Open Source Linux Database Software - Page 21
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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SQLPad
Web-based SQL editor run in your own private cloud
A web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, ClickHouse, Crate, Vertica, Trino, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, TiDB, and many more via ODBC. The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure stability. See docker-examples directory for example docker-compose setup with SQL Server. -
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SQLer
write APIs using direct SQL queries with no hassle
sqler is a lightweight API gateway that automatically exposes your SQL database as a RESTful API. It allows developers to run parameterized SQL queries safely over HTTP, turning databases into microservices without writing backend code. sqler is great for prototyping, dashboards, and internal tools with quick database integration. -
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ShardingSphere
Distributed database ecosphere
Apache ShardingSphere is an open-source ecosystem consisted of a set of distributed database solutions, including 3 independent products, JDBC, Proxy & Sidecar (Planning). They all provide functions of data scale out, distributed transaction and distributed governance, applicable in a variety of situations such as Java isomorphism, heterogeneous language and cloud native. Apache ShardingSphere aiming at reasonably making full use of the computation and storage capacity of existed database in distributed system, rather than a totally new database. As the cornerstone of enterprises, relational database still takes a huge market share. Therefore, we prefer to focus on its increment instead of a total overturn. Apache ShardingSphere begin to focus on pluggable architecture from version 5.x, features can be embedded into project flexibility. -
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Speedment
Speedment is a Stream ORM Java Toolkit and Runtime
Speedment is an open-source Java Stream ORM toolkit and runtime. The toolkit analyzes the metadata of an existing SQL database and automatically creates a Java representation of the data model. This powerful ORM enables you to create scalable and efficient Java applications using standard Java streams with no need to type SQL or use any new API. Speedment was originally developed by researchers and engineers based in Palo Alto with the purpose to simplify and streamline the development of Java database applications by leveraging the Java Stream API. Speedment is licensed under the business-friendly Apache 2 license. Contribution from users is encouraged. Please feel free to request new features, suggest improvements and file bug reports. Assuming you have Maven installed and a relational database available, you can start using Speedment in a minute. Automatic Java representation of the latest state of your database eliminates boilerplate code and the need of manually writing Java. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Totum MIT
Small-code database for non-programmers
Totum is a no-code/low-code platform for creating data-driven business apps and dashboards. It uses a spreadsheet-like interface to let users define logic, automate processes, and build complex forms and workflows without traditional programming. Totum-MIT is the open-source core of this system, designed for internal business tools and enterprise apps. -
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WebApp.rs
A web application completely written in Rust
A web application completely written in Rust. Target of this project is to write a complete web application including the backend and front within Rust. The app consists of a frontend and a backend. For getting started with hacking, the backend can be tested via make run-backend, whereas the frontend can be tested with make run-frontend. You can adapt the application configuration within Config.toml if needed. make deploy uses podman to start a PostgreSQL container and the Rust backend container. If you wish to use docker instead of podman, set CONTAINER_RUNTIME=docker in the top of Makefile. Edit Config.toml if needed to set the backend url and PostgreSQL credentials. The login screen will accept any username and password that are equal, such as me (username) and me (password). There is currently no further user authentication yet, but nonmatching combination will result in an authentication failure. -
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ZhParser
PostgreSQL extension for full-text search of Chinese language
zhparser is a PostgreSQL extension for full-text search of Chinese text. It integrates with PostgreSQL's text search engine to tokenize Chinese characters using a dictionary-based segmentation algorithm. zhparser is a valuable tool for improving search accuracy and performance in Chinese-language applications. -
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atk4/data
