Search Results for "natural language processing"
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Showing 39 open source projects for "natural language processing"
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Lesan
New way to create web server and NoSQL data model
Lesan is a multilingual text processing and translation library designed for natural language processing (NLP) applications. It provides tools for text normalization, tokenization, and translation across multiple languages. -
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Kangaroo
Kangaroo is an AI-powered SQL client and admin tool for popular dbs
Kangaroo is an AI-powered SQL client designed to enhance database interaction by integrating large language model capabilities into query workflows. It allows users to write, analyze, and optimize SQL queries using natural language assistance, making database operations more accessible and efficient. The tool is intended for developers, analysts, and data professionals who want to simplify complex query generation and debugging processes. -
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Memgraph
Open-source graph database, tuned for dynamic analytics environments
A high-performance, in-memory graph database designed for real-time analytics and complex network data processing. -
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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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SQLAlchemy
The Database Toolkit for Python
SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. SQLAlchemy provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language. An industrial strength ORM, built from the core on the identity map, unit of work, and data mapper patterns. These patterns allow the transparent persistence... -
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KuzuDB
Embeddable property graph database management system
KuzuDB is a high-performance graph database optimized for analytical queries, built from the ground up with a columnar storage engine. It is designed to efficiently process large-scale graph workloads, making it ideal for data science, machine learning, and knowledge graph applications. -
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Chat2DB
AI-driven database tool and SQL client
...Connect to all your data sources, and instantly generate optimal SQL for fast lightning information. If you don't know SQL well, you can get instant information without writing SQL. Generate high-performance SQL for your complicated queries using natural language, as well as correcting errors and getting AI suggestions to optimize the performance of SQL queries. Developers can write complex SQL queries quickly and accurately with the help of the AI SQL editor, saving time and improving development efficiency. Just enter the names of the tables and columns, and we will automatically configure the type, password, and comment, saving you 90% of the time. ... -
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MongoDB PHP Library
The Official MongoDB PHP library
...It provides object-oriented classes for databases, collections, queries, and operations, so PHP developers can compose CRUD and aggregation pipelines without writing low-level protocol code. Built on top of the underlying MongoDB PHP extension, the library handles serialization, connection pooling, and error handling in a way that feels natural in idiomatic PHP. It supports rich query expressions, bulk writes, change streams, transactions, and GridFS, making it suitable for everything from simple content apps to complex data processing services. The project also includes helpers for working with BSON types such as ObjectId, UTC datetime, and decimals, which helps bridge the gap between native PHP types and MongoDB’s storage model. -
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TDengine
Open-source time-series database with high-performance and scalability
...TDengine’s native distributed architecture powers out-of-the-box scalability and high availability. Nodes can be added through simple configuration to achieve greater data processing power. In addition, this feature is open source. TDengine uses SQL as the query language, thereby reducing learning and migration costs, while adding SQL extensions to handle time-series data better, and supporting convenient and flexible schemaless data ingestion. -
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IndraDB
A graph database written in rust
...In particular, IndraDB emphasizes simplicity of implementation and query semantics, and is similarly designed with the assumption that it may be representing a graph large enough that full graph processing is not possible. IndraDB departs from TAO (and most graph databases) in its support for properties. IndraDB offers a variety ways to work with it: as a server with cross-language support, as a rust library, and via CLI. What follows are a few examples of each use case. -
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AlaSQL
JavaScript SQL database for browser and Node.js for relational tables
AlaSQL.js - JavaScript SQL database for browser and Node.js. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, or Excel. We focus on speed by taking advantage of the dynamic nature of JavaScript when building up queries. Real-world solutions demand flexibility regarding where data comes from and where it is to be stored. We focus on flexibility by making sure you can import/export and query directly on data... -
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odaba
ODABA is an terminology-oriented database management system and develo
ODABA is an terminology-oriented database management system (TODBMS) on a high conceptual level. It provides a number of enhanced features based on natural language analysis. Terminology orientation allows designing user oriented data models. Enhanced event model and Active Data Link technology support rapid development of GUI applications. Several development, documentation, test and analyzing tools are provided in order to support developers and administrators. .NET interface and a powerful object-orjented script language (OSI) improve development efficiency. -
