Pypher - Python Cypher Querybuilder

  •        65

Pypher is a tiny library that focuses on building Cypher queries by constructing pure Python objects. Pypher is pretty simple and has a small interface. Pypher tries to replicate building a Cypher query by utilizing all of Python's magic methods behind the scenes.

https://github.com/emehrkay/Pypher

Tags
Implementation
License
Platform

   




Related Projects

agensgraph - AgensGraph, a transactional graph database based on PostgreSQL

  •    C

AgensGraph is a new generation multi-model graph database for the modern complex data environment. AgensGraph is a multi-model database, which supports the relational and graph data model at the same time that enables developers to integrate the legacy relational data model and the flexible graph data model in one database. AgensGraph supports ANSI-SQL and openCypher (http://www.opencypher.org). SQL queries and Cypher queries can be integrated into a single query in AgensGraph. AgensGraph is based on the powerful PostgreSQL RDBMS, and is very robust, fully-featured and ready for enterprise use. AgensGraph is optimized for handling complex connected graph data and provides plenty of powerful database features essential to the enterprise database environment including ACID transactions, multi-version concurrency control, stored procedure, triggers, constraints, sophisticated monitoring and a flexible data model (JSON). Moreover, AgensGraph leverages the rich eco-systems of PostgreSQL and can be extended with many outstanding external modules, like PostGIS.

querybuilder - SQL query builder, written in c#, helps you build complex queries easily, supports SqlServer, MySql, PostgreSql and Firebird

  •    CSharp

SqlKata Query Builder is a powerful Sql Query Builder written in C#. It's secure and framework agnostic. Inspired by the top Query Builders available, like Laravel Query Builder, and Knex.

bodybuilder - An elasticsearch query body builder :muscle:

  •    Javascript

An elasticsearch query body builder. Easily build complex queries for elasticsearch with a simple, predictable api. Check out the API reference documentation.

vue-query-builder - A UI component for building complex queries with nested conditionals.

  •    Vue

Vue Query Builder is a user interface that makes it easy for your users to create queries of any kind. It's useful if you need an interface for generating reports, filtering data, and more.


jinjasql - Simplify creation and maintenance of complex SQL queries by using Jinja based template language

  •    Python

JinjaSQL is a template language for SQL statements and scripts. Since it's based in Jinja2, you have all the power it offers - conditional statements, macros, looping constructs, blocks, inheritance, and many more. JinjaSQL doesn't actually execute the query - it only prepares the query and the bind parameters. You can execute the query using any database engine / driver you are working with.

neo4j-graphql - GraphQL bindings for Neo4j, generates and runs Cypher

  •    Kotlin

This readme assumes you are somewhat familiar with GraphQL and minimally with Cypher. Based on your GraphQL schema, it translates GraphQL Queries and Mutations into Cypher statements and executes them on Neo4j.

reindexer - Embeddable, in-memory, document-oriented database with a high-level Query builder interface

  •    C++

Reindexer is an embeddable, in-memory, document-oriented database with a high-level Query builder interface. Reindexer's goal is to provide fast search with complex queries. We at Restream weren't happy with Elasticsearch and created Reindexer as a more performant alternative.

elastic-builder - A Node.js implementation of the elasticsearch Query DSL :construction_worker:

  •    Javascript

A Node.js implementation of the Elasticsearch DSL for use with the official elasticsearch javascript client with builder syntax. Check out the API reference documentation.

Diesel - A safe, extensible ORM and Query Builder for Rust

  •    Rust

Diesel is the most productive way to interact with databases in Rust because of its safe and composable abstractions over queries. Diesel offers a high level query builder and lets you think about your problems in Rust, not SQL. Its focus on zero-cost abstractions allows Diesel to run your query and load your data even faster than C. Unlike Active Record and other ORMs, Diesel is designed to be abstracted over. Diesel enables you to write reusable code and think in terms of your problem domain and not SQL.

pypika - PyPika is a SQL query builder with a pythonic syntax that doesn't limit the expressiveness of SQL

  •    Python

PyPika is a Python API for building SQL queries. The motivation behind PyPika is to provide a simple interface for building SQL queries without limiting the flexibility of handwritten SQL. Designed with data analysis in mind, PyPika leverages the builder design pattern to construct queries to avoid messy string formatting and concatenation. It is also easily extended to take full advantage of specific features of SQL database vendors. PyPika supports python 2.7 and 3.3+. It may also work on pypy, cython, and jython, but is not being tested for these versions.

jQuery-QueryBuilder - jQuery plugin offering an interface to create complex queries

  •    Javascript

jQuery plugin offering an simple interface to create complex queries. jQuery-QueryBuilder is available on jsDelivr.

knex - A SQL query builder that is flexible, portable, and fun to use!

  •    Javascript

Knex.js is a "batteries included" SQL query builder for Postgres, MSSQL, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Cypher

  •    C++

Cypher is an encryption program that uses the AES (Rijndael) algorithm to encrypt and decrypt files. You can use Cypher to protect sensitive data from unwanted access.

SharePoint CAML Query Helper for 2007, 2010, and 2013

  •    

Use SharePoint Object Model or Web Services to build and test CAML Queries. Examine list fields (names, types) and views, export data, build c# code on the fly.

laravel-query-builder - Easily build Eloquent queries from API requests

  •    PHP

This package allows you to filter, sort and include eloquent relations based on a request. The QueryBuilder used in this package extends Laravel's default Eloquent builder. This means all your favorite methods and macros are still available. Query parameter names follow the JSON API specification as closely as possible. Have a look at the usage section below for advanced examples and features.

Sql Query Modelling Language

  •    

This project library creates simple Sql queries.

Infobright - The Database for Analytics

  •    C++

Infobright combines a columnar database with our Knowledge Grid architecture to deliver a self-managing, self-tuning database optimized for analytics. Infobright eliminates the need to create indexes, partition data, or do any manual tuning to achieve fast response for queries and reports.

css-element-queries - CSS-Element-Queries Polyfill

  •    Javascript

Element Queries is a polyfill adding support for element based media-queries to all new browsers (incl. IE7+). It allows not only to define media-queries based on window-size but also adds 'media-queries' functionality depending on element (any selector supported) size while not causing performance lags due to event based implementation. It's a proof-of-concept event-based CSS element dimension query with valid CSS selector syntax.

quepy - A python framework to transform natural language questions to queries in a database query language

  •    Python

Quepy is a python framework to transform natural language questions to queries in a database query language. It can be easily customized to different kinds of questions in natural language and database queries. So, with little coding you can build your own system for natural language access to your database. Currently Quepy provides support for Sparql and MQL query languages. We plan to extended it to other database query languages.