Search results for Without Code

PerfectForms is a web-based application development platform that enables both IT professionals and business users to create workflow applications without writing code.

FifthTry is a documentation tool that integrates with Github Pull Request, to ensure that no code goes live without updated documentation.

Give traders, quants, and compliance officers the tools to build and deploy their own monitoring and analysis systems without writing a single line of code.

PhoenixNAP's Bare Metal Cloud is an API-driven, single-tenant infrastructure platform that delivers dedicated physical servers with the flexibility and scalability of cloud services. Designed to meet the demands of modern DevOps workflows, it enables rapid provisioning and management of high-performance bare metal servers without the overhead of virtualization. This solution is ideal for organizations seeking to optimize performance, enhance security, and maintain full control over their computing resources. Key Features and Functionality: - Dedicated Resources: Provides 100% dedicated physical CPU, RAM, and storage, ensuring consistent performance without the "noisy neighbor" effect common in multi-tenant environments. - Automated Provisioning: Supports rapid server deployment and decommissioning through a robust API, CLI tools, and integrations with popular Infrastructure as Code (IaC tools like Terraform, Ansible, and Pulumi. - High-Speed Networking: Offers up to 50 Gbps network capacity with private networking options and includes free 20 Gbps DDoS protection, ensuring low-latency and secure connectivity. - Flexible Storage Options: Equipped with NVMe local storage for high IOPS performance and supports scalable S3-compatible Object Storage and Network File Storage solutions. - Kubernetes Integration: Facilitates one-click deployment of Kubernetes clusters using SUSE Rancher, streamlining container orchestration and management. - Next-Generation Hardware: Utilizes the latest Intel Xeon Scalable processors and GPU technologies, catering to compute-intensive workloads such as machine learning, big data analytics, and high-performance computing. Primary Value and Problem Solved: Bare Metal Cloud addresses the need for high-performance, scalable, and secure infrastructure without the complexities and limitations of traditional virtualization. By providing dedicated physical resources with cloud-like agility, it enables businesses to run demanding workloads efficiently, reduce operational costs, and accelerate time-to-market for applications. The platform's automation capabilities and integration with DevOps tools empower organizations to manage their infrastructure as code, enhancing operational efficiency and adaptability in dynamic IT environments.

illustria Inline Gateway provides superior protection by residing directly within the systems it safeguards, enabling us to not only inspect but also secure the environment effectively. The fine-grained policy mechanism allows us to create preemptive firewall rules, thereby mitigating the threats posed by malicious actors. Our novel approach to runtime protection involves the injection of an additional dependency within the code. This process, facilitated through code injection, enables real-time Continuous Integration and Continuous Delivery (CICD) processes, without the need for full product redeployment.

Breezy AI Search adds AI-powered search to any website with one snippet. It reads the meaning behind a visitor's question, including typos, slang and half-formed thoughts, and returns the right result in seconds. Visitors can ask in their own words, get a direct answer with its sources, and follow up in plain language. Breezy replies in whichever language the visitor asks in, without separate setup per language. It also reads the PDFs on your website, so a brochure, spec sheet or policy is found right alongside your pages, and each PDF result is clearly marked. Breezy crawls and indexes your site automatically and keeps it up to date. Site owners set the tone and rules for AI answers once, tune ranking without code, and see what visitors search for and where content gaps are. It works with WordPress, Webflow, Shopify, Squarespace, Google Tag Manager, documentation sites and custom stacks. Every signup starts with a 14-day free trial, no credit card required.

Potpie AI is an open-source platform that enables developers to create custom, task-oriented AI agents deeply integrated with their codebases. By transforming static code into dynamic knowledge graphs, Potpie agents perform engineering tasks such as debugging, testing, code reviews, and system design with high precision and context-awareness. This approach streamlines development workflows, enhances code quality, and reduces manual effort. Key Features and Functionality: - Context-Driven Agents: Potpie converts your codebase into a comprehensive knowledge graph, allowing agents to understand and interact with the code's structure and dependencies. - Pre-Built and Custom Agents: Access ready-to-use agents for tasks like debugging, integration testing, and codebase Q&A, or build custom agents tailored to specific engineering needs using simple prompts. - Multi-LLM Support: Integrate with multiple large language models, including OpenAI, Gemini, and Claude, to optimize performance and cost for various tasks. - Agentic Workflows: Automate complex engineering processes across the software development lifecycle, from generating test plans to executing tests and fixing detected issues autonomously. - Seamless Integration: Potpie agents fit effortlessly into existing workflows, with support for tools like VS Code and Slack, enhancing productivity without disrupting established processes. Primary Value and Problem Solved: Potpie AI addresses the inefficiencies of manual codebase navigation and task execution by automating complex engineering workflows with context-aware AI agents. By leveraging a deep understanding of your codebase, Potpie reduces human error, accelerates development cycles, and ensures that automated tasks align with project-specific standards and patterns. This solution is particularly valuable for teams managing large, evolving codebases, where onboarding, testing, and maintaining code quality can be challenging.

