Search Results for "patterns"
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Showing 43 open source projects for "patterns"
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Squawk
Linter for Postgres migrations & SQL
Squawk is a static SQL linter for PostgreSQL designed to catch common mistakes and enforce query best practices. It analyzes raw SQL files and flags errors, anti-patterns, or style issues before queries are deployed. Squawk is ideal for teams that want to enforce SQL standards in CI pipelines. -
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SQLAlchemy
The Database Toolkit for Python
SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. SQLAlchemy provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language. An industrial strength ORM, built from the core on the identity map, unit of work, and data mapper patterns. These patterns allow the transparent persistence of objects using a declarative configuration system. Domain models can be constructed and manipulated naturally, and changes are synchronized with the current transaction automatically. ... -
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PgDog
PostgreSQL connection pooler, load balancer and database sharder
...The project is designed with performance and observability in mind, helping teams manage high-traffic database workloads more efficiently. Its architecture supports modern infrastructure patterns, making it suitable for cloud-native and microservices deployments. pgDog also emphasizes operational simplicity, providing configuration mechanisms that allow teams to adjust routing behavior without deep changes to application code. In practice, the tool helps organizations scale PostgreSQL clusters while maintaining reliability and predictable performance under load. -
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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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Advanced Alchemy
A carefully crafted, thoroughly tested, optimized companion library
advanced-alchemy is an opinionated ORM toolkit built on SQLAlchemy and designed for integration with the Litestar web framework. It simplifies common ORM patterns such as CRUD, pagination, and async support while providing extensibility and best practices out of the box. It’s designed to accelerate backend development for modern Python web apps. -
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phpRedisAdmin
Simple web interface to manage Redis databases
phpRedisAdmin is a web-based administration tool for managing Redis databases. It provides a user-friendly interface for viewing, editing, and managing Redis keys and data. The tool is lightweight and easy to set up, making it ideal for developers and administrators who need quick and efficient access to their Redis instances. It supports multiple Redis servers and offers basic data manipulation features directly from the browser. -
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Mikro Orm
TypeScript ORM for Node.js based on Data Mapper, Unit of Work
TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. MikroORM allows handling transactions automatically. When you call em.flush(), all computed changes are wrapped inside a database transaction. Uses source code analysis so you do not have to repeat yourself when defining entities. Simply define correct TypeScript types and you are good to go! Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases, and more can be supported via custom drivers right now. ... -
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Eclipse JNoSQL
Eclipse JNoSQL is a framework
Eclipse JNoSQL is a framework designed for Java developers to interact with NoSQL databases in a standardized way. It provides a unified API and supports various NoSQL database types, including document, key-value, column-family, and graph databases. JNoSQL integrates with Jakarta EE and MicroProfile, making it suitable for enterprise applications. -
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Motor
The async Python driver for MongoDB and Tornado or asyncio
Motor is an asynchronous Python driver for MongoDB that enables developers to work with MongoDB using non-blocking I/O patterns, making it ideal for high-performance and scalable applications. 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. ... -
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Lightning Design System for React
Salesforce Lightning Design System for React
Accessible, localization-friendly, presentational React components. The Lightning Design System for React is an implementation of the Lightning Design System with accessible patterns and established best practices. The source code is licensed under BSD 3-Clause. 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. ... -
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TypeDB
TypeDB: a strongly-typed database
...TypeDB provides a strong type system for developers to break down complex problems into meaningful and logical systems. Through TypeQL, TypeDB provides powerful abstractions over low-level and complex data patterns. TypeDB allows you to model your domain based on logical and object-oriented principles. Composed of entity, relationship, and attribute types, as well as type hierarchies, roles, and rules, TypeDB allows you to think higher-level, as opposed to join-tables, columns, documents, vertices, edges, and properties.Types provide a way to describe the logical structures of your data, allowing TypeDB to validate that your code inserts and queries data correctly. -
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KeePass
A lightweight and easy-to-use password manager
KeePass Password Safe is a free, open source, lightweight, and easy-to-use password manager for Windows, Linux and Mac OS X, with ports for Android, iPhone/iPad and other mobile devices. With so many passwords to remember and the need to vary passwords to protect your valuable data, it’s nice to have KeePass to manage your passwords in a secure way. KeePass puts all your passwords in a highly encrypted database and locks them with one master key or a key file. As a result, you only have to... -