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AccessChat
Chat with your MS AccessChat database using AccessChat
AccessChat is a AI assistant that lets you chat with your MS access database. Open your database that may consist of multiple tables and query them with natural language and get answers. -
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ArangoDB-Community/pyArango
Python Driver for ArangoDB with built-in validation
PyArango is a Python driver for ArangoDB, a multi-model NoSQL database. It provides a Pythonic way to interact with ArangoDB, allowing developers to manage collections, execute AQL queries, and integrate ArangoDB's document, graph, and key-value storage models into Python applications. -
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DB Explorer
The modern AI‑first database client for developers DBAs and analyst
DB Explorer is a free, cross-platform database query tool and schema explorer built for developers, DBAs, and data analysts. It provides a clean graphical interface for connecting to multiple database systems, writing and executing SQL, exploring schemas, monitoring database health, and generating SQL queries using AI — all from a single application. Supported Databases: PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite, Amazon DynamoDB, and any JDBC-compatible database. -
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ZeroMQ
ZeroMQ core engine in C++, implements ZMTP/3.1
...You can connect sockets N-to-N with patterns like fan-out, pub-sub, task distribution, and request-reply. It's fast enough to be the fabric for clustered products. Its asynchronous I/O model gives you scalable multicore applications, built as asynchronous message-processing tasks. It has a score of language APIs and runs on most operating systems. Libzmq is mainly written in C++98 with some optional C++11-fragments. For configuration either autotools or CMake is employed. For Linux users, pre-built binary packages are available for most distributions. Note that DRAFT APIs can change at any time without warning, pick a STABLE build to avoid having them enabled. -
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Cetus
Cetus is a high performance middleware that provides routing
...Multi-process lock-free improves operating efficiency. Supports transparent backend connection pooling. Support SQL read-write separation. Support data sub-database. Support distributed transaction processing. Support insert batch operations. Support for conditional distinct operations. Enhanced SQL route parsing and injection. -
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FeatureBase
A crazy fast analytical database, built on bitmaps
...FeatureBase is SOC 2 Type II compliant, and includes features like table-level access control, and query and admin auditing. Built-in SQL support plus our own native query language, PQL. Automatic decentralized sharding, and more. -
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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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Textacular
Textacular exposes full text search capabilities from PostgreSQL
Textacular is a full-text search extension for ActiveRecord models in Ruby on Rails, built on top of PostgreSQL's native full-text search features. It allows developers to perform natural language searches across multiple columns with minimal configuration, providing a powerful and efficient alternative to third-party search services. Textacular integrates seamlessly with Rails queries and scopes for a smooth developer experience. -
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WikiSQL
A large annotated semantic parsing corpus for developing NL interfaces
A large crowd-sourced dataset for developing natural language interfaces for relational databases. WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. -
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Mondrian is an OLAP (online analytical processing) engine written in Java. It reads from JDBC data sources, aggregates data in a memory cache, and implements the MDX language and the olap4j and XML/A APIs.
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totaljs/eshop
Eshop + Content Management System (CMS) written in Node.js / Total.js
Total.js eShop is an open-source eCommerce platform built with the Total.js framework. It provides a lightweight, modular, and customizable solution for building online stores. Designed for developers who need a flexible eCommerce backend, it offers essential shopping functionalities such as product management, order processing, and payment integrations. -
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VersionPress
Git-based version control for WordPress. Whoa!
...Its key strength is that it version-controls not just files but also the database. VersionPress automatically creates Git commits for both file and database changes, in natural language. Plugins break, people make mistakes; sometimes, you just want that good old Undo button. Git took the pain out of file merging; VersionPress does the same for WP database. You can push to GitHub, your colleagues pull and make the site fully functional in seconds. MySQL is a cache. VersionPress can store hundreds of full site snapshots to just a few megabytes. ... -
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DBvolution
Java library to remove Object/Relation Impedance
...Simple declaration of a DB table: @DBTableName("mytable") public class MyTable extends DBRow { @DBColumn("numeric_code") @DBForeignKey(Code.class) private DBNumber numericCode = new DBNumber(); @DBColumn("uid_mytable") @DBPrimaryKey @DBAutoIncrement private DBNumber uidMyTable = new DBNumber(); } Easy Gets: List<MyTable> myRows = myDB.get(new MyTable()); MyTable row = myDB.getDBTable(new MyTable()).getByPrimaryKey(61176904); Natural and Outer Joins and Criteria: CarCo carCo = new CarCo(); carCo.name.isLiterally("GM"); List<DBQueryRow> results = myDB.get(carCo, new Marque()); dbQuery.addOptional(new CarModel()); Easy debugging: query.getSQLForQuery(); Simple processing: db.print(query.getAllRows()); List<Marque> marques = query.getAll
