Open Source Linux Database Software - Page 22
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Datatables.AspNet
Microsoft AspNet bindings and automatic parsing for jQuery DataTables
Formerly known as DataTables.Mvc, this project started with small objectives around 2014, aiming to provide intermediate and experienced developers a tool to avoid the boring process of handling DataTables parameters. More than a year later after a full rewrite, we are now proud to support Asp.net MVC, WebApi, and Asp.Net Core (full .NET Core support). Unit-testing is a priority to avoid breaking your app and every stable release should provide better and wider test cases. Datatables.AspNet is a server-side integration library for using DataTables with ASP.NET, enabling efficient handling of large data sets in web applications. -
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DenoDB
MySQL, SQLite, MariaDB, PostgreSQL and MongoDB ORM for Deno
Supports PostgreSQL, MySQL, MariaDB, SQLite and MongoDB. Setting up your database with DenoDB is a four-step process. Create models, extending Model. table and fields are both required static attributes. Link your models, to add them to your database instance. Optional, create tables in your database, by using sync. Query your models! Using Mongo means adapting your models to its standards, one being the use of _id for identifying records. The only change on your side is to add an _id field to your models. Models represent tables in your database. Each model should link to one of your database's tables. Every field should also match the name from your database. Creating models is very easy. Import Model from the library and create a class based on what you plan to modelize. The name we call our model might differ from the table name in our database. -
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DictDataBase
A python NoSQL dictionary database, with concurrent access and ACID
DictDataBase (DictDB) is a lightweight, Python-based in-memory database that uses dictionaries as its primary data structure. It provides a simple and efficient way to store, retrieve, and manipulate data without requiring an external database server. DictDB is useful for applications needing fast lookups, temporary storage, or embedded database functionalities. -
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Doctrine JSON Functions
Doctrine DQL functions for SQL JSON data type
DoctrineJsonFunctions is a library that adds native support for JSON-related SQL functions to Doctrine ORM. It extends Doctrine’s DQL capabilities to handle PostgreSQL, MySQL, and SQLite JSON functions, enabling developers to write expressive queries involving JSON fields directly in DQL. This is especially useful for applications that store semi-structured data in relational databases. -
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Duktape
Embeddable Javascript engine with a focus on portability
Duktape is easy to integrate into a C/C++ project: add duktape.c, duktape.h, and duk_config.h to your build, and use the Duktape API to call ECMAScript functions from C code and vice versa. Partial support for ECMAScript 2015 (E6) and ECMAScript 2016 (E7), Post-ES5 feature status, kangax/compat-table. Combined reference counting and mark-and-sweep garbage collection with finalization. Property virtualization using a subset of ECMAScript ES2015 Proxy object. Bytecode dump/load for caching compiled functions. Distributable includes an optional logging framework, CommonJS-based module loading implementations, CBOR bindings, etc. See duktape.org for packaged end-user downloads and documentation. The end user downloads are also available from the duktape-releases repo as both binaries and in unpacked form as git tags. -
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EasyDB
Easy-to-use PDO wrapper for PHP projects
EasyDB is a secure, lightweight, and extensible database wrapper for PHP built on top of PDO. It simplifies query building, error handling, and parameter binding while encouraging best practices like prepared statements. EasyDB is designed for small to mid-sized applications that need clean and secure database access. -
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Evolve
Database migration tool for .NET and .NET Core projects
Evolve is a lightweight database migration tool for .NET applications, compatible with PostgreSQL, MySQL, SQLite, and SQL Server. Designed with simplicity and speed in mind, it runs SQL scripts in order and tracks their history to keep database schema consistent. Evolve integrates easily with .NET projects for version-controlled schema updates. -
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Exposed
Kotlin SQL framework
Welcome to Exposed, an ORM framework for Kotlin. Exposed offers two levels of database access: typesafe SQL wrapping DSL and lightweight data access objects. Our official mascot is Cuttlefish, which is best known for its outstanding mimicry abilities letting it blend seamlessly in any environment. Just like our mascot, Exposed can mimic a variety of database engines and help you build database applications without hard dependencies on any specific database engine, and switch between them with very little or no changes in your code. Exposed is currently available for maven/gradle builds at Maven Central. -
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Flink CDC
Flink CDC is a streaming data integration tool
Apache Flink CDC is a distributed data integration tool that captures data changes in real-time from various databases. It leverages Change Data Capture (CDC) technology to stream data changes into Apache Flink, enabling real-time analytics and data processing. Flink CDC simplifies data pipeline development with its declarative YAML configurations. -
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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Fluent
Vapor ORM (queries, models, and relations) for NoSQL and SQL databases
Fluent is an ORM framework for Swift. It takes advantage of Swift's strong type system to provide an easy-to-use interface for your database. Using Fluent centers around the creation of model types that represent data structures in your database. These models are then used to perform create, read, update, and delete operations instead of writing raw queries. When creating a project using vapor new, answer "yes" to including Fluent and choose which database driver you want to use. This will automatically add the dependencies to your new project as well as example configuration code. If you have an existing project that you want to add Fluent to, you will need to add two dependencies to your package. PostgreSQL is an open source, standards compliant SQL database. It is easily configurable on most cloud hosting providers. This is Fluent's recommended database driver. -
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GeoIP2 Reader for Go
Unofficial MaxMind GeoIP2 Reader for Go
This library reads MaxMind GeoLite2 and GeoIP2 databases. This library is built using the Go maxminddb reader. All data for the database record is decoded using this library. If you only need several fields, you may get superior performance by using maxminddb's Lookup directly with a result struct that only contains the required fields. (See example_test.go in the maxminddb repository for an example of this.) Metadata takes no arguments and returns a struct containing metadata about the MaxMind database in use by the Reader. Enterprise takes an IP address as a net.IP struct and returns an Enterprise struct and/or an error. This is intended to be used with the GeoIP2 Enterprise database. -
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GridDB
GridDB is a next-generation open source database
A cyber-physical systems is a system that collects a variety of data in physical space (the real world), analyzes and converts it into knowledge in cyberspace, and feeds the knowledge back to the real world to revitalize industry and solve social problems. GridDB is an open database that enables real-time processing of vast amounts of time-series data in physical space, which is necessary to realize a cyber-physical system. Multi-model architecture capable of supporting various data stores with time-series data-oriented and pluggable data stores for efficient real-time processing and management of huge amounts of time-series data at high frequency. Various architectural innovations, such as in-memory orientation with "memory as the main unit and disk as the secondary unit" and event-driven design with minimal overhead, have been incorporated to achieve processing capabilities that can handle petabyte-scale applications. -
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Ibis
Expressive analytics in Python at any scale
Ibis is a Python library to help you write expressive analytics at any scale, small to large. Its goal is to simplify analytical workflows and make you more productive. Ibis gives you the benefit of a programming language. 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. This can help significantly when [composing complex operations. -
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Irmin
Irmin is a distributed database
Irmin is an OCaml library for building mergeable, branchable distributed data stores. A distributed database built on the same principles as Git. Backup and restore your data at any point in time. You can use Irmin on top of your own storage layer. Automatic (de)serialization for custom data types. Runs anywhere from Linux to web browsers and Xen unikernels. Bi-directional compatibility with the Git on-disk format. Irmin state can be inspected and modified using the Git command-line tool. Allows users to define custom merge functions and create event-driven workflows using a notification mechanism. Runs anywhere from Linux to web browsers and Xen unikernels. Allows the users to define custom merge functions, use in-memory transactions (to keep track of reads as well as writes) and to define event-driven workflows using a notification mechanism. You can use Irmin on top of your own storage layer. -
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Isar Inspector
Isar inspector local
Isar Inspector is a debugging and visualization tool for Isar, a high-performance, Flutter-compatible NoSQL database, providing insights into stored data and database structure. -
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Jedis
A small redis java client
