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No-Code Development Platforms
No-code development platforms provide a way for users to design, build, and develop software applications without the need for traditional coding. They are built in such a way that users can rely on simple visual interfaces with drag and drop type tools, allowing them to rapidly develop applications with minimal technical knowledge. This makes no-code development platforms ideal for any user regardless of programming experience, from hobbyists to entrepreneurs. Furthermore, modern no-code platforms allow complex mobile apps or web projects to be created more quickly than ever before.
Code Collaboration Tools
Code collaboration tools are platforms that enable developers to work together on software projects by facilitating real-time collaboration, version control, and code sharing. These tools allow multiple developers to edit and review code simultaneously, track changes, and manage different versions of code through branches and commits. Key features typically include code reviews, pull requests, conflict resolution, issue tracking, and integration with version control systems like Git. Code collaboration tools are essential for team-based development environments, ensuring smooth coordination and improving productivity in software projects.
QR Code Generators
QR code generators are tools that allow users to create quick response (QR) codes, which are machine-readable barcodes that store information such as URLs, text, contact details, or Wi-Fi credentials. These tools typically allow users to customize QR codes by changing their size, color, and design while ensuring the code remains scannable. QR code generators are commonly used for marketing, event registration, payments, product packaging, and contactless interactions. They help businesses and individuals provide an easy way for users to access digital content or services through their smartphones or other scanning devices.
Code Editors
Code editors are software tools that allow developers to write, edit, and debug source code for programming and web development. These editors provide essential features like syntax highlighting, code completion, auto-indentation, and error detection to enhance productivity and reduce coding errors. Many code editors also offer integrations with version control systems (like Git), debuggers, and build tools, allowing developers to manage their code and workflows efficiently. While some code editors are lightweight and focused solely on text editing, others offer extensive features and customization options through plugins and extensions. By providing a streamlined environment for coding, code editors are essential for software development, web development, and scripting tasks.
Code Review Tools
Code review tools are software tools designed to examine and analyze source code for errors, bugs, and vulnerabilities. They provide developers with detailed feedback on their code, highlighting areas that need improvement or optimization. These tools use a variety of techniques such as static analysis, unit testing, and peer review to ensure the quality and functionality of the code. In addition to identifying coding issues, they also help improve code security by detecting potential vulnerabilities or weaknesses in the code. Code review tools are an essential part of the development process for any software project.
Infrastructure as Code Software
Infrastructure as Code (IaC) tools are software solutions that enable developers and IT teams to automate the provisioning, configuration, and management of infrastructure using code. These tools allow users to define and manage infrastructure components like servers, databases, and networking resources through configuration files, ensuring consistency and repeatability in infrastructure setups. IaC tools typically support version control, enabling teams to track changes and collaborate on infrastructure management.
Code Search Engines
Code search engines are specialized search tools that allow developers to search through codebases, repositories, or libraries to find specific functions, variables, classes, or code snippets. These tools are designed to help developers quickly locate relevant parts of code, analyze code quality, and identify reusable components. Code search engines often support various programming languages, providing search capabilities like syntax highlighting, filtering by file types or attributes, and even advanced search options using regular expressions. They are particularly useful for navigating large codebases, enhancing code reuse, and improving overall productivity in software development projects.
Code Enforcement Software
Code enforcement software is software that helps local government agencies and municipalities manage and enforce building codes, zoning laws, and other regulatory compliance requirements. These platforms typically provide features for tracking violations, issuing citations, managing inspections, and automating the code enforcement process. Code enforcement software can also include tools for scheduling inspections, documenting findings, generating reports, and managing case histories. It helps ensure that properties comply with local laws and ordinances, improving efficiency and accountability in enforcement processes. Additionally, it allows for better communication between enforcement officers, residents, and other stakeholders.
Coding Challenge Platforms
Coding challenge platforms, also known as code assessment and technical skills testing platforms, enable developers and organizations to test their coding skills to see what skills need to be improved, or to determine the coding skills of a potential hire. Many coding challenge platforms also offer features like coding competitions, mock interviews, and collaboration opportunities for learning with others. These platforms are popular among job seekers, developers, and coding enthusiasts looking to enhance their problem-solving abilities.
Low-Code Development Platforms
Low-code development platforms are software tools designed to assist developers with the creation of software applications. They provide an alternate means to implementation, reducing the amount of manual coding that needs to be done. Platforms vary based on the type of application being created, enabling users to quickly build and deploy business applications without having extensive technical knowledge or software development experience. Features may include tools for visual modeling, integration connectors, and user interface components.
