Search Results for "write" - Page 2
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Showing 185 open source projects for "write"
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Doctrine JSON Functions
Doctrine DQL functions for SQL JSON data type
DoctrineJsonFunctions is a library that adds native support for JSON-related SQL functions to Doctrine ORM. It extends Doctrine’s DQL capabilities to handle PostgreSQL, MySQL, and SQLite JSON functions, enabling developers to write expressive queries involving JSON fields directly in DQL. This is especially useful for applications that store semi-structured data in relational databases. -
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PHP-CRUD-API
Single file PHP script that adds a REST API to a SQL database
...Upload "api.php" somewhere and enjoy! For local development you may run PHP's built-in web server. All configuration options are also available as environment variables. Write the config option with capitals, a "PHP_CRUD_API_" prefix and underscores for word breaks. The environment variables take precedence over the PHP configuration. -
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JsonDB
A simple "database" that use JSON file for Node.JS.
JsonDB is now using the concept of async/await for all its calls since we read from the database file on demand and depending on how the database is configured, we might write at each push. The module stores the data using JavaScript Object directly into a JSON file. You can easily traverse the data to directly reach the desired property using the DataPath. The principle of DataPath is the same as XMLPath. -
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Neon Database
Neon: Serverless Postgres. We separated storage and compute
...Focus on building applications with time and money-saving features like instant provisioning, autoscaling according to load, and scale to zero. Instantly branch your data and schema to access isolated DB copies for development, CI/CD, and schema migrations with copy-on-write storage. Integrate it into your language or framework within minutes and unlock a simpler developer workflow. -
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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Lightning Design System for React
Salesforce Lightning Design System for React
...For a no hassle setup and compatibility with Create React App, transpiled ES6 and CommonJS module versions have been included within the NPM package. If using this setup, please re-write the import statement in the documentation site examples. Advanced usage requires that your babel presets are set up correctly. create-react-app and environments that do not transpile code within node_modules are not compatible with the component import below. All the examples on the documentation site use this syntax. You can use the Babel preset, @salesforce/babel-preset-design-system-react, to get started. ... -
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user-event
Simulate user events
Fire events the same way the user does. user-event tries to simulate the real events that would happen in the browser as the user interacts with it. For example userEvent.click(checkbox) would change the state of the checkbox. user-event is a companion library for Testing Library that simulates user interactions by dispatching the events that would happen if the interaction took place in a browser. fireEvent dispatches DOM events, whereas user-event simulates full interactions, which may... -
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lmdb-js
Simple, efficient, ultra-fast, scalable data store wrapper for LMDB
This is an ultra-fast NodeJS, Bun, and Deno interface to LMDB; probably the fastest and most efficient key-value/database interface that exists for storage and retrieval of structured JS data (objects, arrays, etc.) in a true persisted, scalable, ACID compliant database. It provides a simple interface for interacting with LMDB, as a key-value db, which makes it easy to fully leverage the power, crash-proof design, and efficiency of LMDB using intuitive JavaScript, and is designed to scale... -
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pg_squeeze
A PostgreSQL extension for automatic bloat cleanup
pg_squeeze is a PostgreSQL extension that reclaims space in bloated tables without blocking read or write access. It provides a non-intrusive alternative to VACUUM FULL by creating a new compacted copy of the table in the background. It’s particularly useful for maintaining performance in large, heavily updated databases. -
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Supabase Realtime
Listen to your to PostgreSQL database in realtime via websockets
...Every project is a full Postgres database, the world's most trusted relational database. Add user sign ups and logins, securing your data with Row Level Security. Store, organize, and serve large files. Any media, including videos and images. Write custom code without deploying or scaling servers. Supported by a network of early advocates, contributors, and champions. We introspect your database to provide APIs instantly. Stop building repetitive CRUD endpoints and focus on your product. Type definitions built directly from your database schema. Use Supabase in the browser without a build process. ... -
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Tarantool
Get your data in RAM, get compute close to data, enjoy the performance
...Such a solution will work many times faster. With Tarantool, you can replace the traditional bundle of database & cache and reduce operational costs. Tarantool is tolerant of write-heavy loads. It also allows keeping full-featured applications close to the data, thus reducing data access network latency to zero. The open-source Community Edition lets you develop applications and speed up a system in operation. It features synchronous replication, affords easy scalability, and includes tools to develop efficient applications. ... -
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ClickHouse Go
Golang driver for ClickHouse
...Database/sql supports http protocol for transport. (Experimental). Marshal rows into structs (ScanStruct, Select). Unmarshal struct to row (AppendStruct). Connection pool Failover and load balancing. Bulk write support (for database/sql use begin->prepare->(in loop exec)->commit). AsyncInsert, named and numeric placeholders support. LZ4/ZSTD compression support. External data. -
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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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Sqitch
Sensible database change management
Sqitch is a database change management system built around SQL and version control. Unlike migration frameworks that use up/down scripts, Sqitch focuses on dependency-based deployment, allowing developers to write native SQL for changes while tracking changes in Git, Mercurial, or other SCMs. It works across many databases and promotes precision and auditability in schema versioning. -
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libmdbx
One of the fastest embeddable key-value ACID database
libmdbx (Lightning Memory-Mapped Database Extended) is a high-performance, key-value database library derived from LMDB (Lightning Memory-Mapped Database). It is designed for fast, scalable, and ACID-compliant data storage with minimal resource consumption. -
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SQLModel
