General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
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.
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.
PyLucid is a Open Source web content management system written in Python using the Django Framework. fully customizable output, expandable with plugins, i18n, L10n, Revision controled, support many database engines, WSGI conform and many more...
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, ..
A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
To create a framework to extract Web data and store in local RDBMS, to generate assessment reports on quality of the data being extract, and to publish the quality reports on the Web.
SnapLogic is an Open Source Data Integration framework that combines the power of state-of-the-art dynamic programming languages with standard Web interfaces to solve today's most pressing problems in data integration.
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
The Flamenco search and browse interface framework uses hierarchical faceted metadata to allow users to both refine and expand queries, while maintaining a consistent representation of a collection and seamlessly integrating keyword queries.
The Warp Framework is an application framework built with Python. It features intelligent property and object management based solely on meta-data.
Currently Zope is supported, with room for extending it towards GTK / SQL / etc. based applications.