Search Results for "db-populator"
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Showing 964 open source projects for "db-populator"
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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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DB Browser for SQLite
The DB Browser for SQLite
DB Browser for SQLite (DB4S) is a high quality, visual, open source tool to create, design, and edit database files compatible with SQLite. DB4S is for users and developers who want to create, search, and edit databases. DB4S uses a familiar spreadsheet-like interface, and complicated SQL commands do not have to be learned. This program is not a visual shell for the sqlite command line tool, and does not require familiarity with SQL commands. -
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LINQ to DB
Linq to database provider
LINQ to DB is the fastest LINQ database access library offering a simple, light, fast, and type-safe layer between your POCO objects and your database. Architecturally it is one step above micro-ORMs like Dapper, Massive, or PetaPoco, in that you work with LINQ expressions, not with magic strings, while maintaining a thin abstraction layer between your code and the database. -
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Oracle DB driver for Laravel via OCI8
Oracle DB driver for Laravel via OCI8
Laravel-OCI8 is an Oracle Database Driver package for Laravel. Laravel-OCI8 is an extension of Illuminate/Database that uses OCI8 extension to communicate with Oracle. -
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PyMySQL
MySQL client library for Python
PyMySQL is a 100% Python implementation of the MySQL client protocol, allowing Python applications to connect to MySQL and MariaDB databases without requiring binary extensions. It supports standard DB‑API 2.0 features, such as cursors, transactions, and parameterized queries. PyMySQL is versatile for web applications, scripts, and tools, offering compatibility with ORMs like SQLAlchemy and frameworks like Django. -
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Kong Ingress Controller Kubernetes (KIC)
Kong for Kubernetes: The official Ingress Controller for Kubernetes
...Kong Ingress Controller configures Kong Gateway as a software load balancer that runs in the cluster and is typically exposed as a LoadBalancer service. Kong recommends using the Kong/ingress Helm chart to deploy the Kong Ingress Controller. This chart supports both DB-less and DB-backed deployments. If you’re not sure which to choose, we recommend choosing DB-less which treats the Kubernetes API server as the source of truth. -
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NutsDB
A simple, fast, embeddable, persistent key/value store written in Go
...Read-only transactions can read values for a given bucket and a given key or iterate over a set of key-value pairs. Read-write transactions can read, update and delete keys from the DB. NutsDB allows only one read-write transaction at a time but allows as many read-only transactions as you want at a time. Each transaction has a consistent view of the data as it existed when the transaction started. When a transaction fails, it will roll back, and revert all changes that occurred to the database during that transaction. -
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Amazon Neptune SigV4 Signer
A library for Amazon Neptune that enables AWS Signature Version
...IAM administrators control who can be authenticated (signed in) and authorized (have permissions) to use Neptune resources. IAM is an AWS service that you can use with no additional charge. You can use AWS Identity and Access Management (IAM) to authenticate to your Neptune DB instance or DB cluster. When IAM database authentication is enabled, each request must be signed using AWS Signature Version 4. AWS Signature Version 4 adds authentication information to AWS requests. For security, all requests to Neptune DB clusters with IAM authentication enabled must be signed with an access key. This key consists of an access key ID and secret access key. -
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Monitor scheduled tasks in a Laravel app
Monitor scheduled tasks in a Laravel app
This package will monitor your Laravel schedule. It will write an entry to a log table in the db each time a scheduled task starts, ends, fails, or is skipped. Using the list command you can check when the scheduled tasks have been executed. -
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EF Core
Object-database mapper for .NET
...It supports LINQ queries, change tracking, updates, and schema migrations. EF Core works with many databases, including SQL Database (on-premises and Azure), SQLite, MySQL, PostgreSQL, and Azure Cosmos DB. To install EF Core, you install the package for the EF Core database provider(s) you want to target. This tutorial uses SQLite because it runs on all platforms that .NET Core supports. This application intentionally keeps things simple for clarity. Connection strings should not be stored in the code for production applications. You may also want to split each C# class into its own file. ... -
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JsStore
A complete IndexedDB wrapper with SQL like syntax
Execute Database operation in browsers with JsStore. JsStore is an indexedDB wrapper. It makes IndexedDB super easy with its SQL-like APIs. Harness the power of JsStore to streamline database operations in your web applications. With its SQL-like API, JsStore simplifies IndexedDB interactions, enabling developers to easily query, filter, and manipulate data with familiar syntax and efficiency. -
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ScalikeJDBC
A tidy SQL-based DB access library for Scala developers
ScalikeJDBC is a tidy SQL-based DB access library for Scala developers. This library naturally wraps JDBC APIs and provides you easy-to-use and very flexible APIs. What’s more, QueryDSL makes your code type-safe and reusable. ScalikeJDBC is a practical and production-ready one. Use this library for your real projects. Whether you like it or not, JDBC is a stable standard interface. -
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redshift_connector
Amazon Redshift connector for Python
...Easy integration with pandas and numpy, as well as support for numerous Amazon Redshift-specific features help you get the most out of your data. redshift_connector integrates with various open-source projects to provide an interface to Amazon Redshift. Please open an issue with our project to request new integrations or get support for a redshift_connector issue seen in an existing integration. Following the DB-API specification, autocommit is off by default. It can be turned on by using the autocommit property of the connection. The paramstyle for a cursor can be modified via cursor.paramstyle. The default paramstyle used is format. Valid values for paramstyle include qmark, numeric, named, format, pyformat. redshift_connector uses logging for providing detailed error messages regarding IdP authentication. ... -
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Ebean
Ebean ORM
Ebean provides multiple levels of query abstraction ORM Queries, mixed with SQL, DTO Queries, SqlQuery and JDBC. Work at the highest level of abstraction and drop down levels as needed. Built in DB migration generation and running. Support for "rebase" migrations as well as repeatable, init and 'normal' migrations. Ebean produces SQL that you would hand craft yourself. Use great SQL, never generate SQL cartesian product, always honor relational limit/offset. For ORM queries Ebean can profile the object graph being used and either automatically tune the query. ... -