AI Coding Assistants
AI coding assistants are software tools that use artificial intelligence to help developers write, debug, and optimize code more efficiently. These assistants typically offer features like code auto-completion, error detection, suggestion of best practices, and code refactoring. AI coding assistants often integrate with integrated development environments (IDEs) and code editors to provide real-time feedback and recommendations based on the context of the code being written. By leveraging machine learning and natural language processing, these tools can help developers increase productivity, reduce errors, and learn new programming techniques.
Source Code Management Software
Source code management (SCM) software is a type of software to help developers track, manage, and version control their source code throughout the software development lifecycle. These tools allow multiple developers to collaborate on the same project by maintaining a centralized repository where code changes are stored and tracked. SCM software typically includes features like version control, branching, merging, and conflict resolution to ensure that code changes are properly managed and integrated. It also provides tools for tracking issues, auditing changes, and ensuring that all team members are working with the latest codebase. SCM software is essential for maintaining code integrity, improving collaboration, and enhancing productivity in development teams.
Code Coverage Tools
Code coverage tools are software utilities designed to analyze the source code of an application and report on the level of code that is tested by automated tests. They usually measure the percentage of lines, blocks, or branches of code that have been executed in a test suite. Many popular programming languages have their own code coverage tools available for developers to use.
Code Signing Software
Code signing software is a type of program that digitally signs code to ensure its authenticity and integrity. It verifies the identity of the author or publisher of the code, and helps protect users from malicious software by providing evidence that the code was not altered during transit. Code signing can be used for a variety of purposes, including software distribution, configuration management, and digital document authentication. It is an essential part of maintaining secure electronic communication between two parties.
Medical Coding Software
Medical coding software is a type of software used to classify various medical diagnoses and procedures in order to provide accurate reimbursement from insurance companies. It enables healthcare providers to code various patient treatments, tests, medications, or procedures for billing purposes. The software also helps them comply with industry regulations and guidelines as well as improve efficiency and accuracy in their billing process. It can be used for tracking patient records and managing claims efficiently. Furthermore, it offers support services such as online training courses for coders, ensuring that they stay updated on the latest developments in the field.
No Code Database Software
No code database platforms are tools that allow individuals to create and manage databases without needing to write any code. These platforms typically use drag-and-drop interfaces and pre-built templates to simplify the database creation process. They are designed for users with little to no technical background, making it easier for them to organize and store data. No code database platforms also offer features such as data visualization, automated backups, and collaborative capabilities, making it a versatile solution for various businesses and industries.
Vibe Coding Software
Vibe coding tools represent a shift in software development, using AI to convert natural language into functional code. These tools allow users to input human language prompts, moving away from traditional syntax and focusing on expressing the desired outcome. By lowering the barrier to entry, vibe coding tools make it easier for individuals without coding expertise to create software. For experienced developers, these tools automate repetitive tasks, boosting productivity and freeing up time for more complex problem-solving.
Code Snippet Managers
Code snippet managers are useful tools for organizing and managing code snippets. They enable users to store and share their code snippets efficiently, and provide a searchable library of existing code snippets. Depending on the platform chosen, users can also comment, tag, and version code snippets using these tools. Finally, many of these services offer both free and premium plans to fit all needs.
AI Code Generators
AI code generators are software tools that use artificial intelligence to automatically generate code based on user input or requirements, significantly reducing the time and effort required for software development. These platforms leverage machine learning algorithms and natural language processing (NLP) to understand user specifications and then generate the appropriate code. AI code generators often include features like auto-completion, error detection, and optimization suggestions, which help developers write cleaner, more efficient code faster. By using these tools, developers can streamline their coding process, improve productivity, and focus on higher-level tasks such as design and architecture.
AI Code Review Tools
AI code review tools are AI-powered software tools that automate the process of reviewing code by using artificial intelligence to detect bugs, vulnerabilities, and code quality issues. These tools analyze code for common errors, performance optimizations, and adherence to best practices, helping developers improve code efficiency and maintainability. They often integrate with version control systems, providing real-time feedback and suggestions as developers write and commit their code. By leveraging AI, these tools can also identify security risks, improve code consistency, and reduce the time spent on manual reviews. Ultimately, AI code review tools enhance development workflows by streamlining the review process and ensuring higher-quality software.
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22 Products for "coding" with 3 filters applied:

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  • 1
    CI Fuzz

    CI Fuzz

    Code Intelligence

    ...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. ...
    Starting Price: €30 per month
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  • 2
    Mayhem Code Security
    Thousands of autonomously generated tests run every minute to pinpoint vulnerabilities and guide rapid remediation. Mayhem takes the guesswork out of untested code by autonomously generating test suites that produce actionable results. No need to recompile the code, since Mayhem works with dockerized images. Self-learning ML continually runs thousands of tests per second probing for crashes and defects, so developers can focus on features. Continuous testing runs in the background to surface new defects and increase code coverage. ...
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  • 3
    Code Intelligence

    Code Intelligence

    Code Intelligence

    Our platform uses various security techniques, including coverage-guided and feedback-based fuzz testing, to automatically generate millions of test cases that trigger hard-to-find bugs deep within your application. This white-box approach protects against edge cases and speeds up development. Advanced fuzzing engines generate inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Uncover true vulnerabilities only. Get the input and stack trace as proof, so you can reliably reproduce errors every time. AI white-box testing uses data from all previous test runs to continuously learn the inner-workings of your application, triggering security-critical bugs with increasingly high precision.
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  • 4
    afl-unicorn

    afl-unicorn

    Battelle

    ...The Unicorn-based test harness loads the target code, sets up the initial state, and loads in data mutated by AFL from disk. The test harness then emulates the target binary code, and if it detects that a crash or error occurred it throws a signal. AFL will do all its normal stuff, but it’s actually fuzzing the emulated target binary code. Only tested on Ubuntu 16.04 LTS, but it should work smoothly with any OS capable of running both AFL and Unicorn.
    Starting Price: Free
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  • 5
    LibFuzzer

    LibFuzzer

    LLVM Project

    ...LibFuzzer is linked with the library under test, and feeds fuzzed inputs to the library via a specific fuzzing entry point (or target function); the fuzzer then tracks which areas of the code are reached, and generates mutations on the corpus of input data in order to maximize the code coverage. The code coverage information for libFuzzer is provided by LLVM’s SanitizerCoverage instrumentation. LibFuzzer is still fully supported in that important bugs will get fixed. The first step in using libFuzzer on a library is to implement a fuzz target, a function that accepts an array of bytes and does something interesting with these bytes using the API under test. ...
    Starting Price: Free
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  • 6
    Fuzzbuzz

    Fuzzbuzz

    Fuzzbuzz

    ...Get notified when bugs are found through Slack, GitHub, or email. Catch regressions as new changes are automatically tested and compared to previous runs. Code is built and instrumented by Fuzzbuzz as soon as a change is detected.
    Starting Price: Free
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  • 7
    Atheris

    Atheris

    Google

    Atheris is a coverage-guided Python fuzzing engine. It supports fuzzing of Python code, but also native extensions written for CPython. Atheris is based on libFuzzer. When fuzzing native code, Atheris can be used to catch extra bugs. Atheris supports Linux (32- and 64-bit) and Mac OS X, with Python versions 3.6-3.10. It comes with a built-in libFuzzer, which is fine for fuzzing Python code. If you plan to fuzz native extensions, you may need to build from source to ensure the libFuzzer version in Atheris matches your Clang version. ...
    Starting Price: Free
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  • 8
    Jazzer

    Jazzer

    Code Intelligence

    Jazzer is a coverage-guided, in-process fuzzer for the JVM platform developed by Code Intelligence. It is based on libFuzzer and brings many of its instrumentation-powered mutation features to the JVM. You can use Docker to try out Jazzer's autofuzz mode, which automatically generates arguments to a given Java function and reports unexpected exceptions and detected security issues. You can also use GitHub release archives to run a standalone Jazzer binary that starts its own JVM configured for fuzzing.
    Starting Price: Free
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  • 9
    Echidna

    Echidna

    Crytic

    ...We designed Echidna with modularity in mind, so it can be easily extended to include new mutations or test specific contracts in specific cases. Generates inputs tailored to your actual code. Optional corpus collection, mutation and coverage guidance to find deeper bugs. Powered by Slither to extract useful information before the fuzzing campaign. Source code integration to identify which lines are covered after the fuzzing campaign. Interactive terminal UI, text-only or JSON output. Automatic test case minimization for quick triage. ...
    Starting Price: Free
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  • 10
    ImmuneBytes

    ImmuneBytes

    ImmuneBytes

    ...If you're spending sleepless nights worrying about losing funds to hackers, choose from our stack of services, and bid farewell to all your fears. In-depth analysis of the code by industry veterans to detect the vulnerabilities in your smart contract. Our experts secure your blockchain applications by mitigating risks through security design, assessment, audit, and compliance services. Our independent team of prolific penetration testers performs an extensive exercise to detect vulnerabilities and system exploits. ...
    Starting Price: Free
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  • 11
    Honggfuzz
    Honggfuzz is a security-oriented software fuzzer. Supports evolutionary, feedback-driven fuzzing based on code coverage (SW and HW-based). It’s multi-process and multi-threaded, there’s no need to run multiple copies of your fuzzer, as Honggfuzz can unlock the potential of all your available CPU cores with a single running instance. The file corpus is automatically shared and improved between all fuzzed processes. It’s blazingly fast when the persistent fuzzing mode is used.
    Starting Price: Free
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  • 12
    API Fuzzer

    API Fuzzer

    Fuzzapi

    API Fuzzer allows to fuzz-request attributes using common pentesting techniques and lists vulnerabilities. API Fuzzer gem accepts an API request as input and returns vulnerabilities possible in the API. Cross-site scripting vulnerability, SQL injection, blind SQL injection, XML external entity vulnerability, IDOR, API rate limiting, open redirect vulnerabilities, information disclosure flaws, info leakage through headers, and cross-site request forgery vulnerability.
    Starting Price: Free
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  • 13
    BFuzz

    BFuzz

    RootUp

    ...BFuzz is a small script that enables you to open the browser and run test cases. The test cases in recurve are generated by the domato generator and contain the main script. It contains additional helper code for DOM fuzzing.
    Starting Price: Free
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  • 14
    APIFuzzer
    APIFuzzer reads your API description and step-by-step fuzzes the fields to validate if your application can cope with the fuzzed parameters, and it does not require coding. Parse API definition from a local file or remote URL. JSON and YAML file format support. All HTTP methods are supported. Fuzzing of the request body, query string, path parameter, and request header is supported. Relies on random mutations and supports CI integration. Generate JUnit XML test report format. Send a request to an alternative URL. ...
    Starting Price: Free
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  • 15
    hevm

    hevm

    DappHub

    ...The hevm command line program can symbolically execute smart contracts, run unit tests, interactively debug contracts while showing the Solidity source, or run arbitrary EVM code. Computations can be performed using a local state set up in a testing harness or fetched on demand from live networks using RPC calls. Run a symbolic execution against the given parameters, searching for assertion violations. One can also specialize specific arguments to a function signature while leaving others abstract. hevm uses an eager approach for symbolic execution, meaning that it will first attempt to explore all branches of the program.
    Starting Price: Free
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  • 16
    american fuzzy lop
    American fuzzy lop is a security-oriented fuzzer that employs a novel type of compile-time instrumentation and genetic algorithms to automatically discover clean, interesting test cases that trigger new internal states in the targeted binary. This substantially improves the functional coverage for the fuzzed code. The compact synthesized corpora produced by the tool are also useful for seeding other, more labor or resource-intensive testing regimes down the road. Compared to other instrumented fuzzers, afl-fuzz is designed to be practical, it has a modest performance overhead, uses a variety of highly effective fuzzing strategies and effort minimization tricks, requires essentially no configuration, and seamlessly handles complex, real-world