious conversions. Map your configuration to a user-defined struct{} to be more object-oriented. Map back and save when you get the work done. Auto-type conversion, candidate value limitation, quick slice generation, in-fly data validation. More than you can ever imagine! Multiple configuration load policies, custom data validation rules, key name and value mappers. Start hacking it now! -
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Nitric
Nitric is a multi-language framework for cloud applications
Nitric is a multi-language framework, with concise inline infrastructure from code. Modern applications should be robust, productive and a joy to build. Nitric solves common problems building for modern platforms. -
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AIOHTTP
Asynchronous HTTP client/server framework for asyncio and Python
...The main change is dropping yield from support and using async/await everywhere. Farewell, Python 3.4. You often want to send some sort of data in the URL’s query string. If you were constructing the URL by hand, this data would be given as key/value pairs in the URL after a question mark, e.g. httpbin.org/get?key=val. Requests allows you to provide these arguments as a dict, using the params keyword argument. aiohttp internally performs URL canonicalization before sending request. -
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electron-store
Simple data persistence for your Electron app or module
...Under the hood, the JSON Schema validator ajv is used to validate your config. We use JSON Schema draft-07 and support all validation keywords and formats. You should define your schema as an object where each key is the name of your data's property and each value is a JSON schema used to validate that property. -
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Maelstrom
A workbench for writing toy implementations of distributed systems
Maelstrom is a distributed-systems workbench by the Jepsen team. 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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JetCache
JetCache is a Java cache framework
JetCache is a Java cache abstraction that provides uniform usage for different caching solutions. It provides more powerful annotations than those in Spring Cache. The annotations in JetCache support native TTL, two-level caching, and automatically refresh in distributed environments, also you can manipulate Cache instances by your code. Currently, there are four implementations: RedisCache, TairCache(not open source on github), CaffeineCache (in memory) and a simple LinkedHashMapCache (in... -
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EaseProbe
A simple, standalone, and lightweight tool
...Connect to a MySQL server and run the SHOW STATUS SQL. Redis. Connect to a Redis server and run the PING command. Memcache. Connect to a Memcache server and run the version command or validate a given key/value pair. MongoDB. Connect to a MongoDB server and perform a ping. Kafka. Connect to a Kafka server and perform a list of all topics. -
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Spring Data Redis
Provides support to increase developer productivity in Java
Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. -
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gomodifytags
Go tool to modify struct field tags
Go tool to modify/update field tags in structs. gomodifytags makes it easy to update, add or delete the tags in a struct field. You can easily add new tags, update existing tags (such as appending a new key, i.e: db, xml, etc..) or remove existing tags. It also allows you to add and remove tag options. It's intended to be used by an editor, but also has modes to run it from the terminal. Read the usage section below for more information. This accepts the struct name. i.e: -struct Server. The... -
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Atomix
A Kubernetes toolkit for building distributed applications
Atomix is a cloud-native runtime for building stateful, scalable, configurable, and reliable distributed applications in Kubernetes. The Atomix API provides a set of high-level building blocks (referred to as distributed primitives) for building distributed systems. The architecture of Atomix incorporates the lessons learned from experience over the past decade of building high-availability cloud infrastructure. The primary focus of the project is to decouple applications from specific data... -
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mysqly
PHP data framework for Mysql
Full-featured opensource small-overhead PHP data framework for Mysql built for fast and efficient development -
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GraphQL HTTP Server Middleware
Create a GraphQL HTTP server with Express
...If you want to show GraphiQL in the browser, set graphiql, true on your .get handler. An optional function for adding additional metadata to the GraphQL response as a key-value object is provided. The result will be added to the "extensions" field in the resulting JSON. This is often a useful place to add development time metadata such as the runtime of a query or the amount of resources consumed. This may be an async function. The function is given one object as an argument: { document, variables, operationName, result, context }. -
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Flask-GraphQL
Adds GraphQL support to your Flask application
...If you are using the Schema type of Graphene library, be sure to use the graphql_schema attribute to pass as schema on the GraphQLView view. Otherwise, the GraphQLSchema from graphql-core is the way to go. The GraphQLSchema object that you want the view to execute when it gets a valid request. A value to pass as the context_value to graphql execute function. By default is set to dict with request object at key request. The root_value you want to provide to graphql execute. -
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Ujorm framework provides powerful objects based on the key-value architecture to common use. A part of the framework is the persistence module Ujorm designed for rapid Java development with great performance and a small footprint. Main features are type safe queries and no entity state. Important: there is available an obsolete Ujorm on the SourceForge, new changes are available on the Github only: https://github.com/pponec/ujorm
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go_spider
An awesome Go concurrent Crawler(spider) framework
...Json parsing is based on simple JSON package. Jsonp will converse to json. Text form represents plain text content without a parser. The PageProcesser moduler only parse results. The moduler gets results(key-value pairs) and URLs to be crawled next step. These key-value pairs will be saved in PageItems and urls will be pushed in Scheduler. -
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Mori
ClojureScript's persistent data structures and supporting API
...For vectors and maps we provide efficient thaw and freeze operations. All Mori maps and sets support all the non-mutating methods of the proposed ES6 Map and Set interfaces. The main difference with the spec is that key lookup is based on value not reference. keys, values, and entries methods return the proposed mutable iterators. -
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Gizzard
Framework for creating eventually-consistent distributed datastores
Gizzard is a Scala framework originally developed by Twitter for building scalable, fault-tolerant, distributed key-value stores that can be sharded and replicated. It provides infrastructure for routing requests through shard trees, splitting or rebalancing shards dynamically, failover, and migrations. In Gizzard, data is stored in underlying storage shards (which could be databases or other stores) and Gizzard handles the process of routing requests correctly as the cluster topology changes. ... -
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FFEntityFramework is an Object-Relational Mapping Framework (O-R Mapping / Object Persistence) for .NET with built-in features like Xml-Serialization, Model-View-Controller-Framework or UndoManagement ... All these Components use the same Meta-Base which can be definied via Attributes (Annotations) on your Business-Classes. Nevertheless differences between Xml- and Db-Serialization can be made via an enum MetaUsage (Database, Xml, Internal …). For Example you can define a Key-Column which...
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Send request to servlet using post http. The constructor accepts a Map containing all parameters you would like to send to servlet (key-value but the value can be also a json!). Parameters are url encoded using utf-8.
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Drop-in enhancements to ehcache: a SelfPopulatingCache that will return expired entry (instead of null) if updated entry not available, can manage own background refreshes, and can be populated by multiple CacheEntryFactory's. Spring integration.
