Search Results for "data capture framework"
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Showing 10 open source projects for "data capture framework"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Koarse Grind (formerly Coarse Grind)
Test Automation framework intended for coarse-grained testing
Koarse Grind has been rewritten in Kotlin (hence the 'K'). It's new home is here: https://github.com/william-hood/koarse-grind-kotlin __________________________________ Test Automation framework for Kotlin/Java with an integrated web-based user interface. It is intended for larger-grained testing of an installed & configured product, rather than unit testing. -
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Swift
Selenium Hybrid Automation Framework with BDD tool Cucumber
Mastek has successfully developed a highly configurable Hybrid Automation framework: “Swift” using Selenium tool that offers quick turnaround for Automation Suite Implementation with support of Keyword & Data Driven framework approach. The Automation regression suite can be created or modified using tester friendly keywords for modules, screens, and verifications, thereby ensuring a more effective and efficient Test automation process and better ROI through the complete application life cycle. ... -
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TestMax
Frontend & Backend Automation Tool
TestMax is integrated Software Testing framework which can be used to test distributed system by developing rapid test cases using XML configuration in front and backend that talks to each other within the test framework. This tool can be used for Database, webservice, API, Junit, TestNg and Frontend including performance test. The main advantage of this TestMax architecture is separating test data configuration from test case run time environment. -
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jmint
jMINT - Java Mutation for Integration Testing
jMINT is a integration fault injection tool which identifies data exchanges across classes and inject faults along those path. It is primarily based on the idea of program analysis and code mutation. The cross boundary data exchanges are identified by performing data flow analysis using java byte code analysis and transformation framework-soot. Mutant injection is also done via the soot framework. jMINT tool can be used to measure the effectiveness of integration test suites. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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DATA Gen™
DATA Gen™ - Test Data Generator to generate realistic test data.
DATA Gen™ Test Data Generator offers facilities to automate the task of creating test data for new or existing data bases. It helps lower the programming effort required, while reducing manual test data generation errors and the ripple effect that they cause on production systems, users and maintenance. -
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Hermes - Selenium For Humans
(H)uman (R)eadable and (M)achine (E)xecutable (S)pecification
Hermes provides a powerful yet usable automation solution, making it the most popular Selenium framework in the world, with over 8,000 downloads. Create human readable, machine executable Selenese style tests in Excel. The world's first automation framework fully integrated with Selenium IDE, RC and GRID; yet built for humans. Be up and running using a feature rich Selenium RC framework in minutes. Hermes comes with advanced reporting, analysis, debugging and enterprise level Java... -
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iValidator is a Java framework for automation of scenario and integration tests in complex environments. Features: automatic testing, reusability of unit tests, separation of code and data, Eclipse Plug-In, ANT tasks, support of all testing levels ...
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TestOrrery is a Java framework used to create test data in unit tests. It drastically reduces the time needed to write input-intensive tests.
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Dynject is a lightweight, data transformation and validation framework. Dynject uses Java annotations and requires no configuration.
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QC4J is an automated, specification-based testing framework, based on QuickCheck for Haskell. It makes it easy to test referentially transparent code, by creating test data automatically through user-defined generators.
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