Alternatives to Understand

SMART TS XL is a sophisticated platform designed for enterprise-level application discovery and software intelligence, allowing organizations to efficiently search, analyze, and visualize interdependencies across diverse codebases, irrespective of their underlying platforms or programming languages. The platform processes a wide range of inputs, including source code, database schemas, configuration files, documentation, ticketing logs, and JCL, pulling from both legacy systems—like COBOL and AS/400—and contemporary environments such as Java, .NET, Python, and C++. By consolidating all these assets into a central, searchable repository, SMART TS XL harnesses patented indexing technology capable of analyzing millions to billions of lines of code, delivering results in mere seconds. This rapid response time empowers users to swiftly find specific fields, error messages, modules, or logic throughout the enterprise. Moreover, it offers dynamic visualizations, including control-flow diagrams and cross-reference graphs, thereby enhancing understanding and facilitating impact analysis across complex systems. This capability not only accelerates decision-making processes but also supports the efficient management of software assets across an organization.

Whether you're curious about the updates made to a legacy Cobol system during the 90s or seeking advanced strategies to enhance your current C# development project, Kuscos stands out as the preferred software intelligence platform. It offers development teams, managers, and executives vital insights into source code modules and team dynamics, covering aspects from design documentation to dependencies, duplicate code, and quality rule infringements. Additionally, Kuscos monitors team activities, tracking everything from repository commits to the resolution of issues. Remarkably, it achieves this across more than 16 different legacy and contemporary programming languages. As highlighted in a previous discussion, the Standish Group indicates that only 29% of software projects have been considered successful in meeting their time, budget, and functionality objectives over the last five years. Despite advancements in coding efficiency and design methodologies, overall improvements in project success rates have remained stagnant. This indicates a pressing need for better management tools, which Kuscos effectively addresses.

eXplain is a robust tool developed by PKS Software GmbH for code analysis and the assessment of legacy systems, specifically aimed at performing in-depth evaluations of legacy applications on mainframe platforms like IBM i (AS/400) and IBM Z. This software allows organizations to gain insights into their software's contents, structural integrity, and identifies components that may be retained, improved, or phased out. By importing existing source code into a standalone "eXplain server," the tool eliminates the necessity for installations on the host system, utilizing sophisticated parsers to scrutinize programming languages such as COBOL, PL/I, Assembler, Natural, RPG, and JCL, along with information pertaining to databases like Db2, Adabas, and IMS, as well as job schedulers and transaction monitors. eXplain creates a centralized repository that functions as a knowledge hub, from which it can produce cross-language dependency graphs, data-flow diagrams, interface evaluations, groupings of related modules, and comprehensive reports on object and resource usage. This enables users to visualize relationships within the code, enhancing their understanding of the software landscape. Ultimately, eXplain empowers organizations to make informed decisions regarding the future of their legacy systems.

Visual Expert is a static code analyzer for Oracle PL/SQL, SQL Server T-SQL and PowerBuilder. It identifies code dependencies to let you modify the code without breaking your application. It also scans your code to detect security flaws, quality, performance and maintenability issues. Identify breaking changes with impact analysis. Scan the code to find security vulnerabilities, bugs and maintenance issues. Integrate continuous code inspection in a CI workflow. Understand the inner workings and document your code with call graphs, code diagrams, CRUD matrices, and object dependency matrices (ODMs). Automatically generate source code documentation in HTML format. Navigate your code with hyperlinks. Compare two pieces of code, databases or entire applications. Improve maintainability. Clean up code. Comply with development standards. Analyze and improve database code performance: Find slow objects and SQL queries, optimize a slow object, a call chain, a slow SQL query, display a query execution plan.

Rocket Enterprise Analyzer serves as a sophisticated platform for application intelligence and static analysis, providing organizations with extensive insights into their intricate mainframe or legacy application portfolios. This tool thoroughly examines source code, databases, job schedulers, and system definitions, even when dealing with vast quantities of data, and it constructs a centralized repository that captures the complete application structure. By employing detailed dependency mapping, visualizations of control-flow and data-flow, impact analyses, and metrics on code usage, it uncovers the intricate connections among modules, data elements, and processes. The platform is compatible with languages and environments commonly found in mainframe and legacy systems, facilitating a high-level architectural understanding without the need for insights from the original developers or reliance on outdated documentation. Additionally, it features an AI-driven Natural Language Analysis Assistant, allowing developers to interact with the codebase using simple, everyday language queries, thereby streamlining the analysis process and enhancing productivity. This innovative approach not only simplifies the exploration of complex systems but also empowers teams to make informed decisions based on comprehensive, real-time data insights.

Identify connections between applications, predict code change impacts, understand complex Java and.NET codesbases, from API to database. With runtime and binary scans combined, create a complete graph of the app structure. Understanding the full impact of code changes before they are deployed allows you to accurately estimate the scope of your project. Your IDE can help you identify undetected software references and usages across projects and applications. Many tools, like IDEs, only reveal project-specific code dependencies. CodeLogic exposes hidden dependencies between applications and databases. Our approach is different. We combine binary scans and runtime profiling to create a searchable, real-time system of record for database dependencies and code. This intelligence allows application teams to see the impact of schema and code changes before they are deployed in production.

Reduce static code analysis time from 1000s to just minutes. Security vulnerabilities can be fixed across hundreds of repositories in a matter of minutes. Moderne automates code-remediation tasks, allowing developers to deliver more business value every day. Automate safe, sweeping codebase changes that improve quality, security, cost, and code quality. Manage dependencies in your software supply chain - keeping software up-to-date continuously. Eliminate code smells automatically, without the scanning noise of SAST or SCA tools. You will always work in high-quality code. It's the last shift for security. Modern applications naturally accumulate technical debt. They are made up of many codebases and software ecosystems, which include custom, third-party and open-source code. Maintaining your code has become more complicated due to software complexity.

The Code Registry is an innovative platform that harnesses AI for code intelligence and analysis, providing companies and non-technical users with complete insight into their software codebase, regardless of their coding experience. By linking your code repository—such as GitHub, GitLab, Bitbucket, or Azure DevOps—or by uploading a compressed archive, the platform establishes a secure "IP Vault" and conducts an extensive automated evaluation of the entire codebase. This analysis generates various reports and dashboards that include a code-complexity score to assess the intricacy and maintainability of the code, an open-source component evaluation that identifies dependencies, licensing issues, and outdated or vulnerable libraries, as well as a security assessment that pinpoints potential vulnerabilities, insecure configurations, or risky dependencies. Additionally, it provides a “cost-to-replicate” valuation, which estimates the resources and effort required to recreate or substitute the software entirely. Ultimately, the platform equips users with the necessary tools to enhance their understanding of code quality and security, thereby fostering more informed decision-making in software development.

Contemporary security teams are essentially creating a supportive environment for developers by implementing code guardrails with each commit. With the capabilities of r2c’s Semgrep, organizations can effectively eradicate classes of vulnerabilities across the board. Enhance the efficiency of your security team through the use of lightweight static analysis tools. Semgrep stands out as a rapid, open-source static analysis solution that simplifies the expression of coding standards without the need for complex queries, allowing for early detection of bugs in the development process. The rules are designed to mirror the code being analyzed, eliminating the challenges associated with navigating abstract syntax trees or dealing with regex complexities. You can easily get started with over 900 pre-existing rules and utilize SaaS infrastructure to receive quick feedback directly in your editor, at the time of commit, or within continuous integration environments. If the standard rules do not meet your specific needs, you can swiftly and easily craft custom rules that reflect your organization’s unique coding standards, with the syntax resembling the target code. For instance, rules tailored for Go are presented in a way that aligns closely with the Go language itself, enabling you to identify function calls, class and method definitions, and much more without the burden of abstract syntax trees or regex challenges. This approach not only streamlines the security process but also empowers developers to maintain high-quality code more efficiently.

CoreStory serves as an advanced code-intelligence platform that leverages artificial intelligence to delve into enterprise codebases, revealing the intricate business logic, architectural frameworks, and technical interdependencies present in older systems. By employing a method of recursive decomposition and recomposition, it simplifies complex applications to create a comprehensive intelligence model that includes business requirements, rules, workflows, system design, and insights at the code level. This interactive platform provides teams with real-time capabilities to inquire about their code, navigate entry points, trace connections, and visualize architecture diagrams, thereby expediting processes such as modernizing legacy applications, maintaining software, governing AI-generated code, and onboarding developers. Additionally, CoreStory facilitates integration through API/MCP with essential engineering systems, allowing for the creation of visual dashboards, such as a business-process explorer, architecture explorer, and code entry-point explorer, further enhancing the user experience and operational efficiency. Ultimately, CoreStory empowers organizations to harness their legacy systems more effectively and make informed decisions regarding their technological infrastructure.

vFunction revitalizes Java applications while streamlining the transition to the cloud. It enables the swift and automatic extraction of efficient microservices from intricate monolithic systems. The platform offers a unified interface that oversees and monitors comprehensive cloud migration and modernization initiatives across an entire application portfolio. Its modernization dashboard orchestrates the complete migration process, facilitating decisions on whether to refactor, retain, retire, replatform, or rewrite applications. While your cloud transformation efforts are progressing, challenges remain in advancing application modernization endeavors. It’s essential to assist teams in overcoming obstacles and accelerating their progress. With the mounting demand for modernization, relying solely on lift and shift strategies is insufficient. These legacy applications present significant challenges for refactoring, yet leveraging automation and analytics can simplify the modernization of even the most complicated applications. Embrace the opportunity to tackle more intricate projects with confidence, knowing that you have the right tools at your disposal.

You can quickly identify cross-code dependencies, and navigate between files and directories. This tool will help you gain a better understanding of the codebase. It will also guide you in planning, reviewing, and onboarding. Software architecture diagrams that automatically update and sync with the codebase. You can use these features to understand how files and folders connect, and how a change fits into the larger architecture. CodeSee Maps are automatically generated when a code change is merged. This means that you don't have to manually refresh your Map. You can quickly see the most active areas in the codebase. You can also get information on each file and folder, including their age and number of lines of code. Tour Alerts can help you keep your Tours up-to-date by allowing you to create visual walkthroughs of your code using Tours.

Sourcetrail serves as an interactive tool designed to enhance the exploration of existing source code by systematically indexing it and collecting information about its architecture. This tool offers a user-friendly interface composed of three dynamic views, each essential for accessing the necessary information efficiently. The Search feature enables users to swiftly locate and choose indexed symbols within the source code. An autocompletion box appears, providing an immediate overview of all relevant results found throughout the entire codebase. The Graph view visualizes the arrangement of your source code, emphasizing the currently selected symbol while illustrating its incoming and outgoing dependencies with other symbols. Meanwhile, the Code view lists all the source locations tied to the selected symbol through various code snippets, and clicking on any listed location allows users to shift their selection for a more in-depth analysis. Overall, Sourcetrail significantly streamlines the process of understanding complex code structures.

Gain an in-depth insight into your software through Embold's detailed analysis and user-friendly visuals. With these intuitive graphics, you can clearly grasp the size and quality of each component, allowing for an immediate comprehension of your software's overall condition. Dive into issues at the component level using informative annotations that pinpoint their exact locations within your codebase. Explore the entire web of dependencies among your software components, gaining insight into how they interact and affect one another. Our innovative partitioning algorithms enable you to swiftly identify opportunities for refactoring and breaking down complex components. The EMBOLD SCORE, derived from four key dimensions, highlights which components significantly impact overall quality and should be prioritized for resolution first. Furthermore, assess your code’s structural integrity utilizing our distinctive collection of anti-patterns, applicable at class, functional, and method levels. Embold also incorporates various metrics, including cyclomatic complexity and coupling between objects, to comprehensively evaluate the quality of your software systems. This multifaceted approach ensures that you are equipped with the necessary tools for maintaining high-quality code.

CodeDD is an AI-powered platform that revolutionizes technical Due Diligence by automating comprehensive audits of software codebases, enhancing security through increased transparency. Designed for M&A professionals, investment managers, and software procurement teams, CodeDD provides a self-service solution to evaluate internal or external code stacks efficiently. Utilizing advanced Large Language Models, the platform generates easy-to-understand, actionable reports that replace costly and time-consuming manual reviews. Users can audit any repository with a detailed assessment across more than 40 quality metrics to gauge software integrity and maintainability. The system identifies security vulnerabilities, providing detailed flagging and estimated remediation times to help prioritize fixes. CodeDD also analyzes project dependencies, giving insights into licenses and potential risks from over 2 million software packages. File-level insights offer a granular overview of the codebase while maintaining confidentiality by not exposing actual code. Overall, CodeDD provides a fast, cost-effective, and reliable way to perform technical Due Diligence with clarity and precision.

Sita reduces AI expenditures by 30% and allows developers to save 25 hours each month through the automation of search and documentation processes. By transforming code, messages, and documentation into a comprehensive knowledge graph, it delivers only the pertinent information to your coding tools, resulting in a 32% reduction in input tokens. Furthermore, Sita ensures that your documentation remains current and facilitates the release of features at a speed that's 37% faster while also decreasing the number of bugs by 68%. The onboarding process is streamlined with premium support, taking just one hour. Notably, Sita is compatible with your existing tools and can enhance their capabilities using MCP or its own agent, making integration seamless and efficient. This innovative approach not only optimizes performance but also significantly improves overall productivity in development workflows.

CppDepend serves as a robust code analysis solution specifically designed for C and C++ programming languages, aimed at aiding developers in the upkeep of intricate code repositories. It boasts an extensive array of functionalities that promote code quality, including static code analysis, which plays a critical role in uncovering potential coding problems like memory leaks, suboptimal algorithms, and breaches of coding conventions. One of CppDepend's significant features is its adherence to established coding standards such as Misra, CWE, CERT, and Autosar. These guidelines are essential across various sectors, especially in the creation of dependable and secure software for automotive, embedded, and other high-reliability environments. By conforming to these standards, CppDepend contributes to the assurance that the code meets industry-specific safety and reliability benchmarks. Additionally, the tool's seamless integration with widely-used development environments, along with its compatibility with continuous integration processes, positions it as an indispensable resource in agile development practices. This versatility enables teams to enhance their productivity while ensuring adherence to high-quality coding standards throughout the software development lifecycle.

EasyCode is an AI tool designed to comprehend your codebase. It empowers developers by providing immediate answers to their inquiries. Benefit from context-aware code recommendations, gain insights into legacy projects, and effortlessly locate the pertinent code. Integrate ChatGPT directly into your IDE for seamless access. This enables contextual responses and suggestions that streamline the developer's workflow. Maintain a uniform coding style while receiving instantaneous feedback on the quality of your code. By reducing time spent on monotonous tasks, developers can dedicate more time to impactful coding assignments. Additionally, it promotes enhanced context and knowledge sharing within teams, fostering collaboration and efficiency. This ultimately leads to a more productive development environment.

DeltaForce is a robust application analytics platform that offers in-depth insights into enterprise applications and databases. By utilizing automated knowledge bases for intricate applications built on various languages and technologies, DeltaForce helps organizations enhance development and maintenance efficiency. The tool leverages patented technology to automatically import and scrutinize both source files and database schemas, effectively identifying the detailed object-level dependencies that exist between them. Furthermore, DeltaForce operates based on fundamental user input configurations, eliminating the need for users to manually track dependency information. This functionality allows for seamless imports and analyses of both source files and database schemas, facilitating the mapping of relationships within a program. With DeltaForce, organizations can streamline their application management processes and enhance overall productivity.

Biome serves as an all-encompassing toolkit for web development, equipping users with efficient formatting and linting for languages like JavaScript, TypeScript, JSX, TSX, JSON, CSS, and GraphQL. Its formatting feature boasts a remarkable 97% compatibility with Prettier, allowing for swift code adjustments that can rectify flawed code in real time across various text editors. The linting component includes more than 270 rules derived from ESLint, TypeScript ESLint, and additional sources, delivering thorough and contextual diagnostics that aid developers in improving code quality and following established best practices. Constructed using Rust, Biome guarantees outstanding speed and efficiency, enabling it to format large codebases at a pace that outstrips many similar tools. It is meticulously crafted for smooth integration into development workflows, providing a cohesive solution for both code formatting and linting without requiring extensive setup. Additionally, Biome is adept at managing projects of any scale, allowing developers to concentrate on advancing their products rather than getting caught up in tool management. Ultimately, it empowers teams to enhance their coding standards while maximizing productivity.

Jedi serves as a static analysis tool for Python, commonly integrated into IDEs and editor plugins. Its primary emphasis lies in providing autocompletion and navigation features, while it also encompasses additional capabilities such as code refactoring, search, and reference identification. The tool is designed with a straightforward API, making it user-friendly for developers. A reference implementation exists as a plugin for VIM, and autocompletion can be utilized in REPL environments; specifically, IPython incorporates it by default, and it can also be set up for the CPython REPL. Jedi boasts robust testing, leading to infrequent bugs, which enhances its reliability. The foundational element for functionalities like completions and navigation in Jedi is the Script class, while the Interpreter class operates with actual dictionaries and is suitable for REPL interactions. This Interpreter class is particularly beneficial when users are actively editing code within an editor environment. Additionally, most methods require parameters for both line and column, with Jedi adhering to a 1-based indexing system for lines and a zero-based system for columns, although this distinction is not consistently documented to prevent redundancy. Consequently, Jedi stands out as a versatile tool that streamlines the coding process for Python developers.

AI Graph Maker is an efficient tool designed for the rapid creation of clean, interactive data visualizations with minimal hassle. It accommodates a diverse range of chart and diagram types, including pie, bar, line, radar, Gantt, funnel, treemap, mind maps, flowcharts, org charts, knowledge graphs, timelines, and beyond, allowing for effective visual representation of hierarchical, categorical, temporal, or network data. Users can either upload their raw data or input it directly, and in some cases, simply use natural-language prompts, as the AI takes care of converting it into refined charts; the design, formatting, and layout are automatically managed, while still providing options for further customization. The user interface is designed to be intuitive and responsive, ensuring compatibility across various devices, and graphs can be exported in multiple formats, such as PNG, SVG, and others that are compatible with various editing tools for additional manipulation or embedding. The system is built with simplicity in mind, requiring no coding skills, and it guarantees quick delivery of visually clear and customizable outputs. This makes it an ideal choice for both novices and professionals aiming to visualize their data effortlessly.

For more than three decades, Helix QAC has established itself as a reliable static code analyzer specifically designed for C and C++ programming languages. Renowned for its thoroughness and precision, Helix QAC has become the go-to choice in highly regulated and safety-sensitive sectors that must adhere to strict compliance standards. This often entails ensuring alignment with coding standards like MISRA and AUTOSAR, as well as functional safety regulations such as ISO 26262. The tool boasts TÜV-SÜD certification for functional safety compliance, encompassing standards like IEC 61508, ISO 26262, EN 50128, IEC 60880, and IEC 62304. Furthermore, it holds ISO 9001 | TickIT plus Foundation Level certification, a widely recognized standard that guarantees not only the fulfillment of requirements but their surpassing as well. By allowing users to prioritize coding issues according to risk severity, Helix QAC enables efficient targeting of critical defects through various tools, including filters, suppressions, and baselines, enhancing overall code quality and safety. This commitment to excellence solidifies Helix QAC's reputation as an essential asset in the development process.

Axivion empowers developers to maintain clean, secure, and high-quality C, C++, and CUDA codebases. It automatically detects coding standard violations, security vulnerabilities, dead code, and code clones, while providing actionable guidance and in-depth analytics. Its architecture verification capabilities help maintain modularity and consistency in complex projects. Used extensively in safety-critical and high-reliability industries, Axivion supports standards like MISRA, ISO 26262, and IEC 61508. Integration into CI/CD pipelines and detailed reporting enables developers to detect defects early, reduce rework, and improve code quality, making Axivion an essential tool for teams building reliable, certifiable, high-performance software.

yFiles is a versatile library for graph and network visualization and analysis. It offers powerful rendering, editing, and automatic layout features for complex diagrams—including organizational charts, flowcharts, and IT infrastructures. With advanced layout algorithms and robust interactivity, yFiles helps developers build scalable, clear visualizations across web, desktop, and mobile platforms. Supporting HTML/JavaScript, Java, and .NET, it’s widely used in industries like telecommunications, finance, and life sciences to clarify complex processes and data relationships. yFiles is the most capable and mature graph visualization SDK available commercially. The company behind yFiles was founded in 2000. yWorks has brought together graph visualization techniques and algorithms from academia, making it available to software developers to integrate perfect diagramming into their applications.

CAST Imaging transforms software understanding by automatically reconstructing and visualizing the full architecture of an application from the source code. It identifies every object, interface, data structure, framework, and dependency across more than 150 technologies. AI-driven summaries highlight how transactions execute, where components interact, and where structural flaws or modernization opportunities exist. Teams can model "what-if" scenarios, evaluate change impact, and validate architectural design before any code is touched. CAST Imaging also accelerates cloud and microservices transformations by exposing decoupling candidates and hidden interdependencies. Developers, architects, and onboarding teams gain a single source of truth that replaces outdated documentation and tribal knowledge. Whether deployed on cloud or on-premises, it offers a secure, scalable environment for deep analysis. CAST Imaging ultimately helps organizations modernize faster, reduce rework, and govern software quality with clarity and precision.

The LDRA tool suite stands as the premier platform offered by LDRA, providing a versatile and adaptable framework for integrating quality into software development from the initial requirements phase all the way through to deployment. This suite encompasses a broad range of functionalities, which include requirements traceability, management of tests, adherence to coding standards, evaluation of code quality, analysis of code coverage, and both data-flow and control-flow assessments, along with unit, integration, and target testing, as well as support for certification and regulatory compliance. The primary components of this suite are offered in multiple configurations to meet various software development demands. Additionally, a wide array of supplementary features is available to customize the solution for any specific project. At the core of the suite, LDRA Testbed paired with TBvision offers a robust combination of static and dynamic analysis capabilities, along with a visualization tool that simplifies the process of understanding and navigating the intricacies of standards compliance, quality metrics, and analyses of code coverage. This comprehensive toolset not only enhances software quality but also streamlines the development process for teams aiming for excellence in their projects.

CAST Highlight is a rapid software intelligence platform that delivers portfolio-level insights in minutes, helping organizations understand the true condition and modernization readiness of their applications. It evaluates every codebase for technical debt, fragility, resiliency gaps, cloud blockers, open-source vulnerabilities, and IP risk using automated code scanning and industry benchmarks. The platform distinguishes between structural issues that require remediation and low-impact debt that can be safely tolerated, enabling smarter investment decisions. CAST Highlight automatically identifies ideal migration paths to cloud-native services, complete with estimated effort and blockers to address. It also evaluates software sustainability by tracing code inefficiencies and estimating related CO₂ impact, allowing teams to prioritize greener development choices. Security, compliance, and third-party component risks are surfaced within minutes, not months. With clear dashboards and board-ready reporting, executives can instantly quantify progress, validate architectures, and track transformation KPIs. CAST Highlight empowers enterprises to modernize faster, cut risk, and strategically steer their software portfolios with evidence—not assumptions.

DevSecOps Next Generation - Securing Your Binaries. Identify security flaws and license violations early in development and block builds that have security issues before deployment. Automated and continuous auditing and governance of software artifacts throughout the software development cycle, from code to production. Additional functionalities include: - Deep recursive scanning components, drilling down to analyze all artifacts/dependencies and creating a graph showing the relationships between software components. - On-Prem or Cloud, Hybrid, Multi-Cloud Solution - An impact analysis of how one issue in a component affects all dependent parts with a display chain displaying the impacts in a component dependency diagram. - JFrog's vulnerability database is continuously updated with new component vulnerabilities data. VulnDB is the industry's most comprehensive security database.

You can save time and money by finding and fixing problems earlier. You can reduce the time and expense of delivering high quality software by avoiding costly and more complex problems later. Ensure that your C# and VB.NET codes comply with a wide variety of safety and security industry standards. This includes the requirement traceability required and the documentation required for verification. Parasoft's C# tool, Parasoft dotTEST automates a wide range of software quality practices to support your C# or VB.NET development activities. Deep code analysis uncovers reliability issues and security problems. Automated compliance reporting, traceability of requirements, code coverage and code coverage are all key factors in achieving compliance for safety-critical industries and security standards.

JSON Crack is a versatile open-source application that converts intricate data formats like JSON, YAML, CSV, XML, and TOML into engaging and easy-to-understand graphs, thereby facilitating better data analysis and understanding. Users have the flexibility to enter data directly, upload files, or provide links, with the platform seamlessly creating a visual tree graph based on the input. Additionally, it offers capabilities for transforming data between various formats, such as converting JSON to CSV or XML to JSON, while also incorporating functions for JSON formatting, validation, and automatic code generation for TypeScript interfaces, Golang structs, and JSON Schemas. Furthermore, it features sophisticated tools for decoding JWTs, executing JQ queries, and running JSON Path commands. Users can conveniently export their visualizations in formats like PNG, JPEG, or SVG, and importantly, all data processing takes place locally on the user's device to maintain privacy. This comprehensive tool not only enhances usability but also empowers users to handle their data in a secure and efficient manner, making it an invaluable resource for developers and data analysts alike.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/

Detect and address code and optimization challenges in real-time, mitigate data incidents before deployment, and oversee data-affecting code modifications comprehensively—from the operational database to the user interface dashboard. With automated, column-level data lineage tracing the journey from the operational database to the reporting layer, every dependency is meticulously examined. Foundational automates the enforcement of data contracts by scrutinizing each repository in both upstream and downstream directions, directly from the source code. Leverage Foundational to proactively uncover code and data-related issues, prevent potential problems, and establish necessary controls and guardrails. Moreover, implementing Foundational can be achieved in mere minutes without necessitating any alterations to the existing codebase, making it an efficient solution for organizations. This streamlined setup promotes quicker response times to data governance challenges.

Brokk is an innovative AI-driven code assistant designed to manage extensive and intricate codebases by equipping language models with a deep, compiler-grade comprehension of code organization, meaning, and interdependencies. It facilitates effective context management by selectively integrating summaries, diffs, or complete files into a workspace, allowing the AI to focus on pertinent sections of a codebase that may contain millions of lines instead of processing everything at once. With features such as Quick Context, which recommends files based on their embeddings and structural significance; Deep Scan, which employs advanced models to identify files that require editing or further summarization; and Agentic Search, which provides a multi-step exploration of symbols, call graphs, or usages throughout the project, Brokk enhances the coding experience significantly. Its architecture is rooted in static analysis through Joern, enabling type inference that extends beyond basic Abstract Syntax Trees (ASTs), while JLama is utilized for rapid embedding inference to assist with context modifications. Offered as an independent Java application rather than a plugin for an Integrated Development Environment (IDE), Brokk permits users to oversee AI-driven workflows with clarity and precision, ensuring a more streamlined development process overall. This unique approach empowers developers to navigate complex codebases with greater ease and efficiency.

