Search Results for "sql table"
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Showing 151 open source projects for "sql table"
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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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MySQL Edit Table
Editor for MySQL - PHP class
Editor for MySQL database tables. Edit, View or Add records of a MySQL table. Languages: English, French, German, Italian, (Mex) Spanish, Dutch and Swedish -
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Adminer
Database management in a single PHP file
Adminer (formerly phpMinAdmin) is a full-featured database management tool written in PHP. Conversely to phpMyAdmin, it consist of a single file ready to deploy to the target server. Adminer is available for MySQL, MariaDB, PostgreSQL, SQLite, MS SQL, Oracle, Elasticsearch, MongoDB and others via plugin. Replace phpMyAdmin with Adminer and you will get a tidier user interface, better support for MySQL features, higher performance and more security. Connect to a database server with username and password. Select an existing database or create a new one. List fields, indexes, foreign keys and triggers of table Change name, engine, collation, auto_increment and comment of table. ... -
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DbGate
Database manager for MySQL, PostgreSQL, SQL Server, MongoDB
...Runs as an application for Windows, Linux and Mac. Or in Docker container on the server and in a web browser on the client. Import, export from/to CSV, Excel, JSON, XML. Free table editor - quick table data editing (cleanup data after import/before export, prototype tables, etc.) Archives - back up your data in JSON files on local filesystem (or on DbGate server, when using web application) Charts, export chart to HTML page. -
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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. This includes SQL auto... -
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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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CDC Connectors for Apache Flink
CDC Connectors for Apache Flink
...CDC connectors for DataStream API, users can consume changes on multiple databases and tables in a single job without Debezium and Kafka deployed. CDC connectors for Table/SQL API, users can use SQL DDL to create a CDC source to monitor changes on a single table. CDC Connectors for Apache Flink® supports ingesting snapshot data and real time changes from databases to Flink®. -
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PGManage
Web tool for database management
pgManage is an open-source, cross-platform desktop GUI for managing PostgreSQL databases. It provides a tabbed interface for browsing schemas, writing queries, and managing server configurations. Designed for both developers and DBAs, pgManage aims to be a user-friendly yet powerful alternative to pgAdmin. -
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Ibis
Expressive analytics in Python at any scale
...You don't need to sacrifice maintainability to get to those insights! Ibis builds on top of and works with existing Python tools. Ibis provides a full-featured replacement for SQL SELECT queries, but expressed with Python code. All tables in Ibis are immutable. To select a subset of a table's columns, or to add new columns, you must produce a new table by means of a projection. If you pass a function instead of a string or Ibis expression in any projection context, it will be invoked with the "parent" table as its argument. ... -
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Apache Iceberg
Apache Iceberg
Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data while making it possible for engines like Spark, Trino, Flink, Presto, Hive, and Impala to safely work with the same tables, at the same time. The core Java library that tracks table snapshots and metadata is complete, but still evolving. Current work is focused on adding row-level deletes and upserts, and integration work with new engines like Flink and Hive. ... -
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pgstream
PostgreSQL replication with DDL changes
pgstream is an open source CDC command-line tool and library that offers Postgres replication support with DDL changes to any provided output. One of the main differentiators of pgstream is the fact that it tracks and replicates schema changes automatically. It relies on SQL triggers that will populate a Postgres table (pgstream.schema_log) containing a history log of all DDL changes for a given schema. Whenever a schema change occurs, this trigger creates a new row in the schema log table with the schema encoded as a JSON value. This table tracks all the schema changes, forming a linearised change log that is then parsed and used within the pgstream pipeline to identify modifications and push the relevant changes downstream. -
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Genji
Document-oriented, embedded SQL database
...Genji was designed for simplicity in mind. It is really easy to insert and read documents of any shape. Genji mixes the best of both worlds by combining powerful SQL commands with JSON. Genji tables are schemaless, but it is possible to add constraints on any field to ensure the coherence of data within a table. -
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Backup Tables
Backup single or multiple database tables with ease
Backup single or multiple database tables with ease. Use the BackupTables::generateBackup($tableToBackup) Facade anywhere in your application and it will generate $tableToBackup_backup_2024_08_22_17_40_01 table in the database with all the data and structure. Note that the datetime 2024_08_22_17_40_01 will be varied based on your datetime. -
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goose
A database migration tool. Supports SQL migrations and Go functions