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ldap-preg_replace
Replace/add/delete LDAP attributes online with regular expressions
Replace, add and delete values of LDAP attributes online with regular expressions. Automate daunting data maintenance Tasks. Save yourself from the need to fiddle around with LDIF Change files (or create them based on the replacement result)! -
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ZeroMQ
ZeroMQ core engine in C++, implements ZMTP/3.1
...It gives you sockets that carry atomic messages across various transports like in-process, inter-process, TCP, and multicast. You can connect sockets N-to-N with patterns like fan-out, pub-sub, task distribution, and request-reply. It's fast enough to be the fabric for clustered products. Its asynchronous I/O model gives you scalable multicore applications, built as asynchronous message-processing tasks. It has a score of language APIs and runs on most operating systems. Libzmq is mainly written in C++98 with some optional C++11-fragments. ... -
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SQLCheck
Automatically identify anti-patterns in SQL queries
sqlcheck automatically detects common SQL anti-patterns. Such anti-patterns often slow down queries. Addressing them will, therefore, help accelerate queries. Storing a list of IDs as a VARCHAR/TEXT column can cause performance and data integrity problems. Querying against such a column would require using pattern-matching expressions. It is awkward and costly to join a comma-separated list to matching rows. -
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Demo Scene
Scripts and samples to support Confluent Demos, Talks, and Blogs
Demo Scene is a collection of resources and examples provided by Confluent Inc. to demonstrate the capabilities of Apache Kafka and its ecosystem. It includes various demos showcasing real-time data streaming, processing, and integration patterns -
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Bank Application
Full Stack Web Application similar to financial software
...The current account balance is calculated based on the SQL operation (Double-entry bookkeeping) Internalization of the application for three languages: English, German and Polish. Support for multiple currencies with the current rate supplied from an external server via API. Application programmed according to the correct design patterns and principle, i.e. SOLID, DRY and KISS. Software supports PWA, it is adapted to all modern browsers and mobile devices (RWD). Implementation of Google Analytics along with the Cookie Consent according to the GDPR. -
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Efreet is a java package that implements DAO (data access object) patterns based on XML files. The purpose is to provide an option for those wishing to implement an easy-to-use data base access.
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FAKE2DB
Create custom test databases that are populated with fake data
Generate fake but valid data filled databases for test purposes using most popular patterns(AFAIK). Current support is sqlite, mysql, postgresql, mongodb, redis, CouchDB. The installation through pypi retrieves 'fake-factory' as a main dependency. db argument takes 6 possible options, sqlite, mysql, postgresql, mongodb, redis, CouchDB. name argument is OPTIONAL. When it is absent fake2db will name db's randomly. host argument is OPTIONAL. -
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Project Apollo seeks to provide a Java based web application development framework. The framework is not a RAD tool, but a set of tools and design patterns which can be used to build a properly designed and robust application.
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DataCleaner
Data quality analysis, profiling, cleansing, duplicate detection +more
DataCleaner is a data quality analysis application and a solution platform for DQ solutions. It's core is a strong data profiling engine, which is extensible and thereby adds data cleansing, transformations, enrichment, deduplication, matching and merging. Website: http://datacleaner.github.io -
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MagicalRecord
Easy Fetching for Core Data!
In software engineering, the active record pattern is a design pattern found in software that stores its data in relational databases. It was named by Martin Fowler in his book Patterns of Enterprise Application Architecture. The interface to such an object would include functions such as Insert, Update, and Delete, plus properties that correspond more-or-less directly to the columns in the underlying database table. Active record is an approach to accessing data in a database. A database table or view is wrapped into a class; thus an object instance is tied to a single row in the table. ... -
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PriDE is a thin and high-performance Java O/R mapper for relational databases. It does not follow any persistence management standards like JDO or EJB-CMP but relies on common design patterns and is production-proved in both J2SE and J2EE environments.
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Object-oriented simulation-ready database simultaneously supports Java and C# APIs. Fully-transactional. Uses time-stamps and user ID to track all changes. Supports objects with properties whose values change in time under complex patterns.
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Xcerpt is a Query and Transformation Language for XML and Semistructured data. Instead of the navigational approach of XPath-based languages like XSLT or XQuery, Xcerpt uses patterns for querying and is based on concepts of logic programming like unifica