The PITSS.CON tool serves as a comprehensive platform for analyzing and transforming legacy code. Reach out to us to discover how PITSS.CON can help you optimize your existing legacy applications. Gain a thorough understanding of your Oracle Forms and Reports applications at a fundamental level. Our static code analysis tool can swiftly and precisely assess Oracle Forms and Reports applications of varying sizes and complexities, enabling businesses to eliminate uncertainty and mitigate risks associated with application development and upkeep. Leveraging Oracle’s API alongside the capabilities of our centralized data repository, our static code analysis tool conducts a rapid and in-depth examination of even the most intricate applications, ensuring that organizations have the insights they need for effective management and modernization. With PITSS.CON, you can ensure that your legacy systems are not just maintained, but also improved for future demands.

Leverage the language-specific syntax and error highlighting, along with features like code formatting, completion, and instant documentation to enhance your coding experience. Utilize intelligent search to swiftly navigate to any class, file, symbol, or even specific IDE actions and tool windows. With just one click, you can access declarations, super methods, tests, usages, implementations, and more. Experience incredibly fast navigation within your Rails project, supported by an MVC-based project view, as well as diagrams illustrating model, class, and gem dependencies. Adhere to community best practices through code inspections that validate your code for various potential issues, offering immediate improvements via quick-fix options. Automated refactorings ensure that your code remains clean and maintainable, while Rails-aware features facilitate project-wide modifications: for instance, renaming a controller will automatically adjust the corresponding helper, views, and tests. This comprehensive set of tools allows for a more efficient workflow, enabling developers to focus on building robust applications without getting bogged down by mundane tasks.

Software projects are often complex. The law of entropy makes it more complicated. Developers easily get lost in the dependency network, and they tend to create designs that don't stand the test of time. Softagram automatically illustrates how dependencies change. Automated integration allows you to decorate pull requsts in GitHub, Bitbucket and Azure DevOps with a dependency report. This report pops up as a comment within the tool you use. The analysis also includes other aspects, such as open source licenses or quality. You can customize it to meet your needs. Softagram Desktop app, which is designed for advanced software understanding as well as auditing software usage, can also be used to efficiently perform software audits.

Static analysis is a valuable technique for identifying possible problems within your code by examining it at the source code level. C-STAT offers nearly 700 different checks, many of which adhere to guidelines outlined in MISRA C:2012, MISRA C++:2008, and MISRA C:2004, in addition to more than 250 checks that correspond to issues recognized by CWE. Furthermore, it assesses adherence to the CERT C coding standard, which focuses on secure coding practices. C-STAT operates swiftly and provides extensive and detailed error reports, allowing for effective troubleshooting. There’s no need to be concerned about complicated tool configurations or dealing with language support and overarching build challenges. Fully integrated into the IAR Embedded Workbench IDE, C-STAT empowers you to effortlessly maintain code quality throughout your development processes. This tool is compatible with a wide range of IAR Embedded Workbench products. By utilizing static analysis, not only can potential code issues be detected, but it also facilitates compliance with established industry coding standards. Ultimately, this enhances overall software reliability and maintainability.

Coverity Static Analysis serves as an all-encompassing solution for code scanning, assisting both developers and security teams in producing superior software that meets security, functional safety, and various industry standards. It efficiently detects intricate defects within large codebases, pinpointing and addressing quality and security concerns that may arise across multiple files and libraries. Coverity ensures adherence to numerous standards such as OWASP Top 10, CWE Top 25, MISRA, and CERT C/C++/Java, and offers comprehensive reports that help in monitoring and prioritizing issues. By utilizing the Code Sight™ IDE plugin, developers benefit from immediate feedback, including insights on CWE and instructions for remediation, directly integrated into their development settings, which helps to weave security practices seamlessly into the software development lifecycle while maintaining developer productivity. This tool not only contributes to enhanced code integrity but also fosters a culture of continuous improvement in software security practices.

PT Application Inspector stands out as the sole source code analyzer that offers top-tier analysis along with efficient tools for the automatic verification of vulnerabilities, which greatly accelerates the report handling process and enhances collaboration between security experts and developers. By integrating static, dynamic, and interactive application security testing (SAST + DAST + IAST), it achieves results that are unmatched in the industry. This tool focuses exclusively on genuine vulnerabilities, allowing users to concentrate on the critical issues that truly require attention. Its distinctive features, such as precise detection, automatic validation of vulnerabilities, filtering capabilities, incremental scanning, and an interactive data flow diagram (DFD) for each identified vulnerability, significantly expedite the remediation process. By minimizing vulnerabilities in the end product, it also reduces the associated repair costs. Furthermore, it enables analysis to be conducted at the earliest phases of software development, ensuring that security is prioritized from the start. This proactive approach not only streamlines development but also enhances the overall quality and security of applications.

