Business Software for Git - Page 11

The only auto-pilot agent that works with your unique software development workflow. Anycode AI converts your whole Legacy codebase to modern tech stacks up to 8X faster. Boost your coding speed tenfold with Anycode AI. Utilize AI for rapid, compliant coding and testing. Modernize swiftly with Anycode AI. Effortlessly handle legacy code and embrace updates for efficient applications. Upgrade seamlessly from outdated systems. Our platform refines old logic for a smooth transition to advanced tech.

Detecting potential vulnerabilities, aggregating, enriching, and prioritizing them, and taking rapid action is critical in today's world to enhance our resilience against cyber threats. This capability should also be continuous. Bizzy platform reinforces cyber security resilience through prioritization, automation, Big Data analytics, machine learning, and vulnerability management capabilities, enabling continuous, rapid, and precise actions. Today, in order to increase our resilience against cyber attacks, we are able to be informed quickly about the vulnerabilities, bringing them together, It is important that we have the ability to relate and take quick action. carries. This ability should also carry continuity. Bizzy platform with prioritization, automation, and Big Data analysis is continuous, fast, and accurate actionable vulnerability management features It contributes to increasing the security resilience.

The go-to market for your APIs. We are enabling companies with APIs to build POCs and integrations for their prospects in minutes. Proofs follows best practices across the whole software development cycle adjusted to your stack and workflow preferences. Proofs provides a preview URL instantly, along with a Docker image, while a tested and documented codebase is committed back to your repository seamlessly integrating with your CI/CD systems. Delivering an adequate volume of relevant demos and PoCs that convert quickly enough is a real challenge. Empower your team to focus on strategic projects, while Proofs deals with routine development in minutes. We run, test, document, and deploy it too. We’re moving at LLM speed, and sometimes faster. Proofs ingest your API, docs, and past code to learn. Our AI agents do it all, frontend, backend, branding updates, content mocks, and 3rd party integrations.

Cloud 66 gives you everything you need to build, deploy and grow your applications on any cloud, without the headache of the server stuff. Works with any programming language or framework you prefer. Natively builds, configures, and manages all major databases and components. Deploys to your account on these cloud providers or non-cloud servers. Connect your git repository to Cloud 66. We support all major Git providers including GitHub, GitLab, Bitbucket, and Azure DevOps. Your code can be in a mono repo or a multi-repo setup. All programming languages and frameworks are supported, either natively or via containers. Connect your cloud provider account to Cloud 66. All major cloud providers including AWS, DigitalOcean, Google Cloud, Azure, and Linode are supported. Cloud 66 will analyze your code to find out the components that are needed to run your application. Static site generators like Gatsby, Hugo, or Jekyll are supported.

DROPS is a release management tool designed to simplify, secure, and centralize the deployment of applications across data centers, hybrid, and multi-cloud infrastructures. It supports a wide range of platforms, integrates seamlessly with various CI/CD pipelines, and offers both agent-based and agentless operations. With features like full-stack release management, automated infrastructure provisioning, and 24/7 availability, DROPS aims to streamline deployment processes and ensure consistent, reliable delivery. The tool is flexible enough to manage both legacy and modern applications, catering to diverse enterprise needs. Select agent-based or agentless operation. No need for agent installation and management. DROPS adapts to your configuration and if agents are needed, they are provisioned automatically. Plan and organize your application deployment from the web console with no scripting needed. Ease collaboration between stakeholders and technical teams.

ModelOp is the leading AI governance software that helps enterprises safeguard all AI initiatives, including generative AI, Large Language Models (LLMs), in-house, third-party vendors, embedded systems, etc., without stifling innovation. Corporate boards and C‑suites are demanding the rapid adoption of generative AI but face financial, regulatory, security, privacy, ethical, and brand risks. Global, federal, state, and local-level governments are moving quickly to implement AI regulations and oversight, forcing enterprises to urgently prepare for and comply with rules designed to prevent AI from going wrong. Connect with AI Governance experts to stay informed about market trends, regulations, news, research, opinions, and insights to help you balance the risks and rewards of enterprise AI. ModelOp Center keeps organizations safe and gives peace of mind to all stakeholders. Streamline reporting, monitoring, and compliance adherence across the enterprise.

Azure Marketplace is a comprehensive online store that provides access to thousands of certified, ready-to-use software applications, services, and solutions from Microsoft and third-party vendors. It enables businesses to discover, purchase, and deploy software directly within the Azure cloud environment. The marketplace offers a wide range of products, including virtual machine images, AI and machine learning models, developer tools, security solutions, and industry-specific applications. With flexible pricing options like pay-as-you-go, free trials, and subscription models, Azure Marketplace simplifies the procurement process and centralizes billing through a single Azure invoice. It supports seamless integration with Azure services, enabling organizations to enhance their cloud infrastructure, streamline workflows, and accelerate digital transformation initiatives.

​Mammoth Cyber's Enterprise Browser is a Chromium-based solution designed to enhance secure remote access by integrating a policy engine directly within the browser. It offers organizations visibility and control over user interactions with internal applications, public cloud services, and SaaS platforms. By enforcing conditional access and implementing least privilege principles, the browser ensures that users access only the resources necessary for their roles, thereby reducing the risk of data breaches. Detailed audit logs of user activities support compliance and security monitoring. The Enterprise Browser integrates seamlessly with identity providers like Okta and Azure AD, automating role-based permissions and streamlining user onboarding. Its familiar interface minimizes the learning curve, promoting user adoption. Additionally, the browser facilitates secure developer access by supporting SSH, RDP, Git, Kubernetes, and database connections directly.

Knapsack is a digital production platform that connects design and code into a real-time system of record, enabling enterprise teams to build, govern, and deliver digital products at scale. It offers dynamic documentation that automatically updates when code changes occur, ensuring that documentation remains current and reducing maintenance overhead. Knapsack's design tokens and theming capabilities allow for the connection of brand decisions to style implementation in product UIs, ensuring a cohesive brand experience across portfolios. Knapsack's component and pattern management provides a birds-eye view of components across design, code, and documentation, ensuring consistency and alignment as systems scale. Its prototyping and composition features enable teams to use production-ready components to prototype and share UIs, allowing for exploration, validation, and testing with code that ships. Knapsack also offers permissions and controls to meet the complex workflow.

Galgos AI is your AI DevOps Assistant for cloud infrastructure, enabling you to generate compliant, secure infrastructure-as-code from simple natural-language prompts. It integrates AI-guided DevOps best practices to automatically produce Terraform, CloudFormation, and Kubernetes manifests that adhere to organizational compliance policies and security standards. By requesting resources in plain English—such as network configurations, identity and access management settings, encryption, logging, and monitoring- you accelerate cloud provisioning while benefiting from built-in modules for cost optimization and industry-standard frameworks (CIS, NIST, PCI DSS). It keeps its policy library up to date, performs real-time validation with remediation suggestions, and offers drift detection with auto-generated fixes. Generated code can be previewed, versioned, and integrated into existing CI/CD pipelines via API or CLI, with support for GitHub Actions, Jenkins and HashiCorp Vault.

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.