Search Results for "access"
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Showing 46 open source projects for "access"
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Bracket
Selfhosted tournament system
Bracket is an open-source tool that tracks and manages data access across your PostgreSQL database. It provides visibility into which parts of your codebase are accessing which tables and columns, enabling data governance, security auditing, and architectural insights. Bracket is particularly helpful for growing teams needing better observability in complex applications. -
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DictDataBase
A python NoSQL dictionary database, with concurrent access and ACID
DictDataBase (DictDB) is a lightweight, Python-based in-memory database that uses dictionaries as its primary data structure. It provides a simple and efficient way to store, retrieve, and manipulate data without requiring an external database server. DictDB is useful for applications needing fast lookups, temporary storage, or embedded database functionalities. -
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Enferno
Modern Flask framework optimized for AI-assisted development
Enferno is a framework for building developer-first cloud backends using PostgreSQL and TypeScript. It offers primitives for defining data models, APIs, and access rules directly in code, enabling quick iteration and deployment. Enferno is designed to accelerate SaaS and internal tool development by combining the benefits of traditional backends with developer ergonomics. -
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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 of objects using a declarative configuration system. Domain models can be constructed and manipulated naturally, and changes are synchronized with the current transaction automatically. ... -
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Advanced Alchemy
A carefully crafted, thoroughly tested, optimized companion library
advanced-alchemy is an opinionated ORM toolkit built on SQLAlchemy and designed for integration with the Litestar web framework. It simplifies common ORM patterns such as CRUD, pagination, and async support while providing extensibility and best practices out of the box. It’s designed to accelerate backend development for modern Python web apps. -
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Finance Database
This is a database of 300.000+ symbols containing Equities, ETFs, etc.
As a private investor, the sheer amount of information that can be found on the internet is rather daunting. Trying to understand what type of companies or ETFs are available is incredibly challenging with there being millions of companies and derivatives available on the market. Sure, the most traded companies and ETFs can quickly be found simply because they are known to the public (for example, Microsoft, Tesla, S&P500 ETF or an All-World ETF). However, what else is out there is often... -
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SQL Explorer
Easily share data across your company via SQL queries
SQL Explorer aims to make the flow of data between people fast, simple, and confusion-free. It is a Django-based application that you can add to an existing Django site, or use as a standalone business intelligence tool. Quickly write and share SQL queries in a simple, usable SQL editor, preview the results in the browser, share links, download CSV, JSON, or Excel files (and even expose queries as API endpoints, if desired), and keep the information flowing! Comes with support for multiple... -
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Arctic TimeSeries and Tick store
High performance datastore for time series and tick data
Arctic is a timeseries/dataframe database that sits atop MongoDB. 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... -
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DiLu Converter
A powerful Import and Export tool between Excel and Database
DiLu Converter is a powerful Excel import and export tool that supports more than 10 databases such as MySQL, Oracle, SQL Server, PostgreSQL and so on. The supported file formats include xls, xlsx, xlsm, xlsb, csv, txt, xml, json, and dbf. Its native user interface brings users a comfortable experience of simplified Excel import and export, making Excel import and export easier than ever before. Whether you want one-click, batch, and personalized import and export, or want to use... -
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Cinemagoer
Python package useful to retrieve and manage the data of IMDb
Cinemagoer (previously known as IMDbPY) is a Python package for retrieving and managing the data of the IMDb movie database about movies and people. 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. ... -
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aiopg
aiopg is a library for accessing a PostgreSQL database
aiopg is an asynchronous PostgreSQL database driver for Python built on top of asyncio and psycopg2. It provides support for asynchronous query execution and connection pooling, enabling efficient, non-blocking database access in Python applications. aiopg is well-suited for web services and microservices that require concurrency without threads. -
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IntrospectDB
File System Relational / Object Oriented DBMS/CMS
Introspect is a File System oriented Database Management System And CMS built on UNIX as a Python and HTML webapp. For the latest version use the Bitbucket repository: https://bitbucket.org/mieszkowski/introspect/src/master/ -
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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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turniket
Registration passes at the turnstiles system
system is designed to control staff access to production databases, as well as taking into account their passage of time. -
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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.
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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. -
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JDFeditor
GUI application for editing database files.
The purpose is to be a cross-platform, quick and simple database manager, main goal is to provide developers with a tool to produce small to medium size databases efficiently. If you need a database at its simplest form, without any extra hassle of knowing how to access the produced library. Then JDFeditor is the right tool for you. JDFeditor is bundled with an easy-to-use Python library: jdf_lib. jdf_lib will quickly load the content of your database into a variable. All you need to know is the filename! Check out the MANUAL.txt for more information. -
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huhamhire-hosts
hosts for Internet Freedom
Since the governments of some countries are using the blocking the internet access to several websites and web service providers which includes some world famous sites like Google, YouTube, twitter, Facebook, and Wikipedia etc., we designed this tiny utility in order to help people getting through the Internet blockade. Hosts Setup Utility provides basic tools to manage the hosts file on current operating systems. -
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Py Linked Table Manager
This application is to relink/update/refresh MS Access tables.
Py Linked Table Manager will help you relink/update/refresh MS Access tables and also supports UNC paths. This application only works on Access 97-2003 and does not work on Access newer than 2003. Supports (mdb, .mda, .mde, .mdw). This application is developed on Python using Tkinter. -
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The goal of this project is to make possible to access Progress database from any external program that can use sockets. The server (broker and agents) are written in Progress 4GL and made use of sockets capabilities of Progress V9.
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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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essbasepy
MaxL Python Module Essbase.py
The MaxL Python Module, Essbase.py, provides access to Oracle Essbase multi-dimensional databases using MaxL for Python programs. It is similar in function and usage to the Oracle Essbase Perl module Essbase.pm. The Essbase Python module interfaces with Oracle Essbase using a Python ctypes module wrapper for the primary MaxL dll (essmaxl.dll or essmaxlu.dll). The ctypes module is standard in Python 2.5+. -
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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.
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ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.
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This module provides access to MS SQL Servers from Python scripts. Tested on Linux, *BSD, Solaris, Mac OS X and Windows.
