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Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use.
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Custom auth drains 25% of dev time and risks 62% more breaches, stalling enterprise deals. Frontegg platform delivers a simple login box, seamless authentication (SSO, MFA, passwordless), robust multi-tenancy, and a customizable Admin Portal. Integrate fast with the React SDK, meet compliance needs, and focus on innovation.
Firebird RDBMS offers ANSI SQL features & runs on Linux, Windows & several Unix platforms. Features excellent concurrency & performance & powerful stored procedure & trigger language.
More information and downloads at https://firebirdsql.org/, issue tracker is https://github.com/FirebirdSQL/firebird/issues
Deductive Database with Datalog, SQL, RA, TRC, DRC
The Datalog Educational System (DES) is a deductive database with Datalog, SQL, Relational Algebra, Tuple Relational Calculus and Domain Relational Calculus as query languages developed mainly for education. It can be used from most common Prolog interpreters over any supported OS and from portable executables (Windows, Linux and MacOS).
The goal of PyTables is to enable the end user to efficiently and easily manipulate large datasets (both homogenous, i.e. arrays, and heterogenous, i.e. tables) on a persistent, hierarchical way.
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MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Provide an LDAP client API for Python, C wrapper module around OpenLDAP 2.x with an object-oriented API, several additional modules for processing LDIF, LDAP URLs and LDAP schema information
FlatDB.Net is a .Net port, of the Python module FlatDB, written in Boo. It is a flat-file database library that supports insert, update, delete and simple searching.
Porcupine is an open-sourcePython based web application server that provides front-end and back-end revolutionary technologies for building modern data-centric Web 2.0 applications.
A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining
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OpenVPN's products provide scalable, secure remote access — giving complete freedom to your employees to work outside the office while securely accessing SaaS, the internet, and company resources.
Simple Python-based PostgreSQL replicator using a master plpython trigger, signals, sequences, and a python client script See http://pgfoundry.org/projects/pyreplica/ for latest news and file releases
KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
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.
XSDB XML is to DATA as HTML is to DOCUMENT. Publish and combine data as easily as HTML format and web browsers publish and view documents. Implementations in Python, javascript, java, C#/.NET.
TORCH is a web enabled electronic health record (EHR) application. TORCH is usable in single practitioner offices and scalable up to multi-site practices.
Group-CCS development Components, templates, tools, accessories, tutorial, modules, translations, documentation, codes, scripts, everything that can improve the work of who uses the powerful tool of development, CCS - CodeCharge Studio.
Healthcare Xchange Protocol for interoperative communications. Data exchange/transfer, platform independent,XML-RPC, HL7, SOAP, EDIFACT, simple,easy, authenticated, secure, transparent, no geo-restrictions, open sourced, peer reviewed, collab development
Embedding the meaning of the datas in the storage can improve the consistency of the stored information and simplify the its exchange: the semantic structure is defined through a strong semantic typing of the data and the use of external dictionaries.