Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Test your software product anywhere in the world
Get feedback from real people across 190+ countries with the devices, environments, and payment instruments you need for your perfect test.
Global App Testing is a managed pool of freelancers used by Google, Meta, Microsoft, and other world-beating software companies.
... it generates Python code and leaves the engine mechanics to its scripting engine. This enables it to:
* be very flexible
* be truly multi-platform
* draw from all the features available to the language and its sprawling ecosystem
* partake in that ecosystem as a library.
It has a strong focus on ease of use and low maintenance. Anyone should be able to get started with minimal outside(consultants) help and quickly get the system working.
Note : Its sibling projects, QAL (https://sf.net/p/qal)
High performance workflow with strong support for parallel tasks
The Workflow Execution Engine (WEE) is a domain specific language created by the University of Vienna in Austria. The primary goals of the language are to provide a simple, lightweight, and powerful alternative to existing workflow specifications.
This project contains an implementation of this language using the Erlang programminglanguage.
Please see the project Wiki for more detailed information.