Search Results for "objects"

...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 of objects using a declarative configuration system. Domain models can be constructed and manipulated naturally, and changes are synchronized with the current transaction automatically. A relationally-oriented query system, exposing the full range of SQL's capabilities explicitly, including joins, subqueries, correlation, and most everything else, in terms of the object model. ...

SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy.

...You can use the search_movie method of the access object to search for movies with a given (or similar) title. Similarly, you can search for people and companies using the search_person and the search_company methods. Movie, person, and company objects have id attributes which -when fetched through the IMDb web server- store the IMDb id of the object. If you know the IMDb id of a movie, you can use the get_movie method to retrieve its data. It’s possible to retrieve the list of top 250 and bottom 100 movies. As on the IMDb site, each TV series and also each of a TV series’ episodes is treated as a regular title, just like a movie. ...

Welcome to the project page for pyDaSSQLiteMan (Python Data and SQLite Manager). This application is a Python Tkinter application designed to enable easy SQLite database file manipulation, and an easy method to run SQL styled queries on CSV files. If you're not downloading the pre-compiled executable you will need Python to run this app. You can download it from http://www.python.org/ . I'd recommend something after version 3. Testing has been Windows based. SQLite is a free database...

...It supports relational databases including PostgreSQL, MySQL, SQLite, Oracle, Microsoft SQL Server, and Amazon Redshift through SQLAlchemy. Query results are exposed as friendly Record objects whose fields can be accessed by attribute, key, or numeric index. Queries support safe parameterization, SQL files, transactions, and bulk operations. Result collections can be converted into dictionaries or exported through Tablib to formats such as CSV, JSON, Excel, HTML, YAML, and Pandas DataFrames. A command-line utility allows SQL queries and exports to be performed outside Python code. ...

...Arctic supports serialization of a number of datatypes for storage in the mongo document model. Serializes a number of data types eg. Pandas DataFrames, Numpy arrays, Python objects via pickling etc. so you don't have to handle different datatypes manually. Uses LZ4 compression by default on the client side to get big savings on network / disk. Allows you to version different stages of an object and snapshot the state (In some ways similar to git), and allows you to freely experiment and then just revert back the snapshot. ...

sqlitedict is a lightweight Python wrapper that provides a persistent dictionary backed by SQLite. Applications interact with stored data using familiar dictionary operations such as indexing, keys, values, items, and length. Values can contain any picklable Python object instead of being restricted to basic SQL types. Multiple independent dictionary tables can live inside the same SQLite database file. The library supports access to one connection from multiple threads while internally...

NoDB is a simple, lightweight, file-based database for Python applications that enables quick and easy data storage without requiring a separate database server.

littletable is a lightweight in-memory data manager of collections of Python objects, providing ORM-like access for querying and joining data using object attributes as pseudo-columns.

This is intended as an open-source, multi-platform link diagramming tool for intelligence analysis. The goal is to be able to store objects using any database abstraction or in XML. This project needs much wheel reinvention, so assistance is welcome.

DataFinder is a data management client developed in Python that primarily targets the management of scientific technical data. The system is able to handle large amounts of data and can be easily integrated in existing working environments.

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.

Cadopy is a personal archive system. Objects can be imported (files, bookmarks, email, csv, ...) or created directly via the web interface. The object schema can be adapted continuously. Search is via OQL or fulltext. Uses Python, CherryPy and MySQL.

Crow - Computational Representation Of Whatever. A platform for the integration and mining of complex and distributed data. Represents cross-linked semantic web documents as a network of software objects and offers easy ways to filter, and sort them.

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...

PDO: Python Database Objects. Database Module for Python based upon DB-API 2.0: featuring column access by name and high performance. Similar in API to ADO, JDBC.

Adds convenience methods for Python's DB-API2 connection objects.

PyTablet is a self organizing DB for semi-structured data. PyTablet behave like a huge persistable dictionary where keys are ID and values are dictionary-like objects that can link each other and contain simple values.

``Modeling'': an Object-Relational Bridge for python. Please note: this project is not maintained anymore. Make your objects persistent in a RDBMS, just by designing how your classes map to an RDBMS schema, without having to write a single line of SQL!

dbo is a database object relational mapper (ORM) written entirely in Python. Tables are represented using a straightforward python class and row instances are encapsulated as python instances. Joins, views, transactions, and more.

Our goal is to develop a SWING busines framework that takes care of display and persistence of objects in data-driven applications.

Momoko is a framework for developing distributed, multi-user, network-aware applications. It includes facilities for storing objects in a tree structure, a shell for manipulating the object database, orthogonal persistence, scripting support, and a trans

Language-independent interfaces like DOM, SAX and XSLT are not particularly "Pythonic". Several tools are contained in this "XML2Python Interfaces" project that provide more natural ways of translating between XML and Python objects.

Paos is a server for Python objects and event notifications, and comes with a client module for network communication and object cache management. Paos is often used in workflow systems and similar applications.

The ZODBData Framework provides a Cocoa API to handle persistent objects stored in a Zope Object Database (ZODB).