Business Software for Java - Page 28
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Gemini 3.1 Pro
Google
Gemini 3.1 Pro is Google’s upgraded core intelligence model designed for complex tasks that require advanced reasoning. Building on the Gemini 3 series, it delivers significant improvements in problem-solving performance and logical pattern recognition. On the ARC-AGI-2 benchmark, Gemini 3.1 Pro achieved a verified score of 77.1%, more than doubling the reasoning performance of Gemini 3 Pro. The model is engineered for challenges where simple answers are insufficient, enabling deeper analysis, synthesis, and creative output. It can generate practical outputs such as animated, website-ready SVGs directly from text prompts, combining intelligence with real-world usability. Gemini 3.1 Pro is rolling out in preview across consumer, developer, and enterprise platforms including the Gemini app, NotebookLM, Gemini API, Gemini Enterprise Agent Platform, and Android Studio. With expanded access for Google AI Pro and Ultra users, 3.1 Pro sets a stronger baseline for agentic workflows. -
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Gemini 3.1 Flash-Lite
Google
Gemini 3.1 Flash-Lite is Google’s fastest and most cost-efficient model in the Gemini 3 series, designed for high-volume developer workloads. It delivers strong performance at scale while maintaining affordability, with pricing set at $0.25 per million input tokens and $1.50 per million output tokens. The model significantly improves speed, offering a 2.5x faster time to first answer token and a 45% increase in output speed compared to Gemini 2.5 Flash. Despite its lower cost tier, it achieves high benchmark results, including an Elo score of 1432 and strong performance across reasoning and multimodal evaluations. Gemini 3.1 Flash-Lite supports adaptive “thinking levels,” allowing developers to control how much reasoning power is used for different tasks. It is suitable for large-scale applications such as translation, content moderation, user interface generation, and simulation building. -
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GPT-5.3 Instant
OpenAI
GPT-5.3 Instant is an updated version of ChatGPT’s most-used model, designed to make everyday conversations more fluid, helpful, and accurate. The release focuses on improving tone, relevance, and conversational flow based directly on user feedback. It reduces unnecessary refusals and cuts back on overly cautious disclaimers, delivering clearer and more direct answers when appropriate. The model also improves how it integrates web results, providing better-contextualized information rather than long lists of loosely connected links. Accuracy has been strengthened, with measurable reductions in hallucinations across both high-stakes domains and everyday queries. GPT-5.3 Instant enhances creative writing capabilities, producing more textured, emotionally resonant prose. It is available to all ChatGPT users and developers via the API under ‘gpt-5.3-chat-latest,’ with legacy versions scheduled for retirement. -
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GPT-5.4 Pro
OpenAI
GPT-5.4 Pro is an advanced AI model developed by OpenAI to deliver high-performance capabilities for professional and complex tasks. It combines improvements in reasoning, coding, and agent-based workflows into a single unified system. The model is designed to work efficiently across professional tools such as spreadsheets, presentations, documents, and development environments. GPT-5.4 Pro also includes native computer-use capabilities, enabling AI agents to interact with software, websites, and operating systems to complete tasks. With support for up to one million tokens of context, it can manage long workflows and large datasets more effectively than previous models. The model also improves tool usage, allowing it to search for and select the right tools during multi-step processes. By delivering more accurate outputs with fewer tokens, GPT-5.4 Pro helps professionals complete complex work faster and more efficiently. -
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GPT‑5.4 Thinking
OpenAI
GPT-5.4 Thinking is an advanced reasoning-focused AI model available within ChatGPT, designed to help users complete complex professional tasks more effectively. It combines improvements in reasoning, coding, and agent-based workflows to provide more accurate and reliable outputs. The model can present an upfront outline of its reasoning process, allowing users to adjust instructions while it is generating a response. This capability helps produce results that better align with user goals without requiring multiple follow-up prompts. GPT-5.4 Thinking also improves deep web research, enabling it to locate and synthesize information from multiple sources more efficiently. With stronger context management, it can handle longer conversations and complex problem-solving tasks with greater coherence. These capabilities make GPT-5.4 Thinking well suited for professional knowledge work and advanced analytical tasks. -
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GPT-5.4 mini
OpenAI