Data Access PHP Framework for SQL & high-latency databases
ATK Data is a data persistence and modeling framework for PHP, developed as part of the Agile Toolkit. It provides a high-level abstraction for working with databases, making it easier to define and manipulate data models with minimal boilerplate code. It supports various SQL and NoSQL databases and integrates seamlessly with Agile UI and other PHP frameworks. -
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gobang
A cross-platform TUI database management tool written in Rust
A cross-platform TUI database management tool written in Rust. Cross-platform support (macOS, Windows, Linux). Multiple Database support (MySQL, PostgreSQL, SQLite). Intuitive keyboard-only control. gobang means a Japanese game played on goban, a go board. The appearance of goban looks like table structure. If you’re using Homebrew or Linuxbrew, install the gobang formula. If you want to add connections, you need to edit your config file. -
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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mssql-cli
A command-line client for SQL Server with auto-completion
mssql-cli is an interactive command line query tool for SQL Server. This open-source tool works cross-platform and is proud to be a part of the dbcli community. mssql-cli supports a rich interactive command line experience, with features such as auto-completion, fewer keystrokes needed to complete complicated queries. Syntax highlighting, highlights T-SQL keywords. Query history, easily complete an auto-suggested query that was previously executed. Configuration file support, customize the mssql-cli experience for your needs. Multi-line queries, execute multiple queries at once using the multi-line edit mode. Non-interactive support, execute a query without jumping into the interactive experience. -
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node-oracledb
Oracle Database driver for Node.js maintained by Oracle Corp
The node-oracledb add-on for Node.js powers high-performance Oracle Database applications. Applications can be written in TypeScript, or directly in JavaScript. Use node-oracledb 5.4 to connect Node.js 14, or later, to Oracle Database. Older versions of node-oracledb may work with older versions of Node.js. Node-oracledb supports basic and advanced features of Oracle Database and Oracle Client. The node-oracledb module is open source and maintained by Oracle Corp. It is stable, well documented, and has a comprehensive test suite. Oracle gratefully acknowledges the contributions to node-oracledb that have been made by the community. Inbuilt Connection Pool with Queuing, Aliasing, Tagging, Draining, Heterogeneous and Homogeneous connections, Proxy connections and Liveness checking. Use of Oracle Network Service infrastructure, including encrypted network traffic and security features. -
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pg-mem
An in memory postgres DB instance for your unit tests
pg-mem is an in-memory PostgreSQL emulator for Node.js and TypeScript that allows you to simulate a Postgres database without a real server. It’s perfect for unit testing and development scenarios where spinning up a full database would be too heavy. pg-mem supports many Postgres features and is compatible with various ORMs like TypeORM and Sequelize. -
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pgai
A suite of tools to develop RAG, semantic search, and other AI apps
pgai is a suite of PostgreSQL extensions developed by Timescale to empower developers in building AI applications directly within their databases. It integrates tools for vector storage, advanced indexing, and AI model interactions, facilitating the development of applications like semantic search and Retrieval-Augmented Generation (RAG) without leaving the SQL environment. -
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pgsync
Postgres to Elasticsearch/OpenSearch sync
pgsync is a lightweight tool for syncing Postgres databases across environments, such as from production to staging. It allows selective table syncing, data masking, and parallel copying for fast and safe data migration. pgsync is ideal for developers who need realistic test data without exposing sensitive information. -
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realm dotnet
Realm is a mobile database: a replacement for SQLite & ORMs
Realm is a fast, scalable alternative to SQLite with mobile to cloud data sync that makes building real-time, reactive mobile apps easy. Build data-rich apps without draining device resources with Realm's lazy loading and zero-copy architecture. The object-oriented data model lets developers work directly with native objects – no ORMs or DAOs are needed. Real-time mobile to cloud data sync makes it easy to build interactive features that keep data up-to-date across multiple devices, users, and the backend. Accelerate time-to-market with easy to learn, language-native APIs that simplify data access. Device Sync, backed by MongoDB Atlas, handles the most complex part of connecting your client to the backend with ease – guaranteeing an app that works as expected and syncs data reliably, every time. Build full mobile apps with ease. -
