Search Results for "query"
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Showing 605 open source projects for "query"
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TanStack Query
Powerful asynchronous state management, server-state utilities
...If you know how to work with promises or async/await, then you already know how to use TanStack Query. There's no global state to manage, reducers, normalization systems or heavy configurations to understand. Simply pass a function that resolves your data (or throws an error) and the rest is history. TanStack Query is configurable down to each observer instance of a query with knobs and options to fit every use-case. It comes wired up with dedicated devtools, infinite-loading APIs, etc. -
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Laravel Query Builder
Easily build Eloquent queries from API requests
This package allows you to filter, sort and include eloquent relations based on a request. The QueryBuilder used in this package extends Laravel's default Eloquent builder. This means all your favorite methods and macros are still available. Query parameter names follow the JSON API specification as closely as possible. The filter query parameters can be used to add where clauses to your Eloquent query. Out of the box we support filtering results by partial attribute value, exact attribute value or even if an attribute value exists in a given array of values. For anything more advanced, custom filters can be used. ... -
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Laravel Eloquent Query Cache
Adding cache on your Laravel Eloquent queries' results is now a breeze
Laravel Eloquent Query Cache brings back the remember() functionality that has been removed from Laravel a long time ago. It adds caching functionalities directly on the Eloquent level, making use of cache within your database queries. -
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GritQL
GritQL is a query language for searching, linting, and modifying code
GritQL is a query language designed to facilitate human-AI collaboration by providing an intuitive interface for querying and retrieving structured data. It acts as a bridge between AI models and databases, enabling natural language interaction with structured data sources. -
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Thanos
Highly available Prometheus setup with long term storage capabilities
...Extend the system with the object storage of your choice to store your metrics for an unlimited time. Supports GCP, S3, Azure, Swift and Tencent COS. Use the same tools you love, such as Grafana and others, that support the Prometheus Query API. Downsample historical data for massive query speedup when querying large time ranges or configure complex retention policies. Thanos leverages the Prometheus 2.0 storage format to cost-efficiently store historical metric data in any object storage while retaining fast query latencies. Additionally, it provides a global query view across all Prometheus installations and can merge data from Prometheus HA pairs on the fly. -
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Go QueryString
go-querystring is Go library for encoding structs into URL query
go-querystring is a lightweight Go library developed by Google for encoding Go structs into URL query strings. It simplifies the process of constructing URLs with typed parameters, offering a clean, type-safe approach to building query strings programmatically. The library’s query package exposes a single Values() function that converts struct fields (tagged with url tags) into properly encoded query parameters. It is particularly useful for APIs or HTTP clients that represent query parameters as structs—such as in the go-github client library. ... -
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Azure Data Studio
A data management tool that enables working with other SQL tools
...Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal. It's engineered with the data platform user in mind, with the built-in charting of query result sets and customizable dashboards. Use Azure Data Studio to query, design, and manage your databases and data warehouses wherever they are, on your local computer or in the cloud. Azure Data Studio offers a modern, keyboard-focused SQL coding experience that makes your everyday tasks easier with built-in features, such as multiple tab windows, a rich SQL editor, IntelliSense, keyword completion, code snippets, code navigation, and source control integration (Git). -
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Zeal
Offline documentation browser inspired by Dash
...After installing Zeal go to Tools ⟶ Docsets to browse and download docsets. You can limit search results to specific (or a set of specific) docsets. The docset filter and the search query are delimited by a colon character (:). If you prefer, you can start Zeal with a query from the command line. You can also search multiple docsets separating them with a comma. You can limit the search scope by using ':' to indicate the desired docsets. -
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Specification
Base class with tests for adding specifications to a DDD model
...By defining specifications as classes, teams can build complex query rules that remain testable and easy to reason about. The project is used in Microsoft’s reference application eShopOnWeb and aligns closely with clean architecture principles. Overall, Specification provides a structured approach to query reuse and domain-focused data access in modern .NET applications. -
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The Reactive Extensions for Python
Reactive extensions for Python
RxPY is a library for composing asynchronous and event-based programs using observable collections and pipable query operators in Python. A library for composing asynchronous and event-based programs using observable collections and query operator functions in Python. Reactive Extensions for Python (RxPY) is a set of libraries for composing asynchronous and event-based programs using observable sequences and pipable query operators in Python. Using Rx, developers represent asynchronous data streams with Observables, query asynchronous data streams using operators, and parameterize concurrency in data/event streams using Schedulers. ... -
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Join Monster
A GraphQL to SQL query execution layer for query planning
A GraphQL to SQL query execution layer for query planning and batch data fetching. Efficient query planning and data fetching for SQL. Use JOINs and/or batched requests to retrieve all your data. It takes a GraphQL query and your schema and automatically generates the SQL. Send that SQL to your database and get back all the data needed to resolve with only one or a few round-trips to the database. -
