Search Results for "open" - Page 8
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Showing 181 open source projects for "open"
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Auth0 for AI Agents now in GAConnect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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grenadilla is a lab resource reservation system. It handles booking machines in a lab or server room. grenadilla is written in python, and leverages django.
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FTF (for Flexible Testing Framework) is a modular framework for testing, both automatic and manual, and quality assurance. FTF initial development has been done in the EDOS project, to support Linux distributions testing.
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Performance and load testing framework. We aim to create a testing tool for web applications that can simulate large numbers of concurrent users without mucking around with threads, and thus allow us to perform rate-based testing.
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Jungletest is an system for automated testing of OpenOffice.org against a large set of documents. Currently, tests determine whether OOo will crash or hang when loading, scrolling through, or exporting the document.
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G-P - Global EOR SolutionWith G-P's industry-leading Employer of Record (EOR) and Contractor solutions, you can hire, onboard and manage teams in 180+ countries — quickly and compliantly — without setting up entities.
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Testerman
A TTCN-3-inspired testing environment in Python
Testerman is an attempt to produce a TTCN-3 inspired test automation system without the strict typing model of the TTCN-3 test control notation that can be too heavy to be practical with non-stricly defined protocols. This is achieved by bringing TTCN-3 primitives and concepts to the Python programming language. It provides a complete environment to design, manage, execute and analyze automated tests, and can be used as a platform to develop test simulators (drivers and stubs) and...