Jedis is a blazingly small and sane Redis java client. Jedis was conceived to be EASY to use. Jedis is fully compatible with redis 2.8.x, 3.x.x and above. The features supported are sorting, connection handling, commands operating on any kind of values, commands operating on string values, commands operating on hashes, commands operating on lists, commands operating on sets, commands operating on sorted sets, commands operating on streams, transactions, pipelining, publish/subscribe, persistence control commands, remote server control commands, connection pooling, sharding (MD5, MurmurHash), key-tags for sharding, sharding with pipelining, scripting with pipelining, and Redis Cluster. Redis is primarily built for master/slave distribution. This means that write requests have to be explicitly addressed to the master (a redis server), which replicates changes to slaves (which are also redis servers). -
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KairosDB
Fast scalable time series database
KairosDB is a fast distributed scalable time series database written on top of Cassandra. -
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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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Kundera
A JPA 2.1 compliant Polyglot Object-Datastore Mapping Library
Kundera is an object-database mapping library (ODM) for NoSQL databases, allowing Java applications to interact with various NoSQL data stores using JPA (Java Persistence API). -
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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 of modern typescript, Kysely is even able to parse the alias given to pet.name and add the pet_name column to the result row type. Kysely is able to infer column names, aliases and types from selected subqueries, joined subqueries, with statements and pretty much anything you can think of. Of course there are cases where things cannot be typed at compile time, and Kysely offers escape hatches for these situations. -
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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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Laravel DB Snapshots
Quickly dump and load databases
Laravel DB Snapshots is a package that allows you to easily create, load, and manage database snapshots within Laravel applications. It’s especially useful in testing and staging environments where resetting the database to a known state is critical. By integrating with Laravel’s Artisan commands, the tool offers a streamlined developer experience. -
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LivingStyleGuide
Easily create front-end style guides with Markdown and Sass/SCSS
Easily create living style guides/front-end style guides/pattern libraries by adding Markdown documentation to your Sass project. By clicking the color swatch in the style guide, users can copy the hex code of the color (useful for designers). When pointing the cursor on the variable name, it will be copied on click instead (useful for developers). The output will respect newlines. You can add any CSS to each example if it helps to make it better in the style guide only. You can set options to apply to all commands or all commands giving a name. This is useful when you depend on Haml or other templating engines. If you want your style guide to work as an API, you might have views already written somewhere else and don’t want to write the same HTML code into the style guide. -
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MMKV
The fastest key/value storage for React Native
MMKV is an efficient, small mobile key-value storage framework developed by WeChat. react-native-mmkv is a library that allows you to easily use MMKV inside your React Native applications. It provides fast and direct bindings to the native C++ library which are accessible through a simple JS API. Get and set strings, booleans and numbers. Fully synchronous calls, no async/await, no Promises, no Bridge. Encryption support (secure storage). Multiple instances support (separate user-data with global data). Customize storage location. High performance because everything is written in C++. ~30x faster than AsyncStorage. Uses JSI instead of the "old" Bridge. iOS, Android and Web support. Easy to use React Hooks API. StorageBenchmark compares popular storage libraries against each other by reading a value from storage for 1000 times. -
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MarketStore
DataFrame server for financial timeseries data
MarketStore is a database server optimized for financial time-series data. You can think of it as an extensible DataFrame service that is accessible from anywhere in your system, at higher scalability. It is designed from the ground up to address scalability issues around handling large amounts of financial market data used in algorithmic trading backtesting, charting, and analyzing price history with data spanning many years, and granularity down to tick-level for the all US equities or the exploding cryptocurrencies space. If you are struggling with managing lots of HDF5 files, this is perfect solution to your problem. The batteries are included with the basic install, you can start pulling crypto price data from GDAX and writing it to the db with a simple plugin configuration. MarketStore enables you to query DataFrame content over the network at as low latency as your local HDF5 files from disk.