Search Results for "common"
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Showing 176 open source projects for "common"
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1
Squawk
Linter for Postgres migrations & SQL
Squawk is a static SQL linter for PostgreSQL designed to catch common mistakes and enforce query best practices. It analyzes raw SQL files and flags errors, anti-patterns, or style issues before queries are deployed. Squawk is ideal for teams that want to enforce SQL standards in CI pipelines. -
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Advanced Alchemy
A carefully crafted, thoroughly tested, optimized companion library
advanced-alchemy is an opinionated ORM toolkit built on SQLAlchemy and designed for integration with the Litestar web framework. It simplifies common ORM patterns such as CRUD, pagination, and async support while providing extensibility and best practices out of the box. It’s designed to accelerate backend development for modern Python web apps. -
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Kivik
Common interface to CouchDB or CouchDB-like databases for Go
Kivik is a Go client library for interacting with CouchDB and PouchDB databases, providing an abstraction layer for NoSQL document storage and retrieval. It simplifies database operations for Go developers. -
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Medoo
The lightweight PHP database framework to accelerate the development
Medoo is an open-source project under MIT license and will always be free to use. A lightweight PHP database framework to accelerate development. Supports MySQL, MSSQL, SQLite, MariaDB, PostgreSQL, Sybase, Oracle, and more. Supports various common and complex SQL queries, data mapping, and prevents SQL injection. Works well with every PHP framework, like Laravel, Yii, Slim, and framework which supports singleton extension or composer. -
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5
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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Mikro Orm
TypeScript ORM for Node.js based on Data Mapper, Unit of Work
TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. MikroORM allows handling transactions automatically. When you call em.flush(), all computed changes are wrapped inside a database transaction. Uses source code analysis so you do not have to repeat yourself when defining entities. Simply define correct TypeScript types and you are good to go! Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases, and more can be supported via custom drivers... -
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Scany
Library for scanning data from a database into Go structs and more
Go favors simplicity, and it's pretty common to work with a database via driver directly without any ORM. It provides great control and efficiency in your queries, but here is a problem: you need to manually iterate over database rows and scan data from all columns into a corresponding destination. It can be error-prone verbose and just tedious. scany aims to solve this problem. -
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db
Data access layer for PostgreSQL, CockroachDB, MySQL, SQLite, etc.
...Use the SQL builder or raw SQL statements for advanced cases. An (optional) ORM-like layer is available for all your data modelling needs. The goal of upper/db is to give you tools for the most common operations with databases and stay out of the way in more advanced cases. If you feel like writing tons of simple SELECT * statements by hand is not the best use of your time, then upper/db is the library for you. We've designed the API with productivity and readability in mind. -
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doobie
Functional JDBC layer for Scala
doobie is a pure functional JDBC layer for Scala and Cats. It is not an ORM, nor is it a relational algebra; it simply provides a functional way to construct programs (and higher-level libraries) that use JDBC. For common use cases doobie provides a minimal but expressive high-level API. doobie is a Typelevel project. This means we embrace pure, typeful, functional programming, and provide a safe and friendly environment for teaching, learning, and contributing as described in the Scala Code of Conduct. Note that doobie is pre-1.0 software and is still undergoing active development. ... -
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10
OceanBase
OceanBase is an enterprise distributed relational database
OceanBase Database is a native distributed relational database. It is developed entirely by Ant Group. OceanBase Database is built on a common server cluster. Based on the Paxos protocol and its distributed structure, OceanBase Database provides high availability and linear scalability. OceanBase Database is not dependent on specific hardware architectures. Single server failure recovers automatically. OceanBase Database supports cross-city disaster tolerance for multiple IDCs and zero data loss. ... -
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level
Universal abstract-level database for Node.js and browsers
...This is a convenience package that exports classic-level in Node.js and browser-level in browsers, making it an ideal entry point to start creating lexicographically sorted key-value databases. All asynchronous methods also support callbacks. TypeScript type declarations are included and cover the methods that are common between classic-level and browser-level. Usage from TypeScript requires generic type parameters. At the time of writing, level works in Node.js 12+ and Electron 5+ on Linux, Mac OS, Windows and FreeBSD, including any future Node.js and Electron release thanks to Node-API, including ARM platforms like Raspberry Pi and Android, as well as in Chrome, Firefox, Edge, Safari, iOS Safari and Chrome for Android. -
12
dqlite
Embeddable, replicated and fault tolerant SQL engine
...C-Raft and dqlite are both written in C for maximum cross-platform portability. Published under the LGPLv3 license with a static linking exception for maximum compatibility. Includes common CLI pattern for database initialization and voting member joins and departures. -
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MongoDB Rust Driver
The official MongoDB Rust Driver
...It makes extensive use of Rust’s ownership and type systems to ensure memory safety, thread safety, and predictable performance without garbage collection overhead. The driver supports common MongoDB features like CRUD operations, indexing, aggregations, change streams, and transactions, enabling full use of the database’s capabilities from Rust applications. Because it’s asynchronous by design, it works well with Rust async runtimes like Tokio and async-std, letting developers build highly concurrent networked services that efficiently use modern multicore hardware. ... -
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ZeusDB Vector Database
Blazing-fast vector DB with similarity search and metadata filtering
ZeusDB is a vector database built for fast, scalable similarity search with strong production ergonomics. It combines high-performance approximate nearest neighbor indexes with clean APIs and metadata filtering so applications can retrieve semantically relevant items at low latency. The storage layer is designed for durability and growth, supporting sharding, replication, and background compaction while keeping query tails predictable. Developers get multiple ingestion paths—batch,... -
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ImmortalDB
A relentless key-value store for the browser
...Data saved to ImmortalDB is redundantly stored in Cookies, IndexedDB, and LocalStorage, and relentlessly self heals if any data therein is deleted or corrupted. For example, clearing cookies is a common user action, even for non-technical users. And browsers unceremoniously delete IndexedDB, LocalStorage, and/or SessionStorage without warning under storage pressure. ImmortalDB is resilient in the face of such events. Doesn't vandalize performance or the user experience. For example, Evercookie's CSS History Knocking can beget a deluge of background HTTP requests, and loading Silverlight or Flash can raise unsought permission modals or thrash the user's disk. ... -
16
Specification for GraphQL
A working draft of the Specification for GraphQL, a query language
This is the specification for GraphQL, a query language and execution engine originally created at Facebook in 2012 for describing the capabilities and requirements of data models for client-server applications. The development of this open standard started in 2015. This specification was licensed under OWFa 1.0 in 2017. Copyright and trademark was transferred to the GraphQL Foundation in 2019. GraphQL has evolved and may continue to evolve in future editions of this specification. GraphQL... -
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Datalog Educational System
Deductive Database with Datalog, SQL, RA, TRC, DRC
The Datalog Educational System (DES) is a deductive database with Datalog, SQL, Relational Algebra, Tuple Relational Calculus and Domain Relational Calculus as query languages developed mainly for education. It can be used from most common Prolog interpreters over any supported OS and from portable executables (Windows, Linux and MacOS). -
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goqu
SQL builder and query library for golang
...Scanning of rows to struct[s] or primitive value[s]. While goqu may support the scanning of rows into structs it is not intended to be used as an ORM if you are looking for common ORM features like associations, or hooks I would recommend looking at some of the great ORM libraries. The test suite requires a postgres, mysql and sqlserver databases. -
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Common Resource Grep - crgrep
Common Resource Grep
CRGREP searches for matching text in databases, various document formats, archives and other difficult to access resources. A command line tool for name and content text matching in database tables, plain files, MS Office documents, PDF, archives, MP3 audio, image meta-data, scanned documents, maven dependencies and web resources. CRGREP will search resources within resources of any arbitrary combination or depth, so text within a document within a zip archive, and so on. Here you... -
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Bibliophile is a loose grouping of independent OS or GPL bibliographic systems and aims at promoting discussion, standards and the development of common utilities.
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pgloader
Migrate to PostgreSQL in a single command
pgloader is a data migration tool designed to load data into PostgreSQL from various sources. It automates the process of migrating databases, handling schema transformations and data type conversions. pgloader supports high-speed data loading using PostgreSQL's COPY command and provides detailed logs for monitoring the migration process. -
22
SnappyData
Memory optimized analytics database, based on Apache Spark
...By fusing an in-memory hybrid database inside Apache Spark, it provides analytic query processing, mutability/transactions, access to virtually all big data sources and stream processing all in one unified cluster. One common use case for SnappyData is to provide analytics at interactive speeds over large volumes of data with minimal or no pre-processing of the dataset. For instance, there is no need to often pre-aggregate/reduce or generate cubes over your large data sets for ad-hoc visual analytics. This is made possible by smartly managing data in memory, dynamically generating code using vectorization optimizations, and maximizing the potential of modern multi-core CPUs. ... -
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SQLCheck
Automatically identify anti-patterns in SQL queries
sqlcheck automatically detects common SQL anti-patterns. Such anti-patterns often slow down queries. Addressing them will, therefore, help accelerate queries. Storing a list of IDs as a VARCHAR/TEXT column can cause performance and data integrity problems. Querying against such a column would require using pattern-matching expressions. It is awkward and costly to join a comma-separated list to matching rows. -
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OpenTSDB
A scalable, distributed time series database
OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase. OpenTSDB was written to address a common need: store, index and serve metrics collected from computer systems (network gear, operating systems, applications) at a large scale, and make this data easily accessible and graphable. Store and serve massive amounts of time series data without losing granularity. Generate graphs from the GUI, pull from the HTTP API, choose an open source front-end. ... -
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KBEngine
A MMOG engine of server
...The server-side low-level framework is written in C++, and the game logic layer uses Python (supports hot-fixing). Developers do not need to repeatedly implement the underlying technologies common to some game servers, and instead can focus their efforts on the game development level, to quickly build various multiplayer games. Supports large numbers of users interacting in real-time. Supports regular automatic backups and manual backups. Linux support (x86/x64): Ubuntu, Debian, CentOS, Redhat. Others not tested. Supports all versions of Windows, but Windows is only recommended for debugging.