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Mercurius
Implement GraphQL servers and gateways with Fastify
Mercurius is a GraphQL adapter for Fastify. Caching of query parsing and validation. Automatic loader integration to avoid 1 + N queries. Just-In-Time compiler via graphql-jit. Federation support via @mercuriusjs/federation, including Subscriptions. Gateway implementation via @mercuriusjs/gateway, including Subscriptions. Batched query support. Customisable persisted queries. -
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XTDB
General-purpose bitemporal database for SQL, Datalog & graph queries
...XTDB contains a perfect, immutable record of every fact your system has ever known. See the entire history of your business, everywhere. Immutable records are incomplete without time-traveling queries. XTDB allows you to query the entire timeline. Make retroactive corrections, simplify data migrations, and get clarity on out-of-order events. It is the interconnection of facts that makes them valuable. Query the relational model with SQL and the graph model with Datalog, over the same data. Explore all your data. Across all implicit relationships, across all time. ... -
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pg_graphql
GraphQL support for PostgreSQL
...The extension reflects a GraphQL schema from the existing SQL schema and exposes it through a SQL function, graphql. resolve(...). This enables any programming language that can connect to PostgreSQL to query the database via GraphQL with no additional servers, processes, or libraries. Each table receives an entry point in the top-level Query type that is a pageable collection with relationships defined by its foreign keys. Tables similarly receive entry points in the Mutation type that enable bulk operations for insert, update, and delete. -
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Laravel Request Docs
Effortless API documentation tool for Laravel applications
The Hassle-Free automatic API documentation generation for Laravel. Automatic rules fetching from injected Request and by regexp. Automatic routes fetching from Laravel Routes. Support for Laravel logs. Support for SQL query and query time. Support for HTTP response time and memory consumption. Support for Authorization Headers. Support for File uploads, and support for Eloquents events. Display extra documentation using markdown. Saves the history of previous requests. Added filters to sort, group, and filter routes by methods, controllers, middleware, and routes. ... -
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TanStack Router
Fully typesafe Router for React (and friends) w/ built-in caching
TanStack Router is a modern, fully type-safe routing library designed for React and Solid applications, offering robust routing capabilities with first-class support for data loading, search parameters, nested layouts, and seamless integration with client-side caching libraries like TanStack Query. nd‑to‑end type safety (routes, params, loaders). Schema‑driven search params with validation. Built‑in caching, prefetching & invalidation. Nested layouts, transitions & error boundaries. -
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System.Linq.Dynamic.Core
The .NET Standard version from the System Linq Dynamic functionality
System.Linq.Dynamic.Core is an extension library that adds dynamic LINQ query capabilities to .NET, allowing developers to create LINQ queries from strings. -
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GraphQL Batch
A query batching executor for the graphql gem
...Although this library doesn't have a dependency on active record, the examples directory has record and association loaders for active record which handles edge cases like type-casting ids. GraphQL::Batch::Loader#load returns a Promise using the promise.rb gem to provide a promise-based API, so you can transform the query results using .then. -
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elasticsearc-php
PHP low-level client for Elasticsearch
Introducing Elasticsearch DSL library to provide objective query builder for Elasticsearch bundle and elasticsearch-php client. You can easily build any Elasticsearch query and transform it to an array. This agnostic package is a lightweight wrapper on top of the Elasticsearch PHP client. Its main goal is to allow for easier structuring of queries and indices in your application. It does not want to hide or replace the functionality of the Elasticsearch PHP client. -
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SQL Explorer
Easily share data across your company via SQL queries
...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 connections, to many different SQL database types, a schema explorer, query history (e.g. lightweight version control), a basic security model, in-browser pivot tables, and more. SQL Explorer values simplicity, intuitive use, unobtrusiveness, stability, and the principle of least surprise. SQL Explorer is inspired by any number of great query and reporting tools out there. -
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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,... -
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graphql_client
Typed, correct GraphQL requests and responses in Rust
...Arbitrary custom scalars. Supports multiple operations per query document. Supports setting GraphQL fields as deprecated and having the Rust compiler check their use. Optional reqwest-based client for boilerplate-free API calls from browsers. Implicit and explicit null support. -
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Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel. Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.) Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data. -
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JsonApiDotNetCore
A framework for building JSON:API compliant REST APIs using ASP.NET
A framework for building JSON:API compliant REST APIs using .NET Core and Entity Framework Core. Includes support for Atomic Operations. The goal of this library is to simplify the development of APIs that leverage the full range of features provided by the JSON:API specification. You just need to focus on defining the resources and implementing your custom business logic. We strive to eliminate as much boilerplate as possible by offering out-of-the-box features such as sorting, filtering... -
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Polars
Dataframes powered by a multithreaded, vectorized query engine
Polars is a high-performance, multi-language DataFrame library built in Rust using Apache Arrow. It delivers blazing-fast, vectorized, and parallel data manipulation with both eager and lazy execution, making it an excellent tool for data processing in Python, Rust, Node.js, R, and SQL contexts.