BlueOptima has pioneered the introduction of objective metrics necessary for effectively managing software development processes. For the first time, the company offers transparent metrics that enhance the management of software development resources through automation, standardization, and impartiality. The analytics platform created by BlueOptima enables software developers and organizations to produce superior software while maximizing both time and cost efficiency. As a groundbreaking solution in the industry, BlueOptima presents insights derived from the only objective metrics of software developer productivity in existence: Actual Coding Effort. This innovation represents a significant advancement in the realm of software development. The SaaS platform offered by BlueOptima allows for comprehensive analysis of productivity alongside quality within enterprise software development, covering aspects such as individuals, teams, tasks, projects, divisions, and external suppliers. By recognizing performance variations throughout an organization, managers are better equipped to enhance overall efficiency. Furthermore, BlueOptima has demonstrated the capability to uncover savings that can reach as high as 20% of budgets, making it an invaluable tool for optimizing resource allocation in software projects. This makes BlueOptima not only a leader in its field but also a critical partner for companies aiming to refine their development processes.

Validate modifications across numerous supported resource types in all leading cloud service providers. Conduct scans of cloud resources during the build phase to identify misconfigured settings using a straightforward Python policy-as-code framework. Examine the connections between cloud resources through Checkov’s graph-oriented YAML policies. Run, test, and adjust runner parameters within the context of a specific repository's CI/CD processes and version control systems. Customize Checkov to create your own unique policies, providers, and suppression terms. Avoid the deployment of misconfigurations by integrating this process into the current workflows of developers. Facilitate automated annotations on pull or merge requests in your repositories, eliminating the need to establish a CI pipeline or perform routine checks. The Bridgecrew platform will automatically review new pull requests and provide comments highlighting any policy violations it uncovers, ensuring continuous compliance and security improvements in your cloud infrastructure. This proactive approach helps maintain best practices and enhances the overall security posture of your cloud environment.

Software Ideas Modeler serves as a vital resource for professionals in the field of software engineering. This comprehensive CASE tool provides an array of features that assist in software design through various diagram types and modeling capabilities. You can explore our UML modeler, ERD designer, flowchart creator, wireframing tools, and BPMN editor without any cost. Each diagramming module is tailored to address specific tasks within its respective domain. With tools for UML diagrams, Layer diagrams, Flowcharts, and Data Flow Diagrams, among others, you can effectively design your software or its essential components. Additionally, our documentation and glossary features facilitate clear communication of your design concepts. Utilize Advanced Use Case analysis or User Stories to methodically process user requirements based on your preferred approach. Furthermore, the code analytic tools allow you to convert code into diagrams for various popular programming languages. You can also generate source code scaffolds and individual code segments through our source code generators, which can be customized with specific code templates. By incorporating these tools, you can enhance both your design process and overall software development efficiency.

Keepsake is a Python library that is open-source and specifically designed for managing version control in machine learning experiments and models. It allows users to automatically monitor various aspects such as code, hyperparameters, training datasets, model weights, performance metrics, and Python dependencies, ensuring comprehensive documentation and reproducibility of the entire machine learning process. By requiring only minimal code changes, Keepsake easily integrates into existing workflows, permitting users to maintain their usual training routines while it automatically archives code and model weights to storage solutions like Amazon S3 or Google Cloud Storage. This capability simplifies the process of retrieving code and weights from previous checkpoints, which is beneficial for re-training or deploying models. Furthermore, Keepsake is compatible with a range of machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, and XGBoost, enabling efficient saving of files and dictionaries. In addition to these features, it provides tools for experiment comparison, allowing users to assess variations in parameters, metrics, and dependencies across different experiments, enhancing the overall analysis and optimization of machine learning projects. Overall, Keepsake streamlines the experimentation process, making it easier for practitioners to manage and evolve their machine learning workflows effectively.

Coco is a comprehensive code coverage solution designed for modern software development across both embedded systems and desktop applications. It empowers developers, QA engineers, and compliance teams to measure and improve test coverage through function, branch, decision, condition, and MC/DC coverage metrics. With support for multiple languages and toolchains—including GCC, Clang, MSBuild, ARM, QNX, and Green Hills—Coco integrates seamlessly into existing CI/CD workflows without requiring code refactoring. Teams can quickly detect coverage gaps, streamline regression testing, and remove redundant test cases to shorten validation cycles. For regulated industries like automotive, aerospace, and healthcare, Coco delivers qualification kits and pre-built certification artifacts to support ISO 26262 and DO-178C compliance. The Coco Cross-Compilation Add-on extends capabilities to embedded Linux, RTOS, and bare-metal targets, offering full traceability from test execution to certification. Its integration with Test Center provides real-time analytics, visualization, and organization-wide reporting for test intelligence. With Coco, development teams gain transparency, speed, and trust in every release cycle.