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Description
Nightwatch.js offers a user-friendly, comprehensive End-to-End testing framework specifically designed for web applications and websites, leveraging Node.js for its functionality. It operates using the W3C WebDriver API to control browsers and execute commands and assertions on DOM elements efficiently. The framework boasts a straightforward yet robust syntax that allows developers to quickly create tests utilizing JavaScript (Node.js) along with CSS or Xpath selectors, while also providing support for TypeScript. With an integrated command-line test runner, Nightwatch.js can execute tests either in a sequential manner or in parallel, complete with features for retries and implicit waits. Additionally, it facilitates the organization of test suites through grouping and tagging capabilities. Nightwatch.js also automates the management of Selenium or WebDriver services, such as ChromeDriver, GeckoDriver, Edge, and Safari, running them in a separate child process for enhanced performance. Furthermore, it includes a fluent Page Object Model support, which simplifies the structuring of elements and sections, ensuring that both CSS and Xpath selectors are accommodated seamlessly. This combination of features makes Nightwatch.js a versatile choice for developers looking to implement efficient testing strategies in their projects.
Description
Symflower revolutionizes the software development landscape by merging static, dynamic, and symbolic analyses with Large Language Models (LLMs). This innovative fusion capitalizes on the accuracy of deterministic analyses while harnessing the imaginative capabilities of LLMs, leading to enhanced quality and expedited software creation. The platform plays a crucial role in determining the most appropriate LLM for particular projects by rigorously assessing various models against practical scenarios, which helps ensure they fit specific environments, workflows, and needs. To tackle prevalent challenges associated with LLMs, Symflower employs automatic pre-and post-processing techniques that bolster code quality and enhance functionality. By supplying relevant context through Retrieval-Augmented Generation (RAG), it minimizes the risk of hallucinations and boosts the overall effectiveness of LLMs. Ongoing benchmarking guarantees that different use cases remain robust and aligned with the most recent models. Furthermore, Symflower streamlines both fine-tuning and the curation of training data, providing comprehensive reports that detail these processes. This thorough approach empowers developers to make informed decisions and enhances overall productivity in software projects.
API Access
Has API
API Access
Has API
Integrations
BrowserStack
CircleCI
Claude Haiku 3
Cohere
DeepSeek
GPT-4o
Gemini Flash
LambdaTest
Le Chat
Meta AI
Integrations
BrowserStack
CircleCI
Claude Haiku 3
Cohere
DeepSeek
GPT-4o
Gemini Flash
LambdaTest
Le Chat
Meta AI
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Nightwatch.js
Website
nightwatchjs.org
Vendor Details
Company Name
Symflower
Founded
2018
Country
Austria
Website
symflower.com
Product Features
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing
Product Features
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing