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Foxit delivers a robust set of cloud-native APIs that enable organizations to automate and modernize document-driven workflows at scale. Built on flexible REST architecture, these APIs allow developers to seamlessly create, convert, extract, sign, and display documents within their own applications—improving efficiency while reducing manual processes.
The Foxit PDF Services API handles large-scale PDF processing, including conversion, extraction, optimization, and redaction. The Document Generation API streamlines the production of personalized PDFs and DOCX files using dynamic templates and live business data. The Foxit eSign API integrates secure, legally binding eSignature workflows with audit tracking and compliance capabilities. The PDF Embed API provides customizable in-app document viewing with support for annotations, forms, and secure user access.
Combined, Foxit APIs give enterprises a secure and scalable platform for digital document automation and workflow transformation.
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NaviPlan® is built upon the industry's most accurate calculation engine for financial planning, enabling firms to tailor their offerings to a wide range of clients, from those seeking simple goals-based assessments to those requiring intricate cash flow analyses. Whether addressing straightforward goals or crafting complex retirement income plans and estate strategies, NaviPlan provides financial advisors with the tools necessary to effectively assist any client who enters their office. It harnesses the power of precise calculations across countless scenarios, encompassing business planning, stock options, insurance advice, in-depth tax evaluation, estate planning, cash flow management, budgeting, Monte Carlo simulations, and retirement strategies. The tax planning software from NaviPlan, built on this top-tier calculation engine, supplies advisors with an array of comprehensive tax tools, including projections for both federal and state taxes, ensuring they can meet the diverse needs of their clientele. This versatility allows financial professionals to enhance their service offerings significantly, making NaviPlan an indispensable resource in the financial advisory landscape.
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Galen Framework
Testing layout has always been seen as a challenging endeavor. The Galen Framework provides a straightforward approach by allowing users to verify the positioning of elements in relation to one another on a webpage. With its unique syntax and detailed rules, you can articulate virtually any layout concept you envision. Galen Framework integrates seamlessly with Selenium Grid, enabling you to execute tests in cloud environments such as TestMu AI, Sauce Labs, or BrowserStack, which facilitates the testing of responsive websites across various mobile devices. Additionally, Galen supports the execution of multiple tests simultaneously, significantly enhancing efficiency. Built with a focus on responsiveness, Galen makes it simple to configure tests for different browser dimensions. It operates by launching a browser, adjusting its size to the specified dimensions, and subsequently assessing the page based on the given criteria. By utilizing the Galen Specs Language, you can effectively describe intricate layouts that accommodate various screen sizes and browser types. Not only is it user-friendly to write in, but it is also easily comprehensible for those who may not be well-versed in the language, making it accessible for a broader audience. This combination of features ensures that both developers and testers can efficiently collaborate on layout testing.
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MockK
Mocking serves as an effective method to enhance the readability and maintainability of code during testing. In a series of three articles, I aim to explore the foundational concepts, features, and unique aspects of the MockK library. This innovative open-source library, available on GitHub, is dedicated to simplifying the mocking process in Kotlin. When it comes to property injection, the library first attempts to align properties by their names, followed by matching them based on class or superclass hierarchies. For further customization, users can refer to the lookupType parameter. Notably, property injection continues to function even when private visibility is enforced. Additionally, when selecting constructors for injection, the library prioritizes those with the highest number of arguments, proceeding to those with fewer. This thoughtful design enhances the user experience and flexibility in testing scenarios.
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