InviziPoll helps organizations collect honest employee feedback without sacrificing respondent anonymity. Unlike conventional survey tools that store answers on the server in readable form, InviziPoll encrypts every response in the respondent's browser using modern hybrid cryptography, including post-quantum algorithms, before transmission. The platform never decrypts poll responses server-side; workspace operators see only aggregate statistics, charts, and demographic cross-tabs, never per-person submissions, timestamps tied to individuals, or submission-order metadata. Teams use InviziPoll to run pulse surveys, engagement checks, and sensitive workplace topics where truthfulness depends on confidentiality. Authors build polls in a guided wizard with multiple question types, optional AI-assisted drafting within plan limits, folder organization for larger programs, and flexible distribution via access codes, named invites, or integrations such as Slack. Password-protected polls and anti-inference controls help reduce linkage risk as participation scales. InviziPoll is designed for security-conscious buyers: GDPR-minded data handling, cookieless marketing analytics, path-based workspace URLs on Business, SAML/OIDC single sign-on, SCIM provisioning, verified domains, and SIEM audit webhooks on higher tiers. Admin workspace keys use client-side encryption with optional server-assisted recovery for account access. That recovery path is separate from the respondent guarantee that answer bodies stay unreadable to InviziPoll. Pricing is published in USD per workspace: Pro from $49/month, Business from $199/month, and Enterprise via sales for advanced scale and controls. New workspaces receive a 14-day product trial before checkout. Product documentation and a public security overview are available on invizipoll.com for procurement and IT review cycles.

Quadric sets a vision for a next-generation data platform for the sole purpose of driving business digitally through dynamic data collection, workflow automation, and data analytics including Geo-spatial features. Our platform allows non-developers to rapidly build their customised app - in minutes rather than days - without code. The result is rapid time to value for customers, high fidelity data collection and reporting, and a data driven approach to process automation and performance optimisation for field workforce and in-house operation. In this way, Quadric by virtue of its open flexible standards and smart integration capabilities, floats above the competitions to keep uncertainties at bay for years to come.

Kata is a multipurpose WordPress theme by Webnus, built on Elementor, for creating almost any kind of website. It comes with 120+ ready-to-import website templates and hundreds of section templates, plus a Fast Mode setup wizard and a visual Styler for editing the design without code. Kata includes header, footer, blog and single-post builders, a demo importer, icon and font managers, and 100+ advanced Elementor widgets in the Pro version. A free version is available, and Kata Pro starts at $59/year for one website, including 1 year of updates and premium support. Kata pairs with ShopPress for building WooCommerce stores.

Adaptive Scheduler is an advanced job scheduling solution designed to efficiently manage and execute numerous adaptive learning tasks across large-scale computing clusters, ranging from 10,000 to over 100,000 cores. It seamlessly integrates with the Adaptive package, facilitating the parallel execution of `adaptive.Learner` instances using various backends such as `mpi4py.futures`, `ipyparallel`, `loky`, `concurrent.futures.ProcessPoolExecutor`, or `dask.distributed`. This scheduler is particularly adept at handling the challenges associated with high-core-count computations, ensuring optimal performance and resource utilization. Key Features and Functionality: - Scalability: Capable of efficiently managing computations on clusters exceeding 30,000 cores, addressing the limitations of traditional parallel computing tools that struggle with high core counts. - Adaptive Integration: Designed to work seamlessly with the Adaptive package, allowing for the execution of adaptive sampling algorithms that require real-time feedback and decision-making. - Fault Tolerance: Automatically handles job failures by rescheduling tasks, ensuring minimal data loss and continuous computation, even in the event of node crashes or evictions. - Minimal File System Load: Optimized to reduce the burden on the file system, enhancing overall system performance and reliability. - Automated Job Management: Eliminates the need for manual job script creation and submission by automating these processes, thereby reducing boilerplate code and potential errors. - Preservation of Computational State: Maintains Python kernel and variable states within jobs, allowing for consistent and uninterrupted computations without the need for reinitialization. - Computation Locality: Ensures that jobs continue to run independently, even if the central job manager fails, by maximizing computation locality and reducing inter-process communication overhead. Primary Value and Problem Solved: Adaptive Scheduler addresses the critical challenge of executing large-scale, adaptive computations that require real-time feedback and decision-making. Traditional parallel computing tools often falter under the demands of high-core-count environments due to centralized scheduling bottlenecks and communication overhead. By decentralizing job management and optimizing resource allocation, Adaptive Scheduler enables researchers and engineers to perform massive parallel computations efficiently. This capability is particularly valuable in fields such as quantum device simulations, where adaptive sampling algorithms necessitate dynamic and responsive computation strategies. By providing a robust, fault-tolerant, and scalable solution, Adaptive Scheduler empowers users to harness the full potential of modern supercomputing resources directly from a Jupyter notebook environment.