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tiedot
A rudimentary implementation of a basic document database in Go
tiedot is a document database engine that uses JSON as document notation; it has a powerful query processor that supports advanced set operations; it can be embedded into your program, or run a stand-alone server using HTTP for an API. It runs on *nix and Windows operating systems. tiedot has fault-tolerant data structures that put your data safety first, while easily scales to 4+ CPU cores. tiedot has very stable performance, even with millions of records! It consistently achieves high throughput, swallow more than 120k records or 80k complicated queries per second with confidence. The newest version 3.4 comes with general performance and compatibility improvements. tiedot is a very small project in the large open source community, it is growing fast thanks to the 800+ stars and watchers, as well as many contributors for their feedback, comments, ideas and code. -
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Java Application Framework For All
JAFFA is a Rich Web 2.0 POJO based Event-Driven SOA framework
An Enterprise Focused Java Framework For Rapid Application Development. JAFFA is a Java web application development stack, build around Web 2.0 technologies (ExtJS, DWR, JAWR) with an extensive service architecture, meta-data layer and rules engine (based on JBoss AOP and Drools). It provides an event driven SOA infrastructure with advanced scheduling and queue sub-systems -
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An open-source ODBC driver manager and SDK that facilitates the development of database-independent applications on linux, freebsd, unix and MacOS X platforms.
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BiBlio MX
Library management, gestión de bibliotecas, gestione biblioteca
N.B. l'iD identifica la scheda nell'archivio in modo univoco; non e' modificabile. N.B. the iD identifies the card in the archive in a unique way; It is not editable. N.B. el iD identifica la tarjeta en el archivo de una manera única; No es editable. Last updated 1.3.2 https://goo.gl/kSvWts (Android™) English version of the popular application for library management, structured so as to be functional for both private and professional use. Versión Española de la popular aplicación para la gestión de una biblioteca, estructurado de manera que sea funcional tanto para uso privado y profesional. Versione Italiana Software per la gestione di una biblioteca, strutturato in modo da essere funzionale sia per uso privato che professionale. Disponibile in Italiano, Spagnolo, Inglese, Portoghese, Francese. ----------- added English, Spanish, Portuguese and French languages. Thanks to Francisco Manuel Fernandez Trujillo for the realization. tutorial in Spanish -
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Eclipse SQL Client for database querying/browsing any JDBC compliant database. It supports plugins with specialized functionality for individual databases (Oracle, DB2, MySQL, PostgreSQL, Sybase, Informix) and can be extended.
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Excel - NSE Stock Option Chain
Fetch the live NSE Stock Option Chain data in Excel
Useful Excel sheet for Stock Option Traders. This Excel sheet can fetch the Live NSE Option Chain Data for Stocks. Fetch the live Stock Option Chain data such as Open Interest and Price at differentStrike prices, specifically few Strike Price ranges near to ATM in Excel sheet. It can be used to compare and analyze Open Interest and Price Changes at different Strike Prices. This Excel sheet collects the following data at a given Strike Price, for both Calls (CE) and Puts (PE) and at different Expiry Dates. > Open Interest (OI) > Change in Open Interest (in %), > Last Traded Price for NSE Stock option (in INR) > Change in Last Traded Price (%) It narrows down and fetches few selective Strike Price ranges only at Out of Money (OTM) near to ATM (At the Money) and not fetches from deep far Out of Money Strike Price data. So, it gives a simplified view on OI and Price changes. Homepage : https://www.enote.page/2022/08/stock-option-chain.html -
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MySQL English Dictionary
A Full English - English dictionary in MySQL Format
A dictionary with 176023 entries. Text was extracted from the files at http://www.mso.anu.edu.au/~ralph/OPTED/ and then parsed and stored in a 16MB MySQL database. The database has three fields : a. word b. wordtype and c. definition. You can use this standalone or as a jquery/ajax/PHP addon for your programs. Acknowledgment of the original content: a. OPTED b. Project Gutenburg c. and the 1913 edition of Webster's Unabridged Dictionary