Business Software for Go - Page 14
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Noma
Noma
From development to production and from classic data engineering to AI. Secure the development environments, pipelines, tools, and open source components that make up your data and AI supply chain. Continuously discover, prevent, and fix AI security and compliance risks before they make their way to production. Monitor your AI applications in runtime, detect and block adversarial AI attacks, and enforce app-specific guardrails. Noma seamlessly embeds across your data and AI supply chain and AI applications, mapping all your data pipelines, notebooks, MLOps tools, open-source AI components, first- and third-party models, and datasets, automatically generating a comprehensive AI/ML-BOM. Noma continuously identifies and provides actionable remediations for security risks such as misconfigurations, AI vulnerabilities, and against-policy training data usage throughout your data and AI supply chain, enabling you to proactively improve your AI security posture. -
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Konfig
Konfig
Konfig is a developer tool that automates the generation of SDKs, documentation, demos, and tutorials for REST APIs, facilitating seamless onboarding for external developers. By importing an OpenAPI Specification or Postman Collection, Konfig automatically produces SDKs in popular programming languages, including TypeScript, Python, Java, C#, PHP, Ruby, Go, Swift, and Dart. The platform ensures high-quality SDKs by identifying and rectifying errors in the OpenAPI Specification through its linter and writing test cases to prevent API updates from breaking existing SDKs. Konfig also generates branded, user-friendly documentation that auto-updates with any changes to the API specification, maintaining consistency between documentation and SDKs. Additionally, it allows for the creation of engaging demos and tutorials using familiar Markdown, enabling users to run code in-browser for hands-on learning. -
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Gemini 2.0 Pro
Google
Gemini 2.0 Pro is Google DeepMind's most advanced AI model, designed to excel in complex tasks such as coding and intricate problem-solving. Currently in its experimental phase, it features an extensive context window of two million tokens, enabling it to process and analyze vast amounts of information efficiently. A standout feature of Gemini 2.0 Pro is its seamless integration with external tools like Google Search and code execution environments, enhancing its ability to provide accurate and comprehensive responses. This model represents a significant advancement in AI capabilities, offering developers and users a powerful resource for tackling sophisticated challenges. -
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Augoor
Augoor
Augoor transforms static code into dynamic knowledge, enabling teams to navigate, document, and optimize complex systems effortlessly. By extracting structures, relationships, and context, Augoor builds a living knowledge graph that accelerates the development lifecycle. Its AI-driven code navigation tool accelerates new developer productivity, integrating them into projects from day one. Augoor reduces maintenance efforts and enhances code integrity by pinpointing problematic code segments, saving costs, and reinforcing your codebase. It automatically generates clear, updated code explanations, preserving knowledge, especially for complex legacy systems. The AI navigation system cuts down time spent searching through code, allowing developers to focus more on coding, speeding up feature development, and fostering innovation in large codebases. Augoor's advanced AI-driven visualizations uncover hidden patterns, map complex dependencies, and reveal critical relationships. -
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ERNIE X1
Baidu
ERNIE X1 is an advanced conversational AI model developed by Baidu as part of their ERNIE (Enhanced Representation through Knowledge Integration) series. Unlike previous versions, ERNIE X1 is designed to be more efficient in understanding and generating human-like responses. It incorporates cutting-edge machine learning techniques to handle complex queries, making it capable of not only processing text but also generating images and engaging in multimodal communication. ERNIE X1 is often used in natural language processing applications such as chatbots, virtual assistants, and enterprise automation, offering significant improvements in accuracy, contextual understanding, and response quality.Starting Price: $0.28 per 1M tokens -
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Eventarc
Google
Google Cloud's Eventarc is a fully managed platform that enables developers to build event-driven architectures by routing events from various sources to supported destinations. It allows for the collection of events occurring within a system and publishes them to a specified destination, facilitating the creation of loosely coupled services that react to state changes. Eventarc supports events from Google Cloud services, custom applications, and third-party SaaS providers, providing flexibility in event-driven application design. Developers can create triggers to route events to various destinations, such as Cloud Run services, allowing for responsive and scalable application architectures. Eventarc ensures secure event delivery by integrating with Identity and Access Management (IAM), enabling fine-grained access control over event ingestion and processing. -
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JSON Formatter
JSON Formatter
JSON Formatter's JSON Editor is a user-friendly tool designed for editing, viewing, and analyzing JSON data. It offers features such as formatting, beautifying, and validating JSON, as well as converting JSON to XML, CSV, and YAML formats. Users can load JSON data via file upload or URL and share edited JSON through generated links. It ensures that data is not sent to external servers, thus enhancing security and performance. -