Kaarvi is a no-code, agentic AI data management platform designed to help organizations turn raw, fragmented, and unreliable data into trusted, production-ready data faster. By unifying data ingestion, profiling, quality remediation, governance, transformation, lineage, analytics, and flexible data serving in one platform, Kaarvi reduces the friction that typically slows teams down across the data lifecycle. Unlike traditional tools that focus on isolated pieces of the data stack, Kaarvi embeds AI-driven automation across every stage of the process. From discovering and profiling datasets to detecting quality issues, classifying sensitive information, generating synthetic test data, building ETL/ELT pipelines, tracing lineage, and publishing dashboards, Kaarvi helps teams move from manual, rule-based workflows to intelligent, agentic data operations. Kaarvi is built for data teams, analytics teams, governance teams, and business leaders who need faster access to trusted data without adding more tools, handoffs, or operational overhead. The platform enables users to explore, fix, transform, govern, and serve data through an intuitive no-code experience, while still giving technical teams the flexibility to use SQL, Python, APIs, pipeline templates, and advanced automation when needed. A standout capability of Kaarvi is its end-to-end agentic architecture. The platform assists users throughout the entire data journey, including data ingestion, data profiling and wrangling, data engineering and transformation, governance, lineage, dashboarding, and data serving. With AI-powered recommendations, automated issue detection, one-click remediation, rollback protection, natural language querying, and ML-driven pipeline creation, Kaarvi helps organizations reduce operational costs, improve data quality, and accelerate business decision-making. Kaarvi helps organizations manage the full data lifecycle from a single AI-native platform. Users can connect data sources, profile datasets, identify quality issues, detect anomalies, scan for PII, classify sensitive data, enforce governance policies, build ETL/ELT pipelines, trace lineage, create dashboards, and serve data through APIs or interactive experiences. The platform is designed to make complex data workflows simpler, faster, and more accessible. Business users can ask questions in plain English, analysts can explore and visualize datasets, data engineers can build pipelines visually or with code, and governance teams can monitor compliance, ownership, drift, and policy enforcement from one place.

Mobile Application Development Company NJ can develop an application that fits your business needs and goals. We use native programming to develop the mobile application. For the iPhone we use Swift and Android we use Java. 8+ years of experience as Mobile App Developer with Microsoft Certification and among the top 10% ASP.Net Developer in Upwork, I have developed wide range of IOS and Android Application for mobile phones and tablets using the native programming languages. I am located in Edison, NJ. So NJ and NYC client we can always do face to face meetings. I do programming using the Objective C, Swift, Java. For the mobile web services i used ASP.Net or PHP with Jason parsing. Majority of my applications are database driven. For the database i have used MS SQL, SQL Light, Mongo DB, MY SQL. I have developed wide varieties of mobile applications. Some of them required integration of in-App Purchase, Recurring Payment, PayPal, Stripe, Authorize.net and other allowed payment gateway. Our Services: IOS Application Development Android Application Development Ipad Application Development eCommerce Mobile App Mobile Web Service and APIs Web Based Application System Custom Software Development Why Freelance Mobile Application Developer NJ: Innovation and new ideas Brain Storming with Customer The determination of learning Dedication to work Our client interest is our topmost priority Maintain enduring relationships with clients Better quality results without any compromise Use advanced and the latest technologies Types of App we have developed so far: Social Networking App Life Style App Business App Financial App Auto Mobile Industry App Construction App Real Estate App Property Inspection App Online Radio and Music Taxi App Dating App Health Care App QR Code & Bar Code Reader Feel free to call us for free consultation and brainstorming.  Call us: 201-884-7338 or Reach us directly at 610-209-3937   Visit us: http://www.mobileapplicationdevelopmentcompanynyc.com/ for further information.