SQL databases in Python, designed for simplicity, compatibility
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy. -
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Dbmate
A lightweight, framework-agnostic database migration tool
Dbmate is a database migration tool, to keep your database schema in sync across multiple developers and your production servers. It is a standalone command line tool, which can be used with Go, Node.js, Python, Ruby, PHP, or any other language or framework you are using to write database-backed applications. This is especially helpful if you are writing many services in different languages, and want to maintain some sanity with consistent development tools. Supports MySQL, PostgreSQL, SQLite, and ClickHouse. Uses plain SQL for writing schema migrations. Migrations are timestamp-versioned, to avoid version number conflicts with multiple developers. ... -
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Prisma Client Go
Prisma Client Go is an auto-generated and fully type-safe database
Get started in minutes with a new or existing database. Use full type safety and automated workflows to ship schema changes and write queries with less work. Prisma Client Go is an auto-generated query builder that enables type-safe database access and reduces boilerplate. You can use it as an alternative to traditional ORMs such as gorm, xorm, sqlboiler and most database-specific tools. It is part of the Prisma ecosystem. Prisma provides database tools for data access, declarative data modeling, schema migrations and visual data management. ... -
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TypeORM
ORM for TypeScript and JavaScript (ES7, ES6, ES5)
...Its goal is to always support the latest JavaScript features and provide additional features that help you to develop any kind of application that uses databases - from small applications with a few tables to large scale enterprise applications with multiple databases. TypeORM supports both Active Record and Data Mapper patterns, unlike all other JavaScript ORMs currently in existence, which means you can write high-quality, loosely coupled, scalable, maintainable applications the most productive way. TypeORM is highly influenced by other ORMs, such as Hibernate, Doctrine and Entity Framework. Supports both DataMapper and ActiveRecord (your choice). Uni-directional, bi-directional and self-referenced relations. -
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Jedis
A small redis java client
...The features supported are sorting, connection handling, commands operating on any kind of values, commands operating on string values, commands operating on hashes, commands operating on lists, commands operating on sets, commands operating on sorted sets, commands operating on streams, transactions, pipelining, publish/subscribe, persistence control commands, remote server control commands, connection pooling, sharding (MD5, MurmurHash), key-tags for sharding, sharding with pipelining, scripting with pipelining, and Redis Cluster. Redis is primarily built for master/slave distribution. This means that write requests have to be explicitly addressed to the master (a redis server), which replicates changes to slaves (which are also redis servers). -
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LinDB
LinDB is a scalable, high performance, high availability database
LinDB is a scalable, high-performance, high-availability distributed time series database. A single server could easily support more than one million write TPS; With fundamental techniques like efficient compression storage and parallel computing, LinDB delivers highly optimized query performance. The multi-channel replication protocol supports any amount of nodes, and ensures the system's availability. Schema-free multi-dimensional data model with Metric, Tags, and Fields; The LinQL is flexible yet handy for real-time data analytics. ... -
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Blazer
Business intelligence made simple
Blazer is a business-intelligence engine for Rails that lets teams write SQL in the browser, visualize the results, and share insights without leaving their app. It turns raw database queries into charts, tables, and dashboards, so non-engineers can explore data with minimal friction. Queries can accept parameters, enabling reusable reports for different time ranges, segments, or customers. Access controls and audit trails help teams manage who can run, edit, or view sensitive analyses. ... -
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Motor
The async Python driver for MongoDB and Tornado or asyncio
...Built on top of Python’s Tornado and asyncio frameworks, Motor lets you issue database operations without blocking the event loop, enabling concurrency in web servers, real-time systems, and microservices. It provides a familiar API surface similar to the official synchronous PyMongo driver, so you can migrate or write MongoDB code in Python without having to learn a completely new interface. Because it integrates with popular async ecosystems like FastAPI, Sanic, and aiohttp, Motor is a natural fit for modern async Python stacks where throughput and responsiveness matter. It also supports change streams, grid file system (GridFS), and the full range of CRUD and aggregation operations available in MongoDB. -
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BaikalDB
BaikalDB, A Distributed HTAP Database
BaikalDB is a distributed enhanced structured database system. It supports sequential and randomized real-time read/write of structural data in a petabytes-scale. BaikalDB is compatible with MySQL protocol and it supports MySQL-style SQL dialect, by which users can migrate their data storage from MySQL to BaikalDB seamlessly. BaikalDB internally provides projections, filter operators (corresponding with SQL WHERE or HAVING clause), aggregation operators (corresponding with GROPY BY clause) and sort operators (corresponding with SQL ORDER BY), with which users can fulfill their complex and time-critical analytical and transactional requirement by writing SQL statements. ... -
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Database Lab Engine (DLE)
DLE provides blazing-fast database cloning to build dev environments
...The Database Lab Engine (DLE) runs on an independent server within your own infrastructure. The engine stores a single, full-size copy of production data on the specialized ZFS filesystem. Using the copy-on-write capabilities of ZFS, the DLE is able to generate full-size replicas of the production database in seconds. These writable "thin clones" will behave identically to production: they will have the same data and generate the same query plans. Instances of the Database Lab Engine (DLE) and all thin clones reside completely within your own infrastructure at all times. -
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Specification for GraphQL
A working draft of the Specification for GraphQL, a query language
This is the specification for GraphQL, a query language and execution engine originally created at Facebook in 2012 for describing the capabilities and requirements of data models for client-server applications. The development of this open standard started in 2015. This specification was licensed under OWFa 1.0 in 2017. Copyright and trademark was transferred to the GraphQL Foundation in 2019. GraphQL has evolved and may continue to evolve in future editions of this specification. GraphQL...