Search Results for "python documentation"
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Showing 25 open source projects for "python documentation"
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PyMongo
PyMongo - the Official MongoDB Python driver
The PyMongo distribution contains tools for interacting with MongoDB database from Python. The bson package is an implementation of the BSON format for Python. The pymongo package is a native Python driver for MongoDB. The gridfs package is a gridfs implementation on top of pymongo. -
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Full Stack FastAPI and PostgreSQL
Full stack, modern web application generator
Generate a backend and frontend stack using Python, including interactive API documentation. Production ready Python web server using Uvicorn and Gunicorn. Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs. Minimize code duplication. -
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SQLiteStudio
A free, open source, multi-platform SQLite database manager
A free, open-source, multi-platform SQLite database manager written in C++, with use of Qt framework. It's free of charge for everybody, for any purpose (including commercial). It's safe, as anyone can review the source code. The SQL Editor window assists users with SQL syntax hints & highlighting, provides pretty-print code formatter, and marks syntax errors. You can Ctrl+click on the table mentioned in the SQL query to open that table (or index, or trigger, or view). Currently supported... -
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MongoEngine
A Python Object-Document-Mapper for working with MongoDB
MongoEngine is a Python Object-Document Mapper for working with MongoDB. -
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ERAlchemy
Entity Relation Diagrams generation tool
ERAlchemy is a tool that generates Entity-Relationship (ER) diagrams from databases or SQLAlchemy models and vice versa. It’s useful for database documentation, reverse engineering, and understanding complex schemas. ERAlchemy can export diagrams in formats like Graphviz and Mermaid, making it easy to include in reports or markdown files. -
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TinyDB
Document oriented database optimized for you
TinyDB is a lightweight document oriented database optimized for your happiness :) It's written in pure Python and has no external dependencies. The target are small apps that would be blown away by a SQL-DB or an external database server. The current source code has 1800 lines of code (with about 40% documentation) and 1600 lines tests. Like MongoDB, you can store any document (represented as dict) in TinyDB. TinyDB is designed to be simple and fun to use by providing a simple and clean API. ... -
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athenaSQL
SQL builder for AWS Athena, inspired by sparkSQL
athenaSQL is Athena SQL query builder, inspired by sparkSQL. It borrow some sparkSQL’s concept sparkSQL. It was initially designed to eliminate the need for hard-coding SQL queries as strings within Python scripts and as an alternative to any bespoke SQL query templating. However, it offers the flexibility to be used in various ways as needed. -
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PikaPython
An ultra-lightweight Python interpreter that runs with only 4KB of RAM
An ultra-lightweight Python interpreter that runs with only 4KB of RAM, and zero dependencies. It is ready to use out of the box without any configuration required and easy to extend with C. Similar projects: MicroPython, JerryScript. -
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gjots2
hierarchical note jotter - organise your ideas, notes, facts in a tree
2023/04/04: MIGRATED TO https://gitlab.com/wef/gjots2 gjots2 is a fairly simple jotter (outline processor) application for your desktop. See http://bhepple.freeshell.org/gjots -
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...Oriented towards information databases, its main task is searching information quickly through lists and inverted data. Originally written in php and designed for MySQL, the version 2 is a full rewrite in Python, now oriented to SQLite. MySQL support may be included, but not fully implemented yet. Maggy2 is in beta state and the documentation is missing. But the program is quite fully functional.
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Python DB-API 2.0 module for ADO
Use Microsoft ADO to read/write most data bases.
Python module that makes it easy to use Microsoft ADO for connecting with databases and other data sources. For CPython users, this module is included as part of pywin32 (https://github.com/mhammond/pywin32), and continued support will take place there. This fork will be maintained for Iron Python users. * Documentation at http://adodbapi.sourceforge.net/quick_reference.pdf or quick_reference.odb in the .zip -
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Cosmos DB Spark
Apache Spark Connector for Azure Cosmos DB
Azure Cosmos DB Spark is the official connector for Azure CosmosDB and Apache Spark. The connector allows you to easily read to and write from Azure Cosmos DB via Apache Spark DataFrames in Python and Scala. It also allows you to easily create a lambda architecture for batch-processing, stream-processing, and a serving layer while being globally replicated and minimizing the latency involved in working with big data. -
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MySQL Export Laravel Migrations
A MySQL Workbench plugin which exports a Model to Laravel 5 Migrations
A MySQL Workbench plugin that allows for exporting a model to Laravel 5 migrations that follow PSR-2 coding standards. When exported, each migration is generated and saved in it's own, properly named, migration file. -
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HyperSQL is like a doxygen plus javadoc for SQL, hypermapping SQL views, packages, procedures, and functions to HTML source code listings and showing all code locations where these are used.
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SQL DB Semantic Browser
One click access to all data relevant to the selected object (row).
DB Semantic Browser (DBSB) is designed for the software developers. Applications access data located in multiple tables and it takes some effort to get all information relevant to the particular object. Developers have more interesting things to do than navigating through multiple tables, determining keys and selecting rows. DBSB uses DB meta-data, discovers relationships between tables and shows rows related to the selected one. See Wiki for documentation. -
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SYDI is a project aimed to help system administrators in getting started with their Network Documentation. It can document Windows Servers, MS SQL Servers, Exchange Organizations and Linux systems.
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pyMantis is a data-management system for (systems) biology build on the web2py framework. It features: tree based file explorer, relational db table wizzard with automated creation of user interfaces, internal and external access management, wiki, ..
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OLAP aggregation engine with MDX support, web interface (slice & dice) and relational database backend. See "Documentation" for more. Presentation: http://cubulus.sourceforge.net/. See online demo courtesy of Webfaction, http://alxtoth.webfactional.com
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Serialization + persistance : in a few lines of code, compress and annotate Python objects into SQLite; then later retrieve them chronologically by keywords without any SQL. Most useful "standard" module for a database to store schema-less data.
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Goal of oraschemadoc is to provide detailed documentation for all objects in schema covering Oracle specific features. Result of execution of oraschemadoc is set of static xhtml files. There are more features under development...
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A Graphic User Interface with texteditor and category browser for interaction with the free encyclopedia Wikipedia
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Entity-relation (ERW) database modeling tool for both windows and *nix/*nux. PyDBDesigner intends to be similar to Power Designer or Erwin. Both physical and logical models are supported. Main features are database modeling, SQL generation, documentation
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Tools for documentation and public access to social science studies : web-based interface for study documentation and XML generation under the DDI format, python script to import some tags of XML files to a MySQL database.
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SchemaDoc is a XML-based markup language for documenting XML schemas. The work products include both the vocabulary and a set of tools for combining it with the schema source (e.g. a DTD) to produce documentation in HTML, XML DocBook, LaTeX, etc.
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The project provides utilities that generate javadoc-style HTML documentation from a database schema plus optional metadata containing textual descriptions of schema elements. Initial support for Oracle and Postgres is provided. Other DBs will follow.
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