Business Software for YAML - Page 4

​AsyncAPI is an open-source initiative that seeks to improve the current state of Event-Driven Architecture (EDA). Our long-term goal is to make working with EDAs as easy as working with REST APIs. That goes from documentation to code generation, from discovery to event management, and beyond. The AsyncAPI Specification defines a standard, protocol-agnostic interface that describes message-based or event-driven APIs. The AsyncAPI document allows people or machines communicating with one another to understand the capabilities of an event-driven API without requiring access to the source code, documentation, or inspecting the network traffic. It allows you to define your API structures and formats, including channels the end user can subscribe to and the message formats they receive. You can develop, validate, and convert the AsyncAPI document to the latest version or preview your AsyncAPI document in a more readable way using the AsyncAPI Studio.

doteval is an AI-assisted evaluation workspace that simplifies the creation of high-signal evaluations, alignment of LLM judges, and definition of rewards for reinforcement learning, all within a single platform. It offers a Cursor-like experience to edit evaluations-as-code against a YAML schema, enabling users to version evaluations across checkpoints, replace manual effort with AI-generated diffs, and compare evaluation runs on tight execution loops to align them with proprietary data. doteval supports the specification of fine-grained rubrics and aligned graders, facilitating rapid iteration and high-quality evaluation datasets. Users can confidently determine model upgrades or prompt improvements and export specifications for reinforcement learning training. It is designed to accelerate the evaluation and reward creation process by 10 to 100 times, making it a valuable tool for frontier AI teams benchmarking complex model tasks.

Azure DevOps Labs is a free, community-driven collection of self-paced, hands-on tutorials designed to teach every aspect of the Azure DevOps toolchain and related DevOps practices. From configuring Agile planning with Azure Boards and version control in Azure Repos to defining build and release pipelines as code with YAML, enabling CI/CD in Azure Pipelines, managing packages in Azure Artifacts, and orchestrating tests with Azure Test Plans, each lab provides step-by-step exercises and sample code repositories. You can spin up ready-made projects using the Azure DevOps Demo Generator, explore end-to-end scenarios like deploying Docker-based web applications, integrating Terraform for infrastructure-as-code, scanning for security vulnerabilities, monitoring performance with Application Insights, and automating database changes with Redgate. Prerequisites include an Azure DevOps organization and an Azure subscription, but no prior experience is required.

Posting is an open source terminal-based API client designed to help developers build, test, and manage HTTP requests directly from the command line through a fast, keyboard-centric interface. It functions as a modern alternative to tools like Postman or Insomnia, but instead of a graphical interface, it runs as a text-based UI (TUI), allowing efficient workflows locally, over SSH, or inside remote environments and containers. It enables users to create and organize API requests into collections stored as simple, readable YAML files, making them easy to version control and share across projects. It includes features such as autocompletion, syntax highlighting, command palette access, and “jump mode” navigation to quickly move through the interface, along with support for importing and exporting cURL commands and integrating with editors like Vim for editing request bodies.

Gemini 3.5 Pro is Google’s anticipated next-generation Pro model in the Gemini 3.5 series, designed for advanced reasoning, coding, multimodal understanding, and agentic workflows. It is expected to build on Google’s Gemini 3 family with stronger performance for complex tasks that require planning, context handling, tool use, and deep problem solving. The model is aimed at users who need more power than faster Flash models for demanding development, research, automation, and enterprise AI use cases. Gemini 3.5 Pro is expected to support sophisticated workflows across text, code, files, multimodal inputs, and connected tools. Developers and organizations will likely use it through Google’s AI platforms for building assistants, agents, coding tools, analysis systems, and productivity applications. As an upcoming Pro-tier model, Gemini 3.5 Pro is positioned for high-value workloads where accuracy, reasoning quality, and advanced task execution matter more than maximum speed.

Gemini 3.5 Flash Cyber is a specialized cyber-focused model built on Gemini 3.5 Flash and fine-tuned to find, validate, and fix cybersecurity vulnerabilities efficiently at scale. It is designed for defensive security workflows where organizations need to identify critical weaknesses faster and generate reliable patches before those issues can be exploited. Flash’s combination of performance and efficiency makes it a strong foundation for scanning code, reasoning about security flaws, validating whether findings are real, and proposing targeted remediations across large software environments. Within CodeMender, multiple Gemini 3.5 Flash Cyber agents work together and combine their findings into a single report, helping the system investigate vulnerabilities from different angles and improve the quality of the final result. This coordinated agent setup delivers competitive frontier performance on CyberGym, a benchmark for evaluating cybersecurity capabilities.

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.

Your data lives in multiple excel files, ad platforms, and SaaS apps – they never agree and it’s impossible to make sense of. Your team wastes 30+ hrs a week combing through data across multiple instances without arriving at any insights you can trust. Zenlytic is the first enterprise-grade BI tool designed for emerging commerce brands like yours. We help you understand your data so you can acquire more efficiently, improve churn, and power growth. Any BI tool can tell you churn increased by 5% last month. Only Zenlytic can tell you why. Our tech quickly identifies the friction points in your user journeys, the promotions that aren’t converting and the acquisition channels that yield low LTV/CAC scores. When you know what’s working, and what’s not, all you have to do is act. Business intelligence tools have always been built for technical users who understand SQL. Not anymore. Our powerful natural language interface empowers everybody to be data-driven.

Open-source progressive delivery platform for managing cloud environments. It comes with dashboards to help visualize environments and observe them. Easy to read YAML format to define entire environments in a declarative way. Define entire environments using the declarative format. It enables organizations to define entire environments in a declarative way, Provision them, detect and reconcile drift, and teardown environments when no longer needed. It also comes with dashboards to help visualize environments and observe them. Environment as Code (EaC) is an abstraction over cloud-native tools that provides a declarative way of defining an entire environment. It has a control plane that manages the state of the environment, including resource dependencies, and drift detection and reconciliation. CloudKnit is an open-source progressive delivery platform for managing cloud environments. We currently support easy to use YAML format for the environment definition.