Business Software for Git - Page 12

About Provar Provar pairs intuitive testing solutions, including Provar Test Automation and Provar Test Manager, with world-class service to help teams capitalize on their Salesforce investment. Its comprehensive suite of testing products is designed to improve release agility, drive down system defects and advance innovation, meeting people at every stage in their journey — from the individual manual tester to comprehensive QA teams with automated workflows.

Rally is an enterprise-class platform that’s purpose-built for scaling agile development practices. Power your organization with enterprise agility. In order to make faster and smarter decisions, your development work needs to align to your company's most important business objectives. Align daily work to strategy and leverage data to steer your business towards an outcomes-oriented culture. Rally serves as a central hub for teams to collaboratively plan, prioritize and track work on a synchronized cadence. Teams can visualize their work in the form of lists, boards or timeline views, and more importantly—they can understand how their day-to-day work aligns to the greater goals of the business. Do you struggle to manage dependencies and risks across multiple teams or delivery groups? Rally provides comprehensive roll-ups of progress, dependencies, alignment and plan health—so teams and groups can make intentional decisions and stay ruthlessly focused on value.

Meet Agile development cycles while maintaining high-quality code. Use Jtest’s comprehensive set of Java testing tools to ensure defect-free coding through every stage of software development in the Java environment. Streamline Compliance With Security Standards. Ensure your Java code complies with industry security standards. Have compliance verification documentation automatically generated. Release Quality Software, Faster. Integrate Java testing tools to find defects faster and earlier. Save time and money by mitigating complicated and expensive problems down the line. Increase Your Return From Unit Testing. Achieve code coverage targets by creating a maintainable and optimized suite of JUnit tests. Get faster feedback from CI and within your IDE using smart test execution. Parasoft Jtest integrates tightly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback on your testing and compliance progress.

ConnectALL allows you to align digital initiatives and IT to the business outcomes you want to achieve by enabling you to capture, visualize, analyze, and optimize critical indicators of speed and quality in your software delivery value stream. ConnectALL allows you to automate the flow of critical product information across the value stream, helping you identify waste in tools, people and processes and improve cross-functional collaboration between teams. ConnectALL captures KPIs and metrics that drive speed and quality, enabling you to identify growth opportunities, reduce costs and understand competitive advantages to stay ahead in the market. Quickly identify roadblocks, missed releases, bottlenecks, and vulnerabilities in processes and evaluate constraints, while also tracing the flow of work. ConnectALL helps you identify what you can improve in your value stream before it’s too late with tool integration and interoperability.

Enterprise synthetic test data solutions. In order to generate test data that accurately reflects the structure of your application or database, it must be easy to model and maintain each test data project as changes to the data model occur throughout the lifecycle of the application. Maintain referential integrity of parent/child/sibling relationships across the data domains within an application database or across multiple databases used by multiple applications. Ensure the consistency and integrity of synthetic data attributes across applications, data sources and targets. For example, a customer name must always match the same customer ID across multiple transactions simulated by real-time synthetic data generation. Customers want to quickly and accurately create their data model as a test data project. GenRocket offers 10 methods for data model setup. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.

The Code Ocean Computational Workbench speeds usability, coding and data tool integration, and DevOps and lifecycle tasks by closing technology gaps with a highly intuitive, ready-to-use user experience. Ready-to-use RStudio, Jupyter, Shiny, Terminal, and Git. Choice of popular languages. Access to any size of data and storage type. Configure and generate Docker environments. One-click access to AWS compute resources. Using the Code Ocean Computational Workbench app panel researchers share results by generating and publishing easy-to-use, point-n-click, web analysis apps to teams of scientists without any IT, coding, or using the command line. Create and deploy interactive analysis. Used in standard web browsers. Easy to share and collaborate. Reuseable, easy to manage. Offering an easy-to-use application and repository researchers can quickly organize, publish, and secure project-based Compute Capsules, data assets, and research results.

Building marketplace, online school or membership site? Find tools, integrations, workflows and guides to jumpstart your idea. Browse apps and tools, find alternatives, compare by feature, and leave feedback. Automating routine processes? Find all integrations from Zapier, Integromat, Automateio and other automation platforms in one place. Compare features and price. Explore guides and tutorials from community and vendors. Contribute with your know-how. Leverage the openness of the nocode community. Сreate your profile, pick up your favorite tools, share your stack.

Developing AI solutions requires an engineering approach that is resilient, open and repeatable to ensure necessary quality and agility is achieved. Until today these efforts are missing the foundation to address these challenges amid a sea of point tools and fast changing models and data. Collaborative developer platform for automating development and control of AI applications across multiple personas. Derive hyper-detailed customer profiles from enterprise data to predict behaviors in real-time and at scale. Generate AI-powered models designed to continuously learn and achieve clearly defined business outcomes. Enables organizations to explain and prove compliance with applicable rules and regulations. CognitiveScale's Cortex AI Platform addresses enterprise AI use cases through modular platform offerings. Our customers consume and leverage its capabilities as microservices within their enterprise AI initiatives.

Data Version Control (DVC) is an open source version control system tailored for data science and machine learning projects. It offers a Git-like experience to organize data, models, and experiments, enabling users to manage and version images, audio, video, and text files in storage, and to structure their machine learning modeling process into a reproducible workflow. DVC integrates seamlessly with existing software engineering tools, allowing teams to define any aspect of their machine learning projects, data and model versions, pipelines, and experiments, in human-readable metafiles. This approach facilitates the use of best practices and established engineering toolsets, reducing the gap between data science and software engineering. By leveraging Git, DVC enables versioning and sharing of entire machine learning projects, including source code, configurations, parameters, metrics, data assets, and processes, by committing DVC metafiles as placeholders.

Reclaim control of your data pipelines and deliver value instantly, without errors. The DataKitchen™ DataOps platform automates and coordinates all the people, tools, and environments in your entire data analytics organization – everything from orchestration, testing, and monitoring to development and deployment. You’ve already got the tools you need. Our platform automatically orchestrates your end-to-end multi-tool, multi-environment pipelines – from data access to value delivery. Catch embarrassing and costly errors before they reach the end-user by adding any number of automated tests at every node in your development and production pipelines. Spin-up repeatable work environments in minutes to enable teams to make changes and experiment – without breaking production. Fearlessly deploy new features into production with the push of a button. Free your teams from tedious, manual work that impedes innovation.