Libraries tagged by query tools

The OpenBuckets web-based tool is a powerful utility that allows users to quickly locate open buckets in cloud storage systems through a simple query. In addition, it provides a convenient way to search for various file types across these open buckets, making it an essential tool for security professionals, researchers, and anyone interested in discovering exposed data. This Postman collection aims to showcase the capabilities of OpenBuckets by providing a set of API requests that demonstrate how to leverage its features. By following this collection, you'll learn how to utilize OpenBuckets to identify open buckets and search for specific file types within them.

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The NextPHP Data package is a powerful tool for PHP developers, providing ORM capabilities and direct SQL query execution. This package is part of the NextPHP Framework, a modern and lightweight PHP framework designed for performance and scalability.

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The Engine API is an HTTP API served by Docker Engine. It is the API the Docker client uses to communicate with the Engine, so everything the Docker client can do can be done with the API. Most of the client's commands map directly to API endpoints (e.g. `docker ps` is `GET /containers/json`). The notable exception is running containers, which consists of several API calls. # Errors The API uses standard HTTP status codes to indicate the success or failure of the API call. The body of the response will be JSON in the following format: ``` { "message": "page not found" } ``` # Versioning The API is usually changed in each release, so API calls are versioned to ensure that clients don't break. To lock to a specific version of the API, you prefix the URL with its version, for example, call `/v1.30/info` to use the v1.30 version of the `/info` endpoint. If the API version specified in the URL is not supported by the daemon, a HTTP `400 Bad Request` error message is returned. If you omit the version-prefix, the current version of the API (v1.43) is used. For example, calling `/info` is the same as calling `/v1.43/info`. Using the API without a version-prefix is deprecated and will be removed in a future release. Engine releases in the near future should support this version of the API, so your client will continue to work even if it is talking to a newer Engine. The API uses an open schema model, which means server may add extra properties to responses. Likewise, the server will ignore any extra query parameters and request body properties. When you write clients, you need to ignore additional properties in responses to ensure they do not break when talking to newer daemons. # Authentication Authentication for registries is handled client side. The client has to send authentication details to various endpoints that need to communicate with registries, such as `POST /images/(name)/push`. These are sent as `X-Registry-Auth` header as a [base64url encoded](https://tools.ietf.org/html/rfc4648#section-5) (JSON) string with the following structure: ``` { "username": "string", "password": "string", "email": "string", "serveraddress": "string" } ``` The `serveraddress` is a domain/IP without a protocol. Throughout this structure, double quotes are required. If you have already got an identity token from the [`/auth` endpoint](#operation/SystemAuth), you can just pass this instead of credentials: ``` { "identitytoken": "9cbaf023786cd7..." } ```

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The Engine API is an HTTP API served by Docker Engine. It is the API the Docker client uses to communicate with the Engine, so everything the Docker client can do can be done with the API. Most of the client's commands map directly to API endpoints (e.g. `docker ps` is `GET /containers/json`). The notable exception is running containers, which consists of several API calls. # Errors The API uses standard HTTP status codes to indicate the success or failure of the API call. The body of the response will be JSON in the following format: ``` { "message": "page not found" } ``` # Versioning The API is usually changed in each release, so API calls are versioned to ensure that clients don't break. To lock to a specific version of the API, you prefix the URL with its version, for example, call `/v1.30/info` to use the v1.30 version of the `/info` endpoint. If the API version specified in the URL is not supported by the daemon, a HTTP `400 Bad Request` error message is returned. If you omit the version-prefix, the current version of the API (v1.41) is used. For example, calling `/info` is the same as calling `/v1.41/info`. Using the API without a version-prefix is deprecated and will be removed in a future release. Engine releases in the near future should support this version of the API, so your client will continue to work even if it is talking to a newer Engine. The API uses an open schema model, which means server may add extra properties to responses. Likewise, the server will ignore any extra query parameters and request body properties. When you write clients, you need to ignore additional properties in responses to ensure they do not break when talking to newer daemons. # Authentication Authentication for registries is handled client side. The client has to send authentication details to various endpoints that need to communicate with registries, such as `POST /images/(name)/push`. These are sent as `X-Registry-Auth` header as a [base64url encoded](https://tools.ietf.org/html/rfc4648#section-5) (JSON) string with the following structure: ``` { "username": "string", "password": "string", "email": "string", "serveraddress": "string" } ``` The `serveraddress` is a domain/IP without a protocol. Throughout this structure, double quotes are required. If you have already got an identity token from the [`/auth` endpoint](#operation/SystemAuth), you can just pass this instead of credentials: ``` { "identitytoken": "9cbaf023786cd7..." } ```

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An interfacing tool providing a sensible link between HTTP query contents and a RESTful API. The name "Questful" is a word play and concatenation of the words "Query" (from HTTP) and "RESTful".

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A database abstract layer to connect and query to multiple database system with a single tool.

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A powerful tool for developers who use Laravel framework and want to implement filtering functionality in their web applications. This package allows you to easily add filters to your queries, enabling users to search for specific data based on various criteria.

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Search Package OverviewThe Search package is a powerful tool designed to facilitate efficient and effective search operations within various datasets or databases. It provides a set of functions and classes that enable users to perform complex search queries, filter results, and retrieve relevant data with ease. The package is highly customizable, allowing users to define their own search criteria, implement sorting mechanisms, and handle large volumes of data seamlessly.Key Features: Customizable Search Queries: Users can create tailored search queries using various operators and conditions, making it possible to perform both simple and advanced searches. Sorting and Filtering: The package includes built-in methods to sort and filter search results, enabling users to organize data based on specific parameters such as date, relevance, or custom fields. Scalability: Designed to handle large datasets, the Search package is optimized for performance, ensuring quick response times even with millions of records. Integration: The package is compatible with a variety of databases and data sources, making it a versatile solution for different types of projects. User-Friendly Interface: It offers a straightforward API that is easy to use, even for those who are not experts in programming. This allows a broader audience to leverage the power of advanced search capabilities.Use Cases: Data Analysis: Quickly find and retrieve specific information from large datasets for analysis. Content Management Systems: Implement efficient search functionality in content-heavy websites or applications. E-commerce: Enhance product search features in online stores, improving the user experience by providing relevant results swiftly. Knowledge Bases: Help users find relevant articles or documentation based on keyword searches.Overall, the Search package is an essential tool for anyone needing to implement or enhance search functionality in their applications, providing both power and flexibility in managing and retrieving data.

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Various tools for parsing HTTP requests into API usable queries.

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Adding cache on your Laravel Eloquent queries' results is now a breeze.

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Do validation on fields and args for graphql queries and mutations, and dynamically generate user error types

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A database toolkit to use Laravel Eloquent in WordPress without establishing an additional connection to the database.

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A Laminas module to profile db queries using Laminas\Db\Adapter\Profiler\Profiler and write them to Laminas\DeveloperTools toolbar.

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Arris µFramework SphinxQL Wrapper over Foolz Query Builder

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CodeIgniter 4 Database Debug Toolbar Query Highlighter.

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