Search Results for "sql query"
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Showing 441 open source projects for "sql query"
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Kysely SQL
A type-safe TypeScript SQL query builder
Kysely is a type-safe TypeScript SQL query builder that provides an intuitive and autocompletion-friendly API. It allows developers to construct complex SQL queries with full type safety, reducing runtime errors and improving code maintainability. Kysely supports various SQL dialects and is compatible with Node.js, Deno, and browser environments. -
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SQL Explorer
Easily share data across your company via SQL queries
...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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SQL Studio
SQL Database Explorer [SQLite, libSQL, PostgreSQL, MySQL/MariaDB
SQL Studio is a database explorer supporting multiple databases like SQLite, libSQL, PostgreSQL, MySQL/MariaDB, DuckDB, and ClickHouse. -
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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. -
Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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Query.jl
Query almost anything in julia
...The package currently provides working implementations for in-memory data sources, but will eventually be able to translate queries into e.g. SQL. There is a prototype implementation of such a "query provider" for SQLite in the package, but it is experimental at this point and only works for a very small subset of queries. Query is heavily inspired by LINQ, in fact right now the package is largely an implementation of the LINQ part of the C# specification. Future versions of Query will most likely add features that are not found in the original LINQ design. -
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SQL Formatter
A whitespace formatter for different query languages
SQL Formatter is a JavaScript library for pretty-printing SQL queries. It started as a port of a PHP Library, but has since considerably diverged. It supports various SQL dialects: GCP BigQuery, IBM DB2, Apache Hive, MariaDB, MySQL, Couchbase N1QL, Oracle PL/SQL, PostgreSQL, Amazon Redshift, SingleStoreDB, Snowflake, Spark, SQL Server Transact-SQL, Trino/Presto. See language option docs for more details. The CLI tool will be installed under sql-formatter and may be invoked via npx... -
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Hello SQL
Spanish-language course repository that teaches fundamentals of SQL
...It targets absolute beginners as well as developers from other stacks who want a clean, project-based path into SQL. -
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Anyquery
Query anything (GitHub, Notion, +40 more) with SQL and let LLMs
Anyquery is an open-source SQL query engine designed to allow users to query data from almost any source using a unified SQL interface. The system enables developers and analysts to run SQL queries on files, APIs, applications, and databases without needing separate connectors or query languages for each platform. Built on top of SQLite, the engine uses a plugin architecture that allows it to extend support to dozens of external services and data sources. ... -
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athenaSQL
SQL builder for AWS Athena, inspired by sparkSQL
athenaSQL is Athena SQL query builder, inspired by sparkSQL. It borrow some sparkSQL’s concept sparkSQL. It was initially designed to eliminate the need for hard-coding SQL queries as strings within Python scripts and as an alternative to any bespoke SQL query templating. However, it offers the flexibility to be used in various ways as needed. -
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Bob
SQL query builder and ORM/Factory generator for Go
Bob is a SQL query builder for Go that emphasizes composability, type safety, and maintainability. It allows developers to construct dynamic queries in a programmatic and reusable way, supporting both simple and complex SQL logic. Bob helps avoid raw string concatenation, making Go-based database interactions more robust and testable. -
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Jet Database
Type safe SQL builder with code generation and automatic query result
Jet is a complete solution for efficient and high-performance database access, consisting of a type-safe SQL builder with code generation and automatic query result data mapping. Jet currently supports PostgreSQL, MySQL, CockroachDB, MariaDB, and SQLite. Future releases will add support for additional databases. -
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SqlKata QueryBuilder
SQL query builder, written in c#, helps you build complex queries
SqlKata is a powerful and elegant SQL query builder for .NET that provides a fluent, expressive syntax to construct complex SQL queries programmatically. It supports multiple database engines and can compile queries to raw SQL with parameters, making it easy to integrate with Dapper or ADO.NET. SqlKata emphasizes flexibility and readability, enabling developers to write maintainable and reusable query logic. -
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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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Knex
A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, etc.
Knex.js is a flexible and portable SQL query builder for JavaScript. It supports multiple database systems, including PostgreSQL, MySQL, SQLite3, and more. Knex.js offers a powerful and intuitive API for building and executing SQL queries, making it a popular choice for Node.js applications requiring database interactions. -
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Antares
A modern, fast and productivity driven SQL client with a focus in UX
Antares is a modern, cross-platform SQL client built with Electron and Vue.js. It offers a clean and intuitive UI for managing databases like MySQL, PostgreSQL, SQLite, and more. Designed for developers and DBAs, Antares supports tabbed browsing, query editing with syntax highlighting, and visual schema exploration, making it a powerful alternative to heavier database tools. -
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Slonik
A Node.js PostgreSQL client with runtime and build time type safety
Slonik is a PostgreSQL client for Node.js that ensures safe and efficient query execution by using tagged template literals, preventing SQL injection attacks and promoting better query structure. -
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SeaQuery
A dynamic SQL query builder for MySQL, Postgres and SQLite
SeaQuery is a query builder to help you construct dynamic SQL queries in Rust. You can construct expressions, queries and schema as abstract syntax trees using an ergonomic API. We support MySQL, Postgres and SQLite behind a common interface that aligns their behavior where appropriate. -
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pg_graphql
GraphQL support for PostgreSQL
pg_graphql is a PostgreSQL extension that enables querying the database with GraphQL using a single a SQL function. 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. ... -
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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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Beekeeper Studio
Cross-platform SQL Editor and Database Manager
Beekeeper Studio is an open source, cross-platform SQL editor and database management app that is both powerful and easy to use. It lets you query and manage your relational databases, with support for connecting to SQLite, MySQL, MariaDB, Postgres, SQL Server and Amazon Redshift databases. Unlike most other open source SQL editors and database managers, Beekeeper Studio isn’t cluttered with unnecessary features, but does come with the essentials that you need. ... -
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HoneySQL
Turn Clojure data structures into SQL
HoneySQL is a Clojure library that transforms data-structure-based query descriptions into SQL strings (with parameter separation). It focuses purely on generation—leaving execution to libraries like next.jdbc. It supports complex constructs (JOINs, subqueries, CTEs), and allows dynamic query-building with safety and readability. -
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Vanna
Chat with your SQL database
Vanna.AI is an AI-powered tool for natural language database querying, enabling users to interact with databases using simple English queries. It converts natural language questions into SQL queries, making data access more intuitive for non-technical users. -
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Ebean
Ebean ORM
...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. Docker test containers for all the supported databases. Get 100% test coverage on all the features of the database we use. We can build queries using type safe query beans. -
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Vanna 2.0
Chat with your SQL database
Vanna is an open-source Python framework that enables natural language interaction with databases by converting user questions into executable SQL queries using large language models. The framework uses a retrieval-augmented generation architecture that learns from database schemas, documentation, and past query examples to generate accurate queries tailored to a specific dataset. Vanna can be integrated into many environments, including notebooks, web applications, messaging platforms, and data dashboards, making it flexible for analytics and data exploration workflows. ... -
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SQLAlchemy
The Database Toolkit for Python
...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. A relationally-oriented query system, exposing the full range of SQL's capabilities explicitly, including joins, subqueries, correlation, and most everything else, in terms of the object model. Writing queries with the ORM uses the same techniques of relational composition you use when writing SQL.
