419 Integrations with C
View a list of C integrations and software that integrates with C below. Compare the best C integrations as well as features, ratings, user reviews, and pricing of software that integrates with C. Here are the current C integrations in 2026:
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1
Gemma
Google
Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Developed by Google DeepMind and other teams across Google, Gemma is inspired by Gemini, and the name reflects the Latin gemma, meaning “precious stone.” Accompanying our model weights, we’re also releasing tools to support developer innovation, foster collaboration, and guide the responsible use of Gemma models. Gemma models share technical and infrastructure components with Gemini, our largest and most capable AI model widely available today. This enables Gemma 2B and 7B to achieve best-in-class performance for their sizes compared to other open models. And Gemma models are capable of running directly on a developer laptop or desktop computer. Notably, Gemma surpasses significantly larger models on key benchmarks while adhering to our rigorous standards for safe and responsible outputs. -
2
Seal Security
Seal Security
Production-ready backported patches that fix CVEs in place, without upgrades, breaking changes, or R&D bottlenecks, whether your code was written by engineers or generated by AI. -
3
CI Fuzz
Code Intelligence
CI Fuzz ensures robust and secure code with test coverage up to 100%. Use CI Fuzz from the command line or in the IDE of choice to generate thousands of test cases automatically. CI Fuzz analyzes code as it runs, just like a unit test, but with AI support to efficiently cover all paths through the code. Uncover real bugs in real-time and say goodbye to theoretical issues and false positives. Find real issues with all the information needed to quickly reproduce and fix them. Test your code with maximum code coverage and automatically detect typical security-relevant bugs like injections and remote code executions automatically in one go. Get fully covered to deliver the highest quality software. Conduct real-time code analysis with CI Fuzz. Take unit tests to the next level. It employs AI for comprehensive code path coverage and the automatic generation of thousands of test cases. Maximize pipeline performance that doesn't compromise software integrity.Starting Price: €30 per month -
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Gemma 2
Google
A family of state-of-the-art, light-open models created from the same research and technology that were used to create Gemini models. These models incorporate comprehensive security measures and help ensure responsible and reliable AI solutions through selected data sets and rigorous adjustments. Gemma models achieve exceptional comparative results in their 2B, 7B, 9B, and 27B sizes, even outperforming some larger open models. With Keras 3.0, enjoy seamless compatibility with JAX, TensorFlow, and PyTorch, allowing you to effortlessly choose and change frameworks based on task. Redesigned to deliver outstanding performance and unmatched efficiency, Gemma 2 is optimized for incredibly fast inference on various hardware. The Gemma family of models offers different models that are optimized for specific use cases and adapt to your needs. Gemma models are large text-to-text lightweight language models with a decoder, trained in a huge set of text data, code, and mathematical content. -
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ModelOp
ModelOp
ModelOp is the leading AI governance software that helps enterprises safeguard all AI initiatives, including generative AI, Large Language Models (LLMs), in-house, third-party vendors, embedded systems, etc., without stifling innovation. Corporate boards and C‑suites are demanding the rapid adoption of generative AI but face financial, regulatory, security, privacy, ethical, and brand risks. Global, federal, state, and local-level governments are moving quickly to implement AI regulations and oversight, forcing enterprises to urgently prepare for and comply with rules designed to prevent AI from going wrong. Connect with AI Governance experts to stay informed about market trends, regulations, news, research, opinions, and insights to help you balance the risks and rewards of enterprise AI. ModelOp Center keeps organizations safe and gives peace of mind to all stakeholders. Streamline reporting, monitoring, and compliance adherence across the enterprise. -
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Oracle NoSQL Database
Oracle
Oracle NoSQL Database is designed to handle high-volume, high-velocity data applications requiring low-latency responses and flexible data models. It supports JSON, table, and key-value data types, and operates both on-premise and as a cloud service. The database scales elastically to meet dynamic workloads and provides distributed data storage across multiple shards, ensuring high availability and rapid failover. It includes Python, Node.js, Java, C, C#, and REST API drivers for easy application development. Additionally, it integrates with Oracle products such as IoT, Golden Gate, and Fusion Middleware. Oracle NoSQL Database Cloud Service is a fully managed service, freeing developers from backend infrastructure management. Oracle NoSQL Database Cloud Service is a fully managed database service for developers who want to focus on application development without dealing with the hassle of managing the back-end hardware and software infrastructure. -
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Getgud.io
Getgud.io
Getgud.io is a platform that transforms gameplay data into targeted campaigns, boosts player engagement, analyzes in-match behavior, optimizes matchmaking, and ensures fair play, all in one platform. By connecting your game server to their platform with no client-side integration, you gain complete observability of your game and players. The dashboard allows you to create a single pane of glass of everything you care about, query everything from players, matches, and user reports to the insights they found for you, define actions and webhooks on any player cohort, and replay your game's matches to see your players, literally. Getgud autonomously analyzes in-match player behavior and detects toxic ones, including griefers such as campers, spawn killers, and boosters, to cheaters such as aim-botters, wall-hackers, and speed-hackers. You have control over tolerance levels and what actions to take, including automatic bans. -