GPT-5.4 mini is a fast and efficient AI model designed for high-performance tasks such as coding, reasoning, and multimodal understanding. It delivers strong capabilities similar to larger models while maintaining lower latency and cost. The model is optimized for responsive applications where speed is critical, including coding assistants and real-time workflows. GPT-5.4 mini supports advanced features such as tool use, function calling, and image interpretation. It performs well on complex tasks while running significantly faster than previous mini models. The model is also suitable for subagent systems, where it handles smaller tasks within larger AI workflows. By combining speed, efficiency, and strong performance, GPT-5.4 mini enables scalable AI applications across various use cases. -
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GPT-5.4 nano
OpenAI
GPT-5.4 nano is a lightweight and highly efficient AI model designed for fast, cost-effective task execution. It is optimized for simple and high-volume tasks such as classification, data extraction, and basic coding support. The model delivers quick responses with minimal latency, making it ideal for real-time and large-scale applications. GPT-5.4 nano improves significantly over previous nano models in both performance and efficiency. It supports essential capabilities like tool use and structured data processing. The model is commonly used as a supporting component within larger AI systems. By focusing on speed and affordability, GPT-5.4 nano enables scalable automation across various workflows. -
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Raven
Raven
Raven is a runtime application security platform designed to protect cloud-native applications by operating directly inside the application during execution, rather than relying on external defenses. It provides real-time visibility into how code actually runs, allowing it to understand execution flows, libraries, and function-level behavior in order to detect and stop malicious activity before it occurs. Unlike traditional tools such as WAF or EDR that monitor from the outside, Raven embeds itself within the application, enabling it to prevent exploits, supply chain attacks, and zero-day threats even when no known vulnerability or CVE exists. It continuously monitors runtime behavior, identifies abnormal patterns or misuse of legitimate logic, and responds immediately to block harmful execution. It also helps teams prioritize security efforts by filtering out the majority of irrelevant vulnerabilities and focusing only on those that are truly exploitable. -
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Rocket Visual COBOL Personal Edition
Rocket Software
Rocket Visual COBOL Personal Edition is a free, academic-use development environment that allows students and professionals to learn modern COBOL inside today’s most popular IDEs, including Visual Studio, Eclipse, and Visual Studio Code. It provides advanced editing, debugging, continuous background compilation, and intelligent code analysis to accelerate learning and productivity. With support for both .NET and JVM ecosystems, learners can combine COBOL with C#, Java, and other modern languages in a single toolset. Designed specifically for education and skills development, it offers a one-year student developer license at no cost. It also helps new developers build foundational COBOL abilities while enabling experienced programmers to explore modernization techniques. With over 100,000 downloads, it remains one of the most trusted ways to learn and practice COBOL development. -
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Rocket ACUCOBOL-GT
Rocket Software
Rocket® ACUCOBOL-GT® is a comprehensive COBOL development and deployment system designed to extend, modernize, and maintain business-critical COBOL applications while preserving existing logic and workflows. It provides developers with modern tools, including integration with Visual Studio Code, enabling them to analyze, edit, compile, and debug complex ACUCOBOL codebases within a familiar environment. The platform supports seamless integration with contemporary technologies such as Java, .NET, C, and COM, allowing organizations to modernize applications without rewriting them from scratch. It includes built-in graphical capabilities, where the “GT” (Graphical Technology) enables developers to embed interface elements such as menus, buttons, and windows directly into applications, creating richer user experiences. It also offers a Screen Designer and layout tools to build adaptive, responsive user interfaces that can be rendered remotely without requiring code changes. -
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ProxyLite
ProxyLite
ProxyLite is a residential proxy and web data collection platform that provides access to a large global network of over 72 million real IP addresses across more than 190 locations, enabling users to collect public data, automate workflows, and access localized content without being blocked. It offers multiple proxy types, including rotating residential proxies, static residential proxies, datacenter proxies, and ISP proxies, all designed to deliver high anonymity, fast response times, and stable connections for large-scale operations. It supports unlimited sessions and high concurrency, allowing users to send frequent requests without bandwidth or usage restrictions, while maintaining a reported high success rate and uptime for consistent performance. It includes an all-in-one web scraping API that simplifies data extraction by handling request routing, IP rotation, and response processing within a single interface. -
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CodeTurn
Astadia
CodeTurn is Astadia’s automated mainframe code conversion product, built to automatically transform legacy source code into modern source code that is maintainable and 100% functionally equivalent to the original. It takes an application’s source code and converts it to functionally identical sources, ready to run in an alternative environment on the same platform or on a different platform altogether. Because the conversion and testing are fully automated, the outcome of the modernization project becomes highly predictable in terms of risks, costs, and duration. The migrated application is free of dependencies on proprietary Astadia software and relies on native industry-standard technologies instead. CodeTurn integrates all aspects of conversion to produce high-quality, functionally equivalent code and is typically used with Astadia tools such as DataTurn for legacy data migration, TestMatch for automated testing, and DataMatch for automated batch testing. -
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Intellisys
EvolveWare
Intellisys is an AI-enhanced platform for application modernization and maintenance that uses intelligent automation to enable multiple pathways to modernization, helping organizations reduce dependency on legacy technology and the costs associated with it. It supports an unparalleled number of programming languages and incorporates custom AI/ML technologies that continue to be enhanced over time. Intellisys mitigates modernization risk through a phase-based approach: documentation and analysis, followed by agile business rules extraction and/or code optimization and migration. It executes diverse modernization objectives across the application portfolio, supporting technologies. It provides a 100% automated set of reverse-engineering artifacts, helping teams analyze implemented logic, understand the impact of potential changes, and keep documentation continuously updated. -
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3PO
Dualboot Partners
3PO Code Translator helps transform legacy software into modern technology by migrating outdated systems to modern technology stacks with an AI-powered legacy code translator. It is designed for legacy platforms, proprietary languages, outdated trading systems, back-office operations, and custom applications that need a seamless transition to modern languages and platforms. 3PO analyzes and interprets legacy code using advanced algorithms and machine learning capabilities, streamlining translation with accuracy, efficiency, and precision every step of the way. It works from source code, documentation, and requirements to generate scaffolding and new source code, helping teams turn legacy software into a stronger business asset. Its translation process preserves existing functionality while enhancing performance, documenting legacy code, suggesting structures for the migrated application, and providing suggested code. -
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Google GenAI SDK
Google
The Gemini API libraries provide official, production-ready Google GenAI SDKs for building with the Gemini API in popular programming languages. Google recommends using the Google GenAI SDK when building with Gemini, since these libraries are developed and maintained by Google, used across official documentation and examples, and are generally available for production use. The SDKs are available for Python, JavaScript/TypeScript, Go, Java, and C#, with installation through standard package managers such as pip install google-genai, npm install google/genai, Maven dependencies for google genai, and dotnet add package Google GenAI. They provide access to the latest Gemini API features and are designed to offer the best performance when working with Gemini models. Google strongly recommends migrating from legacy libraries to the new Google GenAI SDK because the legacy libraries are not actively maintained. -
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Gemini 3.5 Pro
Google
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. -
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Diom
Svix
Diom is a backend components platform for building robust services, offering a set of well-integrated infrastructure primitives for backend and data engineers, including caching, key-value storage, rate-limiting, idempotency, queues, and streams. It is designed so engineers no longer need to build fragile, slow, and hard-to-maintain solutions on top of Redis, Postgres, or other data stores, and can instead rely on powerful, performant, well-tested components built for common backend patterns. Diom can replace multiple services such as Redis, RabbitMQ, and Kafka for many use cases, reducing service dependencies, operational complexity, monitoring overhead, backups, configuration work, and deployment costs. Its components support low-latency operations, minimal round-trip, HTTP-based APIs, SDKs for popular languages, and deployment in common backend environments. -
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CapRover
CapRover
CapRover is a scalable, free, and self-hosted platform as a service built to make app, database, and web server management extremely easy. It is designed for Node.js, Python, PHP, ASP.NET, Ruby, MySQL, MongoDB, Postgres, WordPress, and many other applications, giving developers a simple way to move from localhost to a live HTTPS domain in seconds. CapRover is blazingly fast and very robust because it uses Docker, Nginx, Let’s Encrypt, and NetData under the hood, while keeping the experience simple through a web GUI and a CLI for automation and scripting. It helps developers avoid spending hours setting up servers, build tools, SSL certificates, Nginx rules, and deployment scripts, so they can focus more on writing application code and less on server work. It supports any language, one-click apps, free SSL with automatic HTTP-to-HTTPS redirection, and several deployment methods, including uploading source from the dashboard, using the CapRover deploy command. -
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Easypanel
Easypanel
Easypanel is a next-generation server control panel powered by Docker, built to deploy applications, manage databases, and provision SSL certificates through an intuitive interface. Unlike many other panels, Easypanel can run any application, creating Docker images for Node.js, Ruby, Python, PHP, Go, and Java apps using Heroku Buildpacks, while still allowing users to bring their own Dockerfile when they need greater control. Developers can push to GitHub and let Easypanel get the code, build it, and deploy it automatically, with support for zero-downtime deployments so updates happen seamlessly without interruptions for users. It also supports Cloud Native Buildpacks, Paketo Buildpacks, Nixpacks, and Dockerfile-based builds, giving teams several ways to turn source code into Docker images. Databases are first-class citizens in Easypanel, with support for MySQL, PostgreSQL, MongoDB, and Redis, plus web-based tools to inspect logs or connect to the database CLI. -
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Concentrate AI
Concentrate AI
Concentrate AI is the LLM gateway for fast-growing teams, one API for every major LLM provider, with routing, spend, logs, and controls in one place. It helps teams securely access, use, and manage AI through a single API, so every request can find the smarter, faster, cheaper model for the workflow or task. Teams can access 130+ models, benchmark speed, quality, and cost, and route each workload to the best fit without wiring separate provider APIs into every environment. Support bots, coding agents, internal tools, chat, and batch jobs do not need the same model or the same route, so Concentrate lets teams pick a model slug, limit allowed providers, sort by live latency, use fallbacks, and reroute traffic when a provider slows down, errors, or hits a rate limit. It also gives engineering, finance, security, and leadership a shared view of AI usage with request-level logs, models, provider, duration, token counts, spend, error rates, alerts, and exports. -
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Seed Audio 1.0
BytePlus
Seed Audio 1.0 is a non-streaming audio generation API based on HTTP, designed to generate complete audio from text prompts, reference audio, or reference images. It supports text-only generation, where audio is created directly from the prompt; reference-audio generation, where uploaded reference clips guide the output; and reference-image generation, where an image reference can be passed to generate audio from the text to be synthesized. Built as part of BytePlus Seed Speech, Audio 1.0 uses the seed-audio-1.0 model version and is positioned as an audio creation capability rather than a standard speech-only endpoint. It can generate voice, music, and sound effects in a single pass, making it useful for producing richer audio scenes without separately creating and mixing every track. The API is intended for developers building audio generation into applications, workflows, and production systems, with a request-based structure that lets teams submit prompts. -
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Gemini 3.5 Flash Cyber
Google
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. -
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Devknox
XYSEC Labs
Get your code checked for security flaws as you write it, in realtime. Devknox understands the context of your code and suggests one-click fixes. Devknox takes care of security requirements and keeps them up to date with global security standards. How your app fares across 30 test cases with the Devknox Plugin on the IDE. Ensuring the app you are building, meets industry compliance standards like OWASP Top 10, HIPAA and PCI-DSS. Details of commonly exploited vulnerabilities, quick fixes and alternate suggestions on how to fix them. Devknox is a developer friendly Android Studio plugin that helps Android developers detect and resolve security issues in their apps, while writing code. Imagine Devknox to similar to what autocorrect is for English. As you write code, Devknox highlights possible security risks and also gives you a suggested solution which you can select and replace across your code. -
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Checkmarx
Checkmarx
The Checkmarx Software Security Platform provides a centralized foundation for operating your suite of software security solutions for Static Application Security Testing (SAST), Interactive Application Security Testing (IAST), Software Composition Analysis (SCA), and application security training and skills development. Built to address every organization’s needs, the Checkmarx Software Security Platform provides the full scope of options: including private cloud and on-premises solutions. Allowing a range of implementation options ensures customers can start securing their code immediately, rather than going through long processes of adapting their infrastructure to a single implementation method. The Checkmarx Software Security Platform transforms the standard for secure application development, providing one powerful resource with industry-leading capabilities. -
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gedit
The GNOME Project
gedit is the text editor of the GNOME desktop environment. The first goal of gedit is to be easy to use, with a simple interface by default. More advanced features are available by enabling plugins. A flexible plugin system which can be used to dynamically add new advanced features. -
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Contrast Assess
Contrast Security
A new kind of security designed for the way software is created. Resolve security issues minutes after installation by integrating security into your toolchain. Because Contrast agents monitor code and report from inside the application, developers can finally find and fix vulnerabilities without requiring security experts. That frees up security teams to focus on providing governance. Contrast Assess deploys an intelligent agent that instruments the application with smart sensors. The code is analyzed in real time from within the application. Instrumentation minimizes the false positives that slow down developers and security teams. Resolve security issues minutes after installation by integrating security into your toolchain. Contrast Assess integrates seamlessly into the software life cycle and into the tool sets that development and operations teams are already using, including native integration with ChatOps, ticketing systems and CI/CD tools, and a RESTful API. -
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CodePatrol
Claranet
Automated code reviews driven by security. CodePatrol performs powerful SAST scans on your project source code and identifies security flaws early. Powered by Claranet and Checkmarx. CodePatrol provides support for a wide variety of languages and scans your code with multiple SAST engines for better results. Stay up-to-date with the latest code flaws in your project using automated alerting and user-defined filter rules. CodePatrol uses industry-leading SAST software provided by Checkmarx and expertise from Claranet Cyber Security to identify the latest threat vectors. Multiple code scanning engines are frequently triggered on your code base and perform in-depth analysis on your project. You may access CodePatrol anytime and retrieve the aggregated scan results in order to fix your project security flaws. -
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CodePeer
AdaCore
The Most Comprehensive Static Analysis Toolsuite for Ada. CodePeer helps developers gain a deep understanding of their code and build more reliable and secure software systems. CodePeer is an Ada source code analyzer that detects run-time and logic errors. It assesses potential bugs before program execution, serving as an automated peer reviewer, helping to find errors easily at any stage of the development life-cycle. CodePeer helps you improve the quality of your code and makes it easier for you to perform safety and/or security analysis. CodePeer is a stand-alone tool that runs on Windows and Linux platforms and may be used with any standard Ada compiler or fully integrated into the GNAT Pro development environment. It can detect several of the “Top 25 Most Dangerous Software Errors” in the Common Weakness Enumeration. CodePeer supports all versions of Ada (83, 95, 2005, 2012). CodePeer has been qualified as a Verification Tool under the DO-178B and EN 50128 software standards. -
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Jtest
Parasoft
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. -
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CodeSonar
CodeSecure
CodeSonar employs a unified dataflow and symbolic execution analysis that examines the computation of the complete application. By not relying on pattern matching or similar approximations, CodeSonar's static analysis engine is extraordinarily deep, finding 3-5 times more defects on average than other static analysis tools. Unlike many software development tools, such as testing tools, compilers, configuration management, etc., SAST tools can be integrated into a team's development process at any time with ease. SAST technologies like CodeSonar simply attach to your existing build environments to add analysis information to your verification process. Like a compiler, CodeSonar does a build of your code using your existing build environment, but instead of creating object code, CodeSonar creates an abstract model of your entire program. From the derived model, CodeSonar’s symbolic execution engine explores program paths, reasoning about program variables and how they relate.