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Rules Engine
A Json based Rules Engine with extensive Dynamic expression support
...It provides a simple way of giving you the ability to put your rules in a store outside the core logic of the system, thus ensuring that any change in rules don't affect the core system. You need to store the rules based on the schema definition given and they can be stored in any store as deemed appropriate like Azure Blob Storage, Cosmos DB, Azure App Configuration, Entity Framework, SQL Servers, file systems, etc. For RuleExpressionType LamdaExpression, the rule is written as a lambda expression. Consuming Entity Framework and populating the Rules Engine is shown in the EFDemo class with Workflow rules populating the array and passed to the Rules Engine, The Demo App includes an example RulesEngineDemoContext. -
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Testcontainers
A library to support tests with throwaway instances of Docker
...Use a containerized instance of a MySQL, PostgreSQL or Oracle database to test your data access layer code for complete compatibility, but without requiring complex setup on developers' machines and safe in the knowledge that your tests will always start with a known DB state. Any other database type that can be containerized can also be used. For running your application in a short-lived test mode with dependencies, such as databases, message queues or web servers. Use containerized web browsers, compatible with Selenium, for conducting automated UI tests. Each test can get a fresh instance of the browser, with no browser state, plugin variations or automated browser upgrades to worry about. ... -
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Testcontainers Java
Testcontainers is a Java library that supports JUnit tests
...Use a containerized instance of a MySQL, PostgreSQL or Oracle database to test your data access layer code for complete compatibility, but without requiring complex setup on developers' machines and safe in the knowledge that your tests will always start with a known DB state. Any other database type that can be containerized can also be used. For running your application in a short-lived test mode with dependencies, such as databases, message queues or web servers. Use containerized web browsers, compatible with Selenium, for conducting automated UI tests. Each test can get a fresh instance of the browser, with no browser state, plugin variations or automated browser upgrades to worry about. ... -
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Hasura GraphQL Engine
Blazing fast, instant realtime GraphQL APIs on your DB
Hasura is an open-source product that accelerates API development by 10x by giving you GraphQL or REST APIs with built-in authorization on your data, instantly. Run Hasura, locally or in the cloud, and connect it to your new or existing databases to instantly get a production-grade GraphQL API. Developers and architects love Hasura because it takes no time to get started, doesn’t need them to be a GraphQL expert upfront, and saves their teams months of recurring effort in building, shipping,... -
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Positron
Positron, a next-generation data science IDE
Positron is a next-generation integrated development environment (IDE) created by Posit PBC (formerly RStudio Inc) specifically tailored for data science workflows in Python, R, and multi-language ecosystems. It aims to unify exploratory data analysis, production code, and data-app authoring in a single environment so that data scientists move from “question → insight → application” without switching tools. Built on the open-source Code-OSS foundation, Positron provides a familiar coding... -
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GORM
The fantastic ORM library for Golang, aims to be developer friendly
GORM is a powerful, developer-friendly ORM library for Go. It maps Go structs to DB tables, supports relationships, hooks, transactions, eager loading, raw SQL, migrations, and advanced querying with plugins. -
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Goxygen
Generate a modern Web project with Go and Angular, React or Vue
...Goxygen generates back-end Go code, connects it with front-end components, provides a Dockerfile for the application and creates docker-compose files for convenient run in development and production environments. By default, it will use React and MongoDB. You can select a different front-end framework and a database using --frontend and --db flags. Goxygen generates a basic structure of a project and doesn't force you to use a specific set of tools. That's why it doesn't bring unneeded dependencies to your project. It uses only a database driver on the back end side and Axios in React and Vue projects. Angular projects use only Angular-specific libraries. -
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WTForms
A flexible forms validation and rendering library for Python
WTForms is a flexible forms validation and rendering library for Python web development. It can work with whatever web framework and template engine you choose. It supports data validation, CSRF protection, internationalization (I18N), and more. There are various community libraries that provide closer integration with popular frameworks. WTForms is designed to work with any web framework and template engine. There are a number of community-provided libraries that make integrating with... -
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SQL Explorer
Easily share data across your company via SQL queries
SQL Explorer aims to make the flow of data between people fast, simple, and confusion-free. It is a Django-based application that you can add to an existing Django site, or use as a standalone business intelligence tool. Quickly write and share SQL queries in a simple, usable SQL editor, preview the results in the browser, share links, download CSV, JSON, or Excel files (and even expose queries as API endpoints, if desired), and keep the information flowing! Comes with support for multiple... -
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Marten
.NET Transactional Document DB and Event Store on PostgreSQL
The Marten library provides .NET developers with the ability to use the proven PostgreSQL database engine and its fantastic JSON support as a fully-fledged document database. The Marten team believes that a document database has far-reaching benefits for developer productivity over relational databases with or without an ORM tool. Marten also provides .NET developers with an ACID-compliant event store with user-defined projections against event streams. Use proven PostgreSQL database engine,... -
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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 name should be a valid type name. The -struct flag selects the whole struct, and thus it will operate on all fields. ... -
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nodejs-integration-tests-best-practices
Beyond the basics of Node.js testing
Component/integration test is a hybrid between E2E and unit tets. It's gaining a lot of popularity and going by the testing diamond model it is considered as the default technique for the modern backend. Its main idea is testing an entire component (e.g., Microservice) as-is, through the API, with all the layers including the database but fake anything extraneous. This brings both high confidence and great developer experience. However, doing it right, fast, exhaustive and maximizing the...