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Gemini 2.0 Flash-Lite
Google
Gemini 2.0 Flash-Lite is Google DeepMind's lighter AI model, designed to offer a cost-effective solution without compromising performance. As the most economical model in the Gemini 2.0 lineup, Flash-Lite is tailored for developers and businesses seeking efficient AI capabilities at a lower cost. It supports multimodal inputs and features a context window of one million tokens, making it suitable for a variety of applications. Flash-Lite is currently available in public preview, allowing users to explore its potential in enhancing their AI-driven projects. -
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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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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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Gemini 2.5 Flash
Google
Gemini 2.5 Flash is a powerful, low-latency AI model introduced by Google on Vertex AI, designed for high-volume applications where speed and cost-efficiency are key. It delivers optimized performance for use cases like customer service, virtual assistants, and real-time data processing. With its dynamic reasoning capabilities, Gemini 2.5 Flash automatically adjusts processing time based on query complexity, offering granular control over the balance between speed, accuracy, and cost. It is ideal for businesses needing scalable AI solutions that maintain quality and efficiency. -
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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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CarMaker
IPG Automotive
CarMaker is a simulation solution specifically designed for the development and seamless testing of cars and light-duty vehicles across all development stages (MIL, SIL, HIL, VIL). It offers a high-performance, real-time capable vehicle model to build virtual prototypes early in the development process. All components can be replaced with customer-specific models or hardware. By combining the virtual prototype with an adaptive driver model, a complex traffic model, and a detailed road and environment model, automated and reproducible tests are possible at any time. The well-structured user interface guarantees easy parameterization. CarMaker's new visualization tool, Movie NX, enables photorealistic simulation of scenarios. Thanks to light and weather effects, real scenarios in the virtual world may take place at any time of day and during any season. Built-in camera models with HDR capability allow for realistic testing of camera systems. -
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TruckMaker
IPG Automotive
TruckMaker is a real-time simulation solution specifically tailored to the requirements relevant for the development and testing of heavy-duty vehicles such as trucks, construction vehicles, buses, semi-trucks, heavy-duty semi-trucks, and special vehicles. TruckMaker enables the accurate modeling of real-world test scenarios in the virtual world and increases the agility of development processes. In accordance with the automotive systems engineering approach, virtual test driving with TruckMaker enables the seamless development, calibration, testing, and validation of entire systems across the whole vehicle in realistic scenarios. TruckMaker offers a high-performance, real-time capable vehicle model to build virtual prototypes already during the early stages of the development process. Users have the option to replace components with their own models or hardware. -
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MotorcycleMaker
IPG Automotive
MotorcycleMaker is a real-time simulation solution specifically tailored to the requirements relevant for the development and testing of motorized two-wheelers such as motorcycles, e-bikes, and scooters. It enables the accurate modeling of real-world test scenarios in the virtual world and increases the agility of development processes. In accordance with the automotive systems engineering approach, virtual test driving with MotorcycleMaker enables the seamless development, calibration, test, and validation of entire systems across the whole vehicle in realistic scenarios. MotorcycleMaker offers a high-performance, real-time capable vehicle model to build virtual prototypes already during early stages of the development process. Users have the option to replace components with their own models or hardware. -
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NVIDIA DeepStream SDK
NVIDIA
NVIDIA's DeepStream SDK is a comprehensive streaming analytics toolkit based on GStreamer, designed for AI-based multi-sensor processing, including video, audio, and image understanding. It enables developers to create stream-processing pipelines that incorporate neural networks and complex tasks like tracking, video encoding/decoding, and rendering, facilitating real-time analytics on various data types. DeepStream is integral to NVIDIA Metropolis, a platform for building end-to-end services that transform pixel and sensor data into actionable insights. The SDK offers a powerful and flexible environment suitable for a wide range of industries, supporting multiple programming options such as C/C++, Python, and Graph Composer's intuitive UI. It allows for real-time insights by understanding rich, multi-modal sensor data at the edge and supports managed AI services through deployment in cloud-native containers orchestrated with Kubernetes. -
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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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Gemini 2.5 Flash-Lite
Google
Gemini 2.5 is Google DeepMind’s latest generation AI model family, designed to deliver advanced reasoning and native multimodality with a long context window. It improves performance and accuracy by reasoning through its thoughts before responding. The model offers different versions tailored for complex coding tasks, fast everyday performance, and cost-efficient high-volume workloads. Gemini 2.5 supports multiple data types including text, images, video, audio, and PDFs, enabling versatile AI applications. It features adaptive thinking budgets and fine-grained control for developers to balance cost and output quality. Available via Google AI Studio and Gemini API, Gemini 2.5 powers next-generation AI experiences. -
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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. -
21
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. -
22
VectorCAST
VECTOR Informatik
VectorCAST is a comprehensive test-automation suite designed to streamline unit, integration, and system testing across the embedded software development lifecycle. It automates test case generation and execution for C, C++, and Ada applications, supports host, target, and continuous-integration environments, and offers structural code coverage metrics to help validate safety- and mission-critical systems. It integrates with simulation workflows such as software-in-the-loop and processor-in-the-loop, links to model-based engineering tools like Simulink/Embedded Coder, supports white-box testing features like dynamic instrumentation, fault injection, and test harness generation, and can combine static-analysis results (e.g., from Polyspace) with dynamic test coverage for full-lifecycle verification. Key capabilities include linking requirements to tests, managing and reporting coverage across configurations. -
23
RKTracer
RKVALIDATE
RKTracer is a code-coverage and test-analysis tool that enables teams to assess the quality and completeness of their testing across unit, integration, functional, and system-level testing, without altering a single line of application code or build workflow. It supports instrumentation across host machines, simulators, emulators, embedded devices, and servers, and covers a broad array of programming languages, including C, C++, CUDA, C#, Java, Kotlin, JavaScript/TypeScript, Golang, Python, and Swift. It provides detailed coverage metrics such as function, statement, branch/decision, condition, MC/DC, and multi-condition coverage, and even supports delta-coverage reports to show which newly added or modified portions of code are already covered. Integration is seamless; simply prefix your build or test command with “rktracer”, run your tests, then generate HTML or XML reports (for CI/CD systems or dashboards like SonarQube). -
24
Gemini 3 Deep Think
Google
The most advanced model from Google DeepMind, Gemini 3, sets a new bar for model intelligence by delivering state-of-the-art reasoning and multimodal understanding across text, image, and video. It surpasses its predecessor on key AI benchmarks and excels at deeper problems such as scientific reasoning, complex coding, spatial logic, and visual-/video-based understanding. The new “Deep Think” mode pushes the boundaries even further, offering enhanced reasoning for very challenging tasks, outperforming Gemini 3 Pro on benchmarks like Humanity’s Last Exam and ARC-AGI. Gemini 3 is now available across Google’s ecosystem, enabling users to learn, build, and plan at new levels of sophistication. With context windows up to one million tokens, more granular media-processing options, and specialized configurations for tool use, the model brings better precision, depth, and flexibility for real-world workflows. -
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Claude Opus 4.5
Anthropic
Claude Opus 4.5 is Anthropic’s newest flagship model, delivering major improvements in reasoning, coding, agentic workflows, and real-world problem solving. It outperforms previous models and leading competitors on benchmarks such as SWE-bench, multilingual coding tests, and advanced agent evaluations. Opus 4.5 also introduces stronger safety features, including significantly higher resistance to prompt injection and improved alignment across sensitive tasks. Developers gain new controls through the Claude API—like effort parameters, context compaction, and advanced tool use—allowing for more efficient, longer-running agentic workflows. Product updates across Claude, Claude Code, the Chrome extension, and Excel integrations expand how users interact with the model for software engineering, research, and everyday productivity. Overall, Claude Opus 4.5 marks a substantial step forward in capability, reliability, and usability for developers, enterprises, and end users. -
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WedoLow
WedoLow
WedoLow is a deep-tech optimization platform for embedded and hosted C/C++ applications, designed to push software performance and efficiency even on constrained hardware. WedoLow analyses source code, identifies performance bottlenecks (CPU load, memory footprint, energy use), and automatically applies algorithmic and architectural optimizations tailored to the target hardware. The core of the offering, the beLow suite, integrates seamlessly with common build systems, so it fits into existing workflows. Once analysis is complete, beLow provides a detailed diagnostic report, classifies optimization opportunities (bit-exact, permissive, or lossy depending on output-value tolerance), and helps teams choose appropriate strategies based on constraints and trade-offs. WedoLow also supports AI-assisted code generation and optimization via its WedoLow MCP Server. -
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eXplain
PKS Software
eXplain is a specialized code-analysis and legacy-system evaluation tool from PKS Software GmbH, designed to deeply analyze, map, document, and assess legacy applications, especially on mainframe platforms such as IBM i (AS/400) and IBM Z, so organizations can understand what lives in their software, how it’s structured, and what parts are worth keeping, refactoring or retiring. It imports existing source code into an independent “eXplain server”, no need to install anything on the host system, then uses advanced parsers to examine languages like COBOL, PL/I, Assembler, Natural, RPG, JCL, and others, along with data about databases (Db2, Adabas, IMS), job-schedulers, transaction monitors, and more. eXplain builds a central repository that becomes a knowledge hub; from there, it generates cross-language dependency graphs, data-flow maps, interface analyses, clusterings of related modules, and detailed object-and-resource usage reports. -
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Grok 4.1 Thinking is xAI’s advanced reasoning-focused AI model designed for deeper analysis, reflection, and structured problem-solving. It uses explicit thinking tokens to reason through complex prompts before delivering a response, resulting in more accurate and context-aware outputs. The model excels in tasks that require multi-step logic, nuanced understanding, and thoughtful explanations. Grok 4.1 Thinking demonstrates a strong, coherent personality while maintaining analytical rigor and reliability. It has achieved the top overall ranking on the LMArena Text Leaderboard, reflecting strong human preference in blind evaluations. The model also shows leading performance in emotional intelligence and creative reasoning benchmarks. Grok 4.1 Thinking is built for users who value clarity, depth, and defensible reasoning in AI interactions.
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GPT-5.2-Codex
OpenAI
GPT-5.2-Codex is OpenAI’s most advanced agentic coding model, built for complex, real-world software engineering and defensive cybersecurity work. It is a specialized version of GPT-5.2 optimized for long-horizon coding tasks such as large refactors, migrations, and feature development. The model maintains full context over extended sessions through native context compaction. GPT-5.2-Codex delivers state-of-the-art performance on benchmarks like SWE-Bench Pro and Terminal-Bench 2.0. It operates reliably across large repositories and native Windows environments. Stronger vision capabilities allow it to interpret screenshots, diagrams, and UI designs during development. GPT-5.2-Codex is designed to be a dependable partner for professional engineering workflows. -
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Assembler Code Refactoring
Rocket Software
Rocket Assembler Code Refactoring is a specialized modernization solution that automatically restructures legacy Assembler code into structured pseudocode or modern languages such as COBOL, C, or Java without altering external behavior, enabling faster, lower-risk modernization and improved maintainability. Assembler code is notoriously dense, poorly documented, and supported by a shrinking pool of specialists, making maintenance slow, costly, and error-prone; this product addresses those challenges by delivering semantics-preserving, auditable transformations that reduce outages and secure modernization without sacrificing stability. Its fully automated core engine uses mathematically guaranteed logic equivalence to eliminate conversion risk, dramatically accelerating projects while ensuring that refactored outputs are semantically identical to the original code. -
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GPT-5.3-Codex
OpenAI
GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, designed to handle complex professional work on a computer. It combines frontier-level coding performance with advanced reasoning and real-world task execution. The model is faster than previous Codex versions and can manage long-running tasks involving research, tools, and deployment. GPT-5.3-Codex supports real-time interaction, allowing users to steer progress without losing context. It excels at software engineering, web development, and terminal-based workflows. Beyond code generation, it assists with debugging, documentation, testing, and analysis. GPT-5.3-Codex acts as an interactive collaborator rather than a single-turn coding tool. -
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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, Vertex AI, and Android Studio. With expanded access for Google AI Pro and Ultra users, 3.1 Pro sets a stronger baseline for ambitious agentic workflow & advanced applications. -
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Code Metal
Code Metal
CodeMetal is an AI-enabled code translation and deployment platform designed to help engineering teams automatically convert high-level reference code into optimized, hardware-specific implementations for edge and embedded environments. It allows developers to write algorithms in familiar languages such as Python, MATLAB, or Julia and then automatically generates low-level code tailored to the target runtime, including embedded C/C++, Rust, CUDA, or FPGA languages. Its agentic workflow analyzes module dependencies, maps equivalents across architectures, and produces a transpilation and deployment plan that developers can review or execute directly. CodeMetal emphasizes verifiable AI by combining generative techniques with formal methods to ensure translated code is tested, compliant, and production-ready, addressing the reliability concerns common in safety-critical industries. -
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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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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 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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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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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. -
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Codepad
Codepad
Codepad is a place for developers to share & save code snippets. It's a remarkable community of developers that can help you with your code snippets to save time on your projects. Share snippets with entire community. You can choose the programming language and the type of snippet: public, private or part private. Organise your code snippets in a beautiful way, easy add and categories them in collections. You can follow and control the snippets version. Don't lose the previous written code. If you are a freelancer or a company you can receive the job or collaboration offers directly to your registered email. Find the best developers on Codepad and follow their profile. You will see their new code snippets directly in your timeline. -
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Code Composer Studio
Texas Instruments
Code Composer Studio software comprises a suite of tools used to develop and debug embedded applications. The software includes an optimizing C/C++ compiler, source code editor, project build environment, debugger, profiler and many other features. The intuitive IDE provides a single-user interface that takes you through each step of the application development flow. Familiar tools and interfaces let you get started faster than ever before. Code Composer Studio software combines the advantages of the Eclipse software framework with advanced embedded-debug capabilities from TI resulting in a compelling feature-rich development environment for embedded developers. -
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Mbed Studio
Mbed Studio
Mbed Studio is a free IDE for Mbed OS application and library development, including all the dependencies and tools you need in a single package so that you can create, compile and debug your Mbed programs on the desktop. Develop your applications using Mbed OS, switching between pre-defined build profiles for development, debug or release. With API auto-completion, you'll find code authoring easier, likewise you can inspect hardware-dependent settings such as pin mappings based on your selected platform. As new features, code size improvements and fixes are added to Mbed OS in each release, your application can benefit from them, with Mbed Studio notifying you of available updates. Likewise, other drivers and libraries, such as those available on mbed.com can be updated. Develop IoT products that can be managed throughout their lifecycle. Mbed accounts allow you to access the free tier of pelion device management services, allowing you to connect and manage up to 100 devices. -
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Codase
Codase
Codase hosts huge amount of open source codes providing a much better coverage, as it covers codes usually hidden inside compressed files and source control repositories, where general search engines fail to find and index. In addition, Codase only indexes and searches high quality codes with every line of code literally validated and compiled by intelligent and powerful source code analysis engine. Codase is a privately held company based in silicon valley, founded by Dr. Huihong Luo and other veterans. We are a group of innovative and passionate professionals with diverse technologies, business background and proven track of records. We are committed to make Codase the world's best search engine for source codes in terms of features, quality, performance and code coverage. If you are a developer, you may find Codase useful, since improving your coding productivity is our goal. -
46
CudaText
CudaText
CudaText is a cross-platform text editor, written in Object Pascal. It is open source project and can be used free of charge, even for business. It starts quite fast on Linux on CPU Intel Core i3 3GHz. It is extensible by Python add-ons, plugins, linters, code tree parsers, external tools. Syntax parser is feature-rich, from EControl engine. Syntax highlight for lot of languages (270+ lexers). Code tree structure of functions/classes/etc, if lexer allows it. Code folding, multi-carets and multi-selections. Find/Replace with regular expressions. Configs in JSON format. Including lexer-specific configs. Tabbed UI, with a split view to primary/secondary, and a split window to 2/3/4/6 groups of tabs. Command palette, with fuzzy matching, minimap, and micromap. Shows unprinted whitespace and offers support for many encodings. Customizable hotkeys. Binary/Hex viewer for files of unlimited size (can show 10 Gb logs). -
47
yEdit2
Spacejock Software
It also includes a special .yedit2 file format, which is password-protected. You can put all your web logins, email accounts, etc in yEdit and then save them out in a password-protected file. (The contents of your files are not sent to, nor viewable by, Spacejock Software, and there is no magical backdoor to open your files if you lose your password.) There's also an Android version on the play store, currently available in public beta, and an iOS version is on the way. Due to play store/app store regulations, mobile versions will not have file encryption. -
48
Stenography
Stenography
No need to Google it. Hydrate responses with Stack Overflow Suggestions and documentation from across the web. Extensions, extensions, extensions. Wherever code can be found, Stenography integrates. Stenography uses a passthrough API and does not store code. Your code stays on your system. -
49
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. -
50
WebKing
VertMarkets
Today's dynamic websites are sophisticated n-tier software applications with web interfaces. Developers have been looking for the same supporting tools in web development that they normally use in other types of development. That's why we've created WebKing, a unique tool that allows developers to prevent and detect errors as they build n-tier web applications. WebKing takes testing techniques that have been proven to improve the quality of C/C++ and Java code and automatically applies them to dynamic web applications. Web developers can use WebKing to automate white-box, black-box, and regression testing as well as web-box testing, a new method of performing unit testing on dynamic pages.