HCL Leap is a low-code development platform that enables users to create sophisticated web applications for data collection and process automation without writing code. Its intuitive drag-and-drop interface allows for rapid design, building, and deployment of applications, making it accessible to both technical and non-technical users. Key Features and Functionality: - No-Code Development: Empowers users to build enterprise-grade applications without specialized IT skills. - Dynamic Workflows: Facilitates the creation of workflows with role assignments that can be dynamically determined at runtime, enhancing process flexibility. - API Access: Each application includes a REST API, allowing for operations such as creating, reading, updating, and deleting records, with role-based access controls ensuring data security. - Mobile-Friendly Design: Applications are responsive and optimized for mobile devices, ensuring a seamless user experience across various platforms. - Integration Capabilities: Supports integration with various data sources, including SaaS services and databases, through HCL Link, facilitating real-time data synchronization. Primary Value and User Solutions: HCL Leap addresses the need for rapid application development by enabling business users to create and deploy applications up to 70% faster than traditional methods. This accelerates digital transformation initiatives, allowing organizations to streamline processes, enhance efficiency, and respond swiftly to changing business requirements. By reducing reliance on specialized IT resources, HCL Leap democratizes application development, empowering users across various departments to innovate and improve workflows.

Staris is an AI-powered application security validation platform that continuously discovers, proves, and remediates exploitable vulnerabilities in running applications — in hours, not weeks. Traditional security scanners generate thousands of potential vulnerabilities, forcing teams to rely on expensive, slow manual pentesting to determine which ones are actually exploitable. Staris replaces that bottleneck by combining SAST, DAST, and context-rich whitebox testing to validate real attack paths in your running applications, delivering zero false positives with proof of exploitability for every finding. Staris is purpose-built for application security leaders, DevSecOps teams, and engineering organizations that need to move fast without compromising security. The platform ingests your documentation, policies, and source code to understand your unique application context, then continuously tests for vulnerabilities that matter — not hypothetical risks. Key capabilities: Proves exploitable vulnerabilities with evidence, not just flags them Delivers results in ~4 hours vs. the ~40 hours a typical expert requires (40:1 efficiency) Closed-loop AI-driven remediation that fixes issues and verifies the fix Integrates into CI/CD pipelines for continuous security validation Zero false positives — every finding is proven exploitable Staris is ideal for organizations that are tired of triaging thousands of scanner alerts, waiting weeks for pentest results, or shipping code without knowing whether their applications are actually secure.

SmartStack is an automated service discovery and registration framework designed to simplify the management of service-oriented architectures . It transparently handles the creation, deletion, failure, and maintenance of machines running code within an organization, ensuring seamless service connectivity without manual intervention. Key Features and Functionality: - Service Registration and Discovery: SmartStack automates the process of registering services and discovering available services within a network, reducing the complexity of managing service endpoints. - Health Monitoring: It continuously monitors the health of services, ensuring that only healthy instances are available for communication, thereby enhancing system reliability. - Load Balancing: By integrating with HAProxy, SmartStack efficiently distributes traffic across service instances, optimizing resource utilization and performance. - Components: - Nerve: Performs health checks on local services and registers them with the service registry. - Synapse: Queries the service registry for healthy services and configures HAProxy accordingly. - Zookeeper: Acts as the central service registry, maintaining the state of all services. - HAProxy: Provides load balancing and proxying capabilities to manage service traffic. Primary Value and Problem Solved: SmartStack addresses the challenges associated with scaling web infrastructures by automating service discovery and registration. It eliminates the need for manual configuration and intervention when services are added, removed, or fail, thereby reducing operational overhead and minimizing downtime. By ensuring that services can dynamically discover and communicate with each other, SmartStack enables organizations to build and maintain robust, scalable, and resilient service-oriented architectures.

Atlas CMMS is a comprehensive Computerized Maintenance Management System designed to streamline and optimize maintenance operations across various industries. The platform operates under a dual licensing model, offering organizations three deployment options: cloud-hosted service with unlimited requesters and viewers, completely free self-hosted open-source deployment under GPL-3.0 license, and enterprise licensing with advanced features. Core functionality includes: Work Order Management: Creation, assignment, tracking, and historical analysis of both scheduled and unscheduled work orders, with automated generation capabilities and mobile access for field technicians. Preventive Maintenance Scheduling: Sophisticated scheduling features for time-based, usage-based, condition-based, and predictive maintenance strategies with automated alerts and notifications. Asset Tracking and Management: Detailed asset record keeping, hierarchy management, downtime monitoring, barcode/QR code scanning, and integration with location-based services. Inventory Control: Integrated inventory management with stock alerts, purchase order generation, and tracking of parts and warranty information. Analytics and Reporting: Comprehensive tools for work order compliance, cost trending, equipment downtime insights, and customizable reports for data-driven decision-making. Atlas CMMS serves maintenance managers, facility managers, and operations personnel in small to mid-sized businesses, as well as larger organizations across manufacturing, facilities management, healthcare, hospitality, and utilities. The platform caters to organizations seeking to transition from manual maintenance tracking to digital workflows, offering unlimited user scaling in the open-source version without per-user licensing fees.