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AlphaCodium
Qodo
AlphaCodium is a research-driven AI tool developed by Qodo to enhance coding with iterative, test-driven processes. It helps large language models improve their accuracy by enabling them to engage in logical reasoning, testing, and refining code. AlphaCodium offers an alternative to basic prompt-based approaches by guiding AI through a more structured flow paradigm, which leads to better mastery of complex code problems, particularly those involving edge cases. It improves performance on coding challenges by refining outputs based on specific tests, ensuring more reliable results. AlphaCodium is benchmarked to significantly increase the success rates of LLMs like GPT-4o, OpenAI o1, and Sonnet-3.5. It supports developers by providing advanced solutions for complex coding tasks, allowing for enhanced productivity in software development. -
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DeepSeek-Coder-V2
DeepSeek
DeepSeek-Coder-V2 is an open source code language model designed to excel in programming and mathematical reasoning tasks. It features a Mixture-of-Experts (MoE) architecture with 236 billion total parameters and 21 billion activated parameters per token, enabling efficient processing and high performance. The model was trained on an extensive dataset of 6 trillion tokens, enhancing its capabilities in code generation and mathematical problem-solving. DeepSeek-Coder-V2 supports over 300 programming languages and has demonstrated superior performance on benchmarks such surpassing other models. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, optimized for instruction-based tasks; DeepSeek-Coder-V2-Base, suitable for general text generation; and lightweight versions like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct, designed for environments with limited computational resources. -
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Mistral Code
Mistral AI
Mistral Code is an AI-powered coding assistant designed to enhance software engineering productivity in enterprise environments by integrating powerful coding models, in-IDE assistance, local deployment options, and comprehensive enterprise tooling. Built on the open-source Continue project, Mistral Code offers secure, customizable AI coding capabilities while maintaining full control and visibility inside the customer’s IT environment. It supports over 80 programming languages and advanced functionalities such as multi-step refactoring, code search, and chat assistance, enabling developers to complete entire tickets, not just code completions. The platform addresses common enterprise challenges like proprietary repo connectivity, model customization, broad task coverage, and unified service-level agreements (SLAs). Major enterprises such as Abanca, SNCF, and Capgemini have adopted Mistral Code, using hybrid cloud and on-premises deployments. -
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Grok 4 Heavy
xAI
Grok 4 Heavy is the most powerful AI model offered by xAI, designed as a multi-agent system to deliver cutting-edge reasoning and intelligence. Built on the Colossus supercomputer, it achieves a 50% score on the challenging HLE benchmark, outperforming many competitors. This advanced model supports multimodal inputs including text and images, with plans to add video capabilities. Grok 4 Heavy targets power users such as developers, researchers, and technical enthusiasts who require top-tier AI performance. Access is provided through the premium “SuperGrok Heavy” subscription priced at $300 per month. xAI has enhanced moderation and removed problematic system prompts to ensure responsible and ethical AI use. -
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Claude Opus 4.1
Anthropic
Claude Opus 4.1 is an incremental upgrade to Claude Opus 4 that boosts coding, agentic reasoning, and data-analysis performance without changing deployment complexity. It raises coding accuracy to 74.5 percent on SWE-bench Verified and sharpens in-depth research and detailed tracking for agentic search tasks. GitHub reports notable gains in multi-file code refactoring, while Rakuten Group highlights its precision in pinpointing exact corrections within large codebases without introducing bugs. Independent benchmarks show about a one-standard-deviation improvement on junior developer tests compared to Opus 4, mirroring major leaps seen in prior Claude releases. Opus 4.1 is available now to paid Claude users, in Claude Code, and via the Anthropic API (model ID claude-opus-4-1-20250805), as well as through Amazon Bedrock and Google Cloud Vertex AI, and integrates seamlessly into existing workflows with no additional setup beyond selecting the new model. -
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GPT-5 pro
OpenAI
GPT-5 Pro is OpenAI’s most advanced AI model, designed to tackle the most complex and challenging tasks with extended reasoning capabilities. It builds on GPT-5’s unified architecture, using scaled, efficient parallel compute to provide highly comprehensive and accurate responses. GPT-5 Pro achieves state-of-the-art performance on difficult benchmarks like GPQA, excelling in areas such as health, science, math, and coding. It makes significantly fewer errors than earlier models and delivers responses that experts find more relevant and useful. The model automatically balances quick answers and deep thinking, allowing users to get expert-level insights efficiently. GPT-5 Pro is available to Pro subscribers and powers some of the most demanding applications requiring advanced intelligence. -
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GPT-5 thinking
OpenAI
GPT-5 Thinking is the deeper reasoning mode within the GPT-5 unified AI system, designed to tackle complex, open-ended problems that require extended cognitive effort. It works alongside the faster GPT-5 model, dynamically engaging when queries demand more detailed analysis and thoughtful responses. This mode significantly reduces hallucinations and improves factual accuracy, producing more reliable answers on challenging topics like science, math, coding, and health. GPT-5 Thinking is also better at recognizing its own limitations, communicating clearly when tasks are impossible or underspecified. It incorporates advanced safety features to minimize harmful outputs and provide nuanced, helpful answers even in ambiguous or sensitive contexts. Available to all users, it helps bring expert-level intelligence to everyday and advanced use cases alike. -
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Paid.ai
Paid.ai
Paid.ai is a purpose-built platform that enables AI agent developers to seamlessly monetize, track costs, and automate billing for their autonomous agents. By capturing usage signals via lightweight SDKs, it provides real-time monitoring of LLM/API costs, margin visibility per agent, and alerts for cost spikes. Its flexible workflows facilitate multiple billing models, including per-agent, per-action, per-workflow, and outcome-based pricing, aligned with the way AI agents deliver business value. Paid.ai supports comprehensive revenue operations by automating invoice generation, offering pricing simulation tools, managing orders and payments, and embedding live value dashboards through its “Blocks” feature. Developers can integrate Paid.ai quickly into their systems using Node.js, Python, Go, or Ruby SDKs, enabling fast deployment of both cost tracking (free for the first year) and billing automation. -
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Claude Sonnet 4.5
Anthropic
Claude Sonnet 4.5 is Anthropic’s latest frontier model, designed to excel in long-horizon coding, agentic workflows, and intensive computer use while maintaining safety and alignment. It achieves state-of-the-art performance on the SWE-bench Verified benchmark (for software engineering) and leads on OSWorld (a computer use benchmark), with the ability to sustain focus over 30 hours on complex, multi-step tasks. The model introduces improvements in tool handling, memory management, and context processing, enabling more sophisticated reasoning, better domain understanding (from finance and law to STEM), and deeper code comprehension. It supports context editing and memory tools to sustain long conversations or multi-agent tasks, and allows code execution and file creation within Claude apps. Sonnet 4.5 is deployed at AI Safety Level 3 (ASL-3), with classifiers protecting against inputs or outputs tied to risky domains, and includes mitigations against prompt injection. -
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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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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. -
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Exceptionly
Exceptionly
We find, test, and deliver software talent for a direct hire. Exceptionly is built to revolutionize the software talent industry by leveraging its unique big data set of 2 million hands-on tested software engineers from 175 countries. Exceptionly invests in its enterprise-level talent acquisition engine and offers a platform as a service for providing both quality and volume of tested remote software engineers for businesses around the world. Exceptionly’s mission is to enable 100% of the technology talent capital for highly skilled remote talent around the world. We help businesses go beyond their zip codes for hiring the best of the best and leverage their talent budget in full. -
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AtomicJar
AtomicJar
Shift testing to the left and find issues earlier, when they are easier and cheaper to fix. Enable developers to do better integration testing, shorten dev cycles and increase productivity. Shorter and more-thorough integration feedback cycles, mean more reliable products. Testcontainers Cloud makes it easy for developers to run reliable integration tests, with real dependencies defined in code, from their laptops to their team’s CI. Testcontainers is an open-source framework for providing throwaway, lightweight instances of databases, message brokers, web browsers, or just about anything that can run in a Docker container. No more need for mocks or complicated environment configurations. Define your test dependencies as code, then simply run your tests and containers will be created and then deleted. -
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gProfiler
Granulate
gProfiler combines multiple sampling profilers to produce unified visualization of what your CPU is spending time on, displaying stack traces of your processes across native programs (includes Golang), Java and Python runtimes. gProfiler can upload its results to the Granulate Performance Studio, which aggregates the results from different instances over different periods of time and can give you a holistic view of what is happening on your entire cluster. To upload results, you will have to register and generate a token on the website. -
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CodeT5
Salesforce
Code for CodeT5, a new code-aware pre-trained encoder-decoder model. Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation. This is the official PyTorch implementation for the EMNLP 2021 paper from Salesforce Research. CodeT5-large-ntp-py is specially optimized for Python code generation tasks and employed as the foundation model for our CodeRL, yielding new SOTA results on the APPS Python competition-level program synthesis benchmark. This repo provides the code for reproducing the experiments in CodeT5. CodeT5 is a new pre-trained encoder-decoder model for programming languages, which is pre-trained on 8.35M functions in 8 programming languages (Python, Java, JavaScript, PHP, Ruby, Go, C, and C#). In total, it achieves state-of-the-art results on 14 sub-tasks in a code intelligence benchmark - CodeXGLUE. Generate code based on the natural language description. -
