Search Results for "pl/sql" - Page 10
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Showing 5288 open source projects for "pl/sql"
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With Advisory Lock
Advisory locking for ActiveRecord
with_advisory_lock is a Ruby gem that provides a simple and thread-safe way to use PostgreSQL advisory locks within Ruby applications. It allows developers to wrap critical code sections with database-level locks to prevent race conditions across concurrent processes or threads. It’s especially useful in distributed systems, background job processing, or scheduled tasks where application-level mutexes aren't sufficient. -
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Apache AGE
Graph database optimized for fast analysis
Apache AGE (A Graph Extension) is a PostgreSQL extension that adds support for graph database functionality using the openCypher query language. AGE allows users to store and query graph-structured data alongside traditional relational data in a single database. Built for performance and scalability, it brings the power of graph queries to the robustness of PostgreSQL, making it suitable for use cases like social networks, recommendation systems, and fraud detection. -
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Pony ORM
Pony Object Relational Mapper
Pony ORM is a Python ORM that enables developers to write database queries using generator expressions and Pythonic syntax, making code more readable and intuitive. It automatically translates Python expressions into SQL and supports multiple databases including SQLite, MySQL, PostgreSQL, and Oracle. With an emphasis on simplicity and maintainability, Pony ORM is suitable for both small projects and complex applications. -
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Liger Kernel
Efficient Triton Kernels for LLM Training
Liger Kernel is a unified kernel developed by LinkedIn to streamline data science and machine learning workflows across different languages and tools. It provides a consistent interface for running code in various languages (such as Python, R, SQL) within a single Jupyter-like environment, enhancing productivity and collaboration for data scientists working in mixed-language projects. -
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Medoo
The lightweight PHP database framework to accelerate the development
...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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Apache Spark
A unified analytics engine for large-scale data processing
Apache Spark is a unified engine for large-scale data processing, offering APIs for batch jobs, streaming, machine learning, and graph computation. It builds on resilient distributed datasets (RDDs) and the newer DataFrame/Dataset abstractions to provide fault-tolerant, in-memory computation across clusters. Spark’s execution engine handles scheduling, shuffles, caching, and data locality so users can focus on transformations rather than infrastructure plumbing. With Spark Streaming... -
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EaseProbe
A simple, standalone, and lightweight tool
...Connect to a given port using TLS and (optionally) validate for revoked or expired certificates. Run an SSH command on a remote host and check the CPU, Memory, and Disk usage. MySQL. Connect to a MySQL server and run the SHOW STATUS SQL. Redis. Connect to a Redis server and run the PING command. Memcache. Connect to a Memcache server and run the version command or validate a given key/value pair. MongoDB. Connect to a MongoDB server and perform a ping. Kafka. Connect to a Kafka server and perform a list of all topics. -
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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. -
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BigQuery Emulator
BigQuery emulator server implemented in Go
...It uses SQLite as its underlying storage engine, with options for in-memory or persistent file-based databases depending on the use case. The system also implements many features of Google Standard SQL, including hundreds of functions and advanced query constructs, enabling realistic query testing. -
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Deepnote
Deepnote is a drop-in replacement for Jupyter
...Built on top of the Jupyter kernel ecosystem, it maintains compatibility with existing notebook workflows while introducing additional features focused on collaboration and automation. The system supports programming languages such as Python, R, and SQL and allows users to execute and analyze data directly within interactive notebooks. Deepnote emphasizes team-based data science by enabling real-time collaboration similar to shared document editors, allowing multiple users to work simultaneously on the same notebook environment. -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
...Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments. -
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CSV Lint
CSV Lint plug-in for Notepad++ for syntax highlighting
CSV Lint plug-in for Notepad++ for syntax highlighting, csv validation, automatic column and datatype detecting fixed width datasets, change datetime format, decimal separator, sort data, count unique values, convert to xml, json, sql etc. A plugin for data cleaning and working with messy data files. Use CSV Lint for metadata discovery, technical data validation, and reformatting on tabular data files. It is not meant to be a replacement for spreadsheet programs like Excel or SPSS, but rather it's a quality control tool to examine, verify or polish up a dataset before further processing. -
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ElasticMQ
In-memory message queue with an Amazon SQS-compatible interface
ElasticMQ is a lightweight, fully asynchronous, in-memory message queue implementation written in Scala / Akka. It provides a feature-compatible Amazon SQS REST API interface for testing, local development, or embedded usage. It can persist queues or run purely in-memory and also supports Docker deployment and a web UI. -
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atk4/data
Data Access PHP Framework for SQL & high-latency databases
...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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Bytebase
The GitHub/GitLab for database DevSecOps
The GitHub/GitLab for database DevSecOps. World's most advanced database DevSecOps solution for Developer, Security, DBA and Platform Engineering teams. -
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Memobase
Fast backend for long-term AI user memory via structured profiles
...The system focuses on three principal performance metrics: high search performance, reduced large language model (LLM) costs through batch processing techniques, and low latency with minimal SQL operations. Memobase supports integration with existing LLM workflows via APIs and SDKs (including Python, Node, and Go), making it easy to adopt within diverse application stacks. -
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SQLite compiled to JavaScript
A javascript library to run SQLite on the web
sql.js is a javascript SQL database. It allows you to create a relational database and query it entirely in the browser. You can try it in this online demo. It uses a virtual database file stored in memory, and thus doesn't persist the changes made to the database. However, it allows you to import any existing sqlite file, and to export the created database as a JavaScript typed array. sql.js uses emscripten to compile SQLite to webassembly (or to javascript code for compatibility with older browsers). ... -
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Fast Paginate for Laravel
A fast implementation of offset/limit pagination for Laravel.
This is a fast limit/offset pagination macro for Laravel. It can be used in place of the standard paginate methods. This package uses a SQL method similar to a "deferred join" to achieve this speedup. A deferred join is a technique that defers access to requested columns until after the offset and limit have been applied. In our case we don't actually do a join, but rather a where in with a subquery. Using this technique we create a subquery that can be optimized with specific indexes for maximum speed and then use those results to fetch the full rows. -
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Beam
A type-safe, non-TH Haskell SQL library and ORM
Beam is a Haskell interface to relational databases. Beam uses the Haskell type system to verify that queries are type-safe before sending them to the database server. Queries are written in a straightforward, natural monadic syntax. Combinators are provided for all standard SQL92 features, and a significant subset of SQL99, SQL2003, and SQL2008 features. Beam is standards-compliant but not naive. We recognize that different database backends provide different guarantees, syntaxes, and... -
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Magic Framework
Generate a CRUD app wrapping your database in seconds
Magic is a no-code/low-code CRUD generator that allows you to generate CRUD apps 100% automatically. In addition, it is a complete open-source cloud platform and IDE, allowing you to create your own virtualized cloud on top of your own server, and/or other cloud systems, editing your code from your phone if required. Magic is professionally maintained by Aista. Below is a screenshot of an app built in 5 minutes using our no-code CRUD generator. Magic works by reading meta data from your... -
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AWS Secrets Manager JDBC Library
The AWS Secrets Manager JDBC Library for Java developers
The AWS Secrets Manager JDBC Library enables Java developers to easily connect to SQL databases using secrets stored in AWS Secrets Manager. We provide database drivers that intercept calls to real database drivers and swap out secret IDs for actual login credentials. This prevents hard-coding database credentials into your application code. This can be integrated into your app through a few configuration file changes. -
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SQLBoiler
Generate a Go ORM tailored to your database schema
SQLBoiler is a tool to generate a Go ORM tailored to your database schema. It is a "database-first" ORM as opposed to "code-first" (like gorm/gorp). That means you must first create your database schema. Please use something like sql-migrate or some other migration tool to manage this part of the database's life-cycle. While attempting to migrate a legacy Rails database, we realized how much ActiveRecord benefited us in terms of development velocity. Coming over to the Go database/sql package after using ActiveRecord feels extremely repetitive, super long-winded and down-right boring. ... -
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manticoresearch
Easy to use open source fast database for search
...Powerful and fast full-text searching which works fine for small and big datasets. Columnar storage support via the Manticore Columnar Library for bigger datasets (much bigger than can fit in RAM). SQL-first: Manticore's native syntax is SQL. It speaks SQL over HTTP and uses the MySQL protocol (you can use your preferred MySQL client). JSON over HTTP: to provide a more programmatic way to manage your data and schemas, Manticore provides a HTTP JSON protocol. Written fully in C++: starts fast, doesn't take much RAM, and low-level optimizations provide good performance. ... -
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IPBan
IPBan is a trusted, free security software to block hackers
...Upgrade to IPBan Pro today and get a discount. Auto-ban ip addresses by detecting failed logins from event viewer and/or log files. On Linux, SSH is watched by default. On Windows, RDP, OpenSSH, VNC, MySQL, SQL Server, Exchange, SmarterMail, and MailEnable are watched. More applications can easily be added via the config file. Highly configurable, many options to determine failed login count threshold, time to ban, etc. Make sure to check out the ipban.config file (formerly named DigitalRuby.IPBan.dll.config, see IPBanCore project) for configuration options, each option is documented with comments. ... -
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cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio
Cracking the Data Science Interview is an open educational repository that collects study materials, resources, and reference links for preparing for data science interviews. The project organizes content across many fundamental areas of data science, including statistics, probability, SQL, machine learning, and deep learning. It includes cheat sheets that summarize important technical concepts commonly discussed during technical interviews. The repository also provides links to recommended books, tutorials, practice platforms, and blog posts that help learners strengthen their theoretical and practical skills. In addition to conceptual study materials, the project includes interview question banks and case study prompts that simulate real hiring scenarios. ...