Mobbiz is a business process management (BPM) and intelligent automation platform designed to bridge the gap between rigid legacy systems and manual operational chaos. The platform combines strategic business process consulting with a high-performance, AI-ready no-code environment to digitize and scale a company's unique operational "know-how". Headquartered in Singapore with technical delivery in Philippines and clients worldwide and led by a founding team with global experience at Accenture, Mobbiz provides bilingual (English and Spanish) solutions for international markets. The platform specializes in multi-location franchise operations, B2B distribution, lending and energy and utilities verticals. It also has pre-configured modules for CRM and Sales, HR and Recruitment and Procurement. Core Capabilities & Features: No-Code Workflow Automation: Highly configurable architecture that automates complex business flows without requiring external development help. AI Document Intelligence and chatbot Assistant: Purposeful AI agents. Omnichannel Accessibility: Enterprise-grade security with native support for Web, iOS, and Android devices. Deep Integration Library: Seamless connectivity with major ERP and accounting systems including SAP, oracle, Odoo, NetSuite, QuickBooks, Xero and other third part APIs. Real-Time Operational Dashboards: Unified reporting that provides full visibility across all company locations and transactions. Offline capabilities and white labelling and branding options. Operating since 2017.

QRCodeFox is an AI-powered tool designed to transform standard QR codes into visually captivating artworks without compromising their scannability. By leveraging advanced AI models, QRCodeFox enables users to seamlessly blend functionality with creativity, making QR codes more engaging and aesthetically pleasing. Key Features and Functionality: - Artistic QR Code Generation: Utilizes AI to convert traditional QR codes into unique, artistic designs while ensuring they remain fully functional. - User-Friendly Interface: Offers an intuitive platform that allows users to easily create customized QR codes without requiring technical expertise. - Customization Options: Provides various design templates and styles, enabling users to tailor QR codes to align with their brand identity or personal preferences. - High Compatibility: Ensures that the generated QR codes are compatible with standard QR code scanners, maintaining their practical utility. Primary Value and User Solutions: QRCodeFox addresses the challenge of integrating QR codes into marketing materials, digital content, and personal projects without sacrificing visual appeal. By enhancing the aesthetic quality of QR codes, it helps businesses and individuals capture attention, improve engagement, and convey information more effectively. This fusion of art and functionality ensures that QR codes are not only practical but also contribute positively to the overall design and user experience.

Git AI is an open-source Git extension designed to track AI-generated code throughout the entire software development lifecycle (SDLC). By integrating seamlessly with existing workflows, it enables developers to monitor, attribute, and analyze AI contributions within their codebases without altering their standard practices. Git AI supports various coding agents, ensuring comprehensive coverage and adaptability across different development environments. Key Features and Functionality: - Seamless Integration: Once installed, Git AI operates transparently, allowing developers to continue their usual workflows without modification. It utilizes Git hooks to monitor and attribute AI-generated code automatically. - Comprehensive AI Attribution: The tool links each line of AI-generated code to the specific agent, model, and prompt responsible for its creation. This detailed attribution aids in understanding the origin and intent behind every line of code. - AI Blame Functionality: An enhanced version of the traditional `git blame` command, AI Blame provides insights into AI authorship, helping engineers discern the contributions made by AI agents. - Ask the Author (Agent): This feature allows developers to query the AI agent that generated specific code lines, facilitating a deeper understanding of the code's purpose, architecture decisions, and original intent. - Robust Tracking Through Git Operations: Git AI preserves AI attributions across various Git operations, including rebases, merges, cherry-picks, and resets, ensuring consistent tracking of AI contributions. - Personal Dashboard: Developers can monitor their AI usage, compare different models, and analyze prompting techniques to optimize collaboration with AI agents. Primary Value and Problem Solved: Git AI addresses the challenge of accurately tracking and managing AI-generated code within software projects. By providing precise attribution and seamless integration, it empowers development teams to: - Enhance Code Transparency: Understand the origin and intent behind AI-generated code, facilitating better code reviews and maintenance. - Improve Collaboration: Enable effective collaboration between human developers and AI agents by preserving context and intent throughout the codebase. - Optimize AI Utilization: Analyze AI contributions to identify best practices, refine prompting techniques, and measure the effectiveness of different AI models. By implementing Git AI, organizations can confidently integrate AI into their development processes, ensuring that AI-generated code is transparent, traceable, and maintainable throughout the SDLC.