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Codey
Google
Codey accelerates software development with real-time code completion and generation, customizable to a customer’s own codebase. This code generation model supports 20+ coding languages, including Go, Google Standard SQL, Java, Javascript, Python, and Typescript. It enables a wide variety of coding tasks, helping developers to work faster and close skills gaps through: Code completion: Codey suggests the next few lines based on the context of code entered into the prompt. Code generation: Codey generates code based on natural language prompts from a developer. Code chat: Codey lets developers converse with a bot to get help with debugging, documentation, learning new concepts, and other code-related questions. -
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CRS Credit API
CRS
Power fast, compliant financial decisions with all-in-one credit data API solutions. Experience the advantage of credit data-as-a-service with CRS. Equifax, Experian, and TransUnion credit reports, plus public records and alternative data – all in one place. Hassle-free lending, screening, and credit monitoring start here. CRS helps navigate the sea of data products to deliver cost-efficient, scalable, compliant data solutions that fit like a glove. Start pulling credit data in less than 2 weeks with an all-in-one credit data API integration set up in days. One contract, one vetting process, and fully managed compliance make working with credit data a breeze. The fastest way to integrate credit and regulated data into platforms and processes is with an API that’s tailored to your language and framework. Our independent API is secure, redundant, and scalable. Responses are clean and clear. Save time with the new credit industry API standard, only with CRS. -
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Levo.ai
Levo.ai
Levo.ai gives enterprises unparalleled visibility into their APIs while continuously discovering and documenting internal, external and partner/third-party APIs. Enterprises can then see the risk from their apps and prioritize it based on the sensitive data flows, AuthN/AuthZ usage and several other criteria. Levo.ai then continuously security tests all apps and APIs to find vulnerabilities in the SDLC as early as possible. -
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Unremot
Unremot
Unremot is a go-to place for anyone aspiring to build an AI product - with 120+ pre-built APIs, you can build and launch AI products 2X faster, at 1/3rd cost. Even, some of the most complicated AI product APIs take less than a few minutes to deploy and launch, with minimal code or even no-code. Choose an AI API that you want to integrate to your product from 120+ APIs we have on Unremot. Provide your API private key to authenticate Unremot to access the API. Use unremot unique URL to connect the product API - the whole process takes only minutes, instead of days and weeks. -
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CodeGemma
Google
CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following. CodeGemma has 3 model variants, a 7B pre-trained variant that specializes in code completion and generation from code prefixes and/or suffixes, a 7B instruction-tuned variant for natural language-to-code chat and instruction following; and a state-of-the-art 2B pre-trained variant that provides up to 2x faster code completion. Complete lines, and functions, and even generate entire blocks of code, whether you're working locally or using Google Cloud resources. Trained on 500 billion tokens of primarily English language data from web documents, mathematics, and code, CodeGemma models generate code that's not only more syntactically correct but also semantically meaningful, reducing errors and debugging time. -
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Codebashing
Checkmarx
Codebashing is Checkmarx’s in-context eLearning platform that sharpens the skills developers need to fix vulnerabilities and write secure code. Expanding on the learn-by-doing concept, Codebashing teaches developers the principles of secure coding and helps them sharpen application security skills in the most efficient way. Give your developers the skills they need to increase security and reduce risk right from the start. Transform developer security training into an ongoing experience that integrates seamlessly into daily workflows, making learning continuous, personalized, and directly aligned with developers’ evolving needs. Personalized secure code training journeys are carefully crafted to equip developers with role-specific knowledge, making security training both relevant and effective. This custom learning path includes 85 lessons, covering all SDLC aspects, designed to help security-minded developers become security champions for your enterprise. -
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Grok 4 Fast
xAI
Grok 4 Fast is the latest AI model from xAI, engineered to deliver rapid and efficient query processing. It improves upon earlier versions with faster response times, lower latency, and higher accuracy across a variety of topics. With enhanced natural language understanding, the model excels in both casual conversation and complex problem-solving. A key feature is its real-time data analysis capability, ensuring users receive up-to-date insights when needed. Grok 4 Fast is accessible across multiple platforms, including Grok, X, and mobile apps for iOS and Android. By combining speed, reliability, and scalability, it offers an ideal solution for anyone seeking instant, intelligent answers.