Search Results for "query"
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Showing 135 open source projects for "query"
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Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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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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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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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. -
4
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... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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5
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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Json.NET
A popular high-performance JSON framework for .NET
Serialize and deserialize any .NET object with Json.NET's powerful JSON serializer. Create, parse, query and modify JSON using Json.NET's JObject, JArray and JValue objects. Query JSON with an XPath-like syntax. 50% faster than DataContractJsonSerializer, and 250% faster than JavaScriptSerializer. Json.NET makes the simple easy and the complex possible. If you need it, Json.NET supports converting between XML and JSON. Json.NET is open source software and is completely free for commercial use. ... -
7
Apollo Client
A fully-featured, production ready caching GraphQL client
...The core Apollo Client library provides built-in integration with React, and the larger Apollo community maintains integrations for other popular view layers. Write a query and receive data without manually tracking loading states. Enjoy helpful tooling for TypeScript, Chrome / Firefox devtools, and VS Code. Take advantage of the latest React features, such as hooks. Drop Apollo into any JavaScript app and incorporate it feature by feature. Use any build setup and any GraphQL API. Share knowledge with thousands of developers in the GraphQL community. -
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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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Yearning SQL
A most popular sql audit platform for mysql
The MYSQL SQL audit tool used to unpack. Using the compiled binary files, only one database does not rely on any other plug-in to easily deploy. go+vue brings a smooth and beautiful user interface and powerful performance to Yearning. Yearning automatically reviews Mysql's syntax grammar norms based on Mysql grammar analysis and conducts functional audits based on the audit rules implemented by Yearning itself. -
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Better Stack JavaScript client
Better Stack JavaScript client
...Get answers fast with a powerful SQL query builder. No need to learn a new querying language or ask your data analyst. -
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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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Spring Data JPA
Simplifies the development of creating a JPA-based data access layer
...As a developer, you write your repository interfaces, including custom finder methods, and Spring will provide the implementation automatically. Pagination support, dynamic query execution, ability to integrate custom data access code. -
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Steampipe
Zero-ETL, infinite possibilities. Live query APIs, code & more
Steampipe is the zero-ETL solution for getting data directly from APIs and services. We offer these Steampipe engines. SQL has been the data access standard for decades. It levels the playing field for your team, easily integrates with other systems, and accelerates delivery. Painlessly join live cloud configuration data with internal or external data sets to create new insights. Your cloud is a live database that changes fast. Don't wait on ETL to sync, or rely on old data. Crunch it where... -
14
Piccolo
A fast, user friendly ORM and query builder which supports asyncio
Piccolo is a modern, fast, and type-safe ORM for Python, designed with developer ergonomics in mind. It provides a clean syntax for defining schemas and building queries while supporting both sync and async execution. With built-in admin tools and rich introspection, Piccolo is suitable for web apps, APIs, and small-to-medium scale backends that prioritize clarity and speed. -
15
Brim
Application to efficiently search and analyze super-structured data
Desktop application to efficiently search and analyze super-structured data. Powered by Zed. Zed is a system that makes data easier by utilizing our new super-structured data model. Brim is a desktop app to explore, query, and shape the data in your super-structured data lake. Brim is an open source desktop application for security and network specialists. Brim makes it easy to search and analyze data from packet captures, like those created by Wireshark, and structured logs, especially from the Zeek network analysis framework. Brim is especially useful to security and network operators that need to handle large packet captures, especially those that are cumbersome for Wireshark, tshark, or other packet analyzers. ... -
16
Apache Sedona
Cluster computing framework for processing large-scale geospatial data
...Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive query workloads. According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments. -
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GraphQL for Nest framework
GraphQL (TypeScript) module for Nest framework (node.js)
GraphQL is a powerful query language for APIs and a runtime for fulfilling those queries with your existing data. It's an elegant approach that solves many problems typically found with REST APIs. For background, we suggest reading this comparison between GraphQL and REST. GraphQL combined with TypeScript helps you develop better type safety with your GraphQL queries, giving you end-to-end typing. -
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GraphJin
Build NodeJS / GO APIs in 5 minutes not weeks
...This makes GraphJin very secure as its similar to building APIs by hand. The idea that GraphQL means that clients can change the query as they wish does not apply to GraphJin. -
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Make It heavy
A Python framework that emulates Grok Heavy functionality
Make It heavy is a Python framework for producing deeper AI analysis through multi-agent orchestration. It is designed to emulate the style of Grok Heavy by splitting a user query into several specialized research angles. The system runs four agents in parallel so each one can explore the problem from a different perspective. It then combines their outputs into one unified answer through an intelligent synthesis step. The framework uses OpenRouter for model access and can also run in single-agent mode for simpler tasks. ... -
20
GoogleSQL
GoogleSQL (formerly ZetaSQL) - Analyzer Framework for SQL
GoogleSQL is a reusable SQL language framework designed to standardize how SQL is written and analyzed across different systems. Previously called ZetaSQL, it defines core elements such as syntax, data models, type systems, and query semantics. Rather than executing queries, GoogleSQL focuses on parsing and validating SQL statements. It ensures consistent behavior for tasks like name resolution, type validation, and automatic casting. Different query engines can adopt the language while choosing which features to support. Unsupported features are clearly surfaced through validation errors. ... -
21
gocql
Package gocql implements a fast and robust Cassandra client for Go
...The next page is automatically pre-fetched in the background once the iterator has passed a certain threshold. Trace queries to obtain a detailed output of all events that happened during the query execution from Cassandra. The output might help to identify bugs and performance bottlenecks in your application. -
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Npgsql Entity Framework Core PostgreSQL
Entity Framework Core provider for PostgreSQL
...The provider looks and feels just like any other Entity Framework Core provider. Aside from providing general EF Core support for PostgreSQL, the provider also exposes some PostgreSQL-specific capabilities, allowing you to query JSON, array or range columns, as well as many other advanced features. For more information, see the the Npgsql site. -
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RtspSimpleServer
ready-to-use RTSP / RTMP / LL-HLS / WebRTC server and proxy
...Serve multiple streams at once in separate paths Authenticate users; use internal or external authentication. Redirect readers to other RTSP servers (load balancing) Query and control the server through an HTTP API. Reload the configuration without disconnecting existing clients (hot reloading) Read Prometheus-compatible metrics. Run external commands when clients connect, disconnect, read or publish streams. Natively compatible with the Raspberry Pi Camera. Compatible with Linux, Windows and macOS, does not require any dependency or interpreter. -
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Event Horizon
Event Sourcing for Go!
Event Horizon is a CQRS/ES toolkit for Go. Event Horizon is used in production systems but the API is not final! CQRS stands for Command Query Responsibility Segregation and is a technique where object access (the Query part) and modification (the Command part) are separated from each other. This helps in designing complex data models where the actions can be totally independent from the data output. ES stands for Event Sourcing and is a technique where all events that have happened in a system are recorded, and all future actions are based on the events instead of a single data model. ... -
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gojq
Pure Go implementation of jq
...You can also embed gojq as a library to your Go products. gojq is purely implemented with Go language and is completely portable. jq depends on the C standard library so the availability of math functions depends on the library. jq also depends on the regular expression library and it makes building scripts complex. gojq implements nice error messages for invalid query and JSON input. The error message of jq is sometimes difficult to tell where to fix the query. gojq does not keep the order of object keys. I understand this might cause problems for some scripts but basically, we should not rely on the order of object keys. Due to this limitation, gojq does not have the keys_unsorted function and --sort-keys (-S) option. gojq supports arbitrary-precision integer calculation while jq does not; jq loses the precision of large integers when calculation is involved.