goose is a database migration tool. Manage your database schema by creating incremental SQL changes or Go functions. Starting with v3.0.0 this project adds Go module support, but maintains backwards compatibility with older v2.x.y tags. Goose supports embedding SQL migrations, which means you'll need go1.16 and up. If using go1.15 or lower, then pin v3.0.1. We use timestamped migrations by default but recommend a hybrid approach of using timestamps in the development process and sequential versions in production. ... -
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Kysely
A type-safe typescript SQL query builder
Kysely (pronounce “Key-Seh-Lee”) is a type-safe and autocompletion-friendly typescript SQL query builder. Inspired by knex. Mainly developed for node.js but also runs on deno and in the browser. Kysely makes sure you only refer to tables and columns that are visible to the part of the query you're writing. The result type only has the selected columns with correct types and aliases. As an added bonus you get autocompletion for all that stuff. As shown in the gif above, through the pure magic... -
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Entity Framework 6
This is the codebase for Entity Framework 6
Entity Framework 6 (EF6) is a proven object-relational (O/RM) mapper for .NET with many years of feature development and stabilization. Like O/RM, EF6 reduces the impedance mismatch between the relational and object-oriented worlds, allowing developers to write applications that interact with data stored in relational databases with strongly typed .NET objects that represent the domain of the database. application, and eliminate the need for much of the data access "mechanical" code that you... -
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Bracket
Selfhosted tournament system
Bracket is an open-source tool that tracks and manages data access across your PostgreSQL database. It provides visibility into which parts of your codebase are accessing which tables and columns, enabling data governance, security auditing, and architectural insights. Bracket is particularly helpful for growing teams needing better observability in complex applications. -
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Sequin
Postgres change data capture to streams and queues like Kafka
Sequin is a change data capture (CDC) system that replicates API data to Postgres in real time. It syncs services like Stripe, Salesforce, and GitHub into PostgreSQL tables, enabling developers to query third-party data with standard SQL. Sequin is ideal for building data-driven applications that need immediate visibility into external SaaS platforms. -
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TailwindSQL
TailwindSQL lets you write SQL queries using Tailwind-style class name
TailwindSQL is an experimental library that lets developers write SQL queries using Tailwind-style class names, essentially turning database queries into declarative class attributes that can be used directly in frameworks like React Server Components. Inspired by the simplicity and utility of Tailwind CSS, TailwindSQL allows developers to describe database queries using a familiar syntax such as db-table-column-where-field-value, collapsing traditional SQL into readable, utility-driven structures that map directly to data fetches. ... -
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mycli
CLI for MySQL with auto-completion and syntax highlighting
mycli is an enhanced command-line client for MySQL and MariaDB that features syntax highlighting and intelligent auto-completion for database queries. Built for developers and DBAs, it improves productivity with features like query history, table suggestions, and colored output. The tool is designed to be both powerful and user-friendly, making interactive database work more efficient and visually intuitive. -
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Mathesar
An intuitive spreadsheet-like interface
Mathesar is an open-source platform designed to make databases accessible to non-technical users. It offers an intuitive spreadsheet-like interface on top of PostgreSQL, allowing users to create, edit, and analyze structured data without writing SQL. Built with user experience in mind, Mathesar empowers teams to collaborate on data-driven workflows while retaining the power of a real relational database. -
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BaikalDB
BaikalDB, A Distributed HTAP Database
BaikalDB is a distributed enhanced structured database system. It supports sequential and randomized real-time read/write of structural data in a petabytes-scale. BaikalDB is compatible with MySQL protocol and it supports MySQL-style SQL dialect, by which users can migrate their data storage from MySQL to BaikalDB seamlessly. BaikalDB internally provides projections, filter operators (corresponding with SQL WHERE or HAVING clause), aggregation operators (corresponding with GROPY BY clause)... -
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OctoSQL
Join, analyse and transform data from multiple databases
OctoSQL is predominantly a CLI tool which lets you query a plethora of databases and file formats using SQL through a unified interface, even do JOINs between them. (Ever needed to join a JSON file with a PostgreSQL table? OctoSQL can help you with that.) OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL. At the same time it's an easily extensible full-blown dataflow engine, and you can use it to add a SQL interface to your own applications. ... -
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pgweb
Cross-platform client for PostgreSQL databases
Pgweb is a web-based, cross-platform PostgreSQL database browser written in Go. Go was used in backend development in order to utilize the ability of the compiler to produce zero-dependency binaries for multiple platforms. Pgweb was created as an attempt to build a very simple and portable application to work with local or remote PostgreSQL databases. -
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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. Your queries are checked by the C# compiler and allow for easy refactoring. However, it's not as heavy as LINQ to SQL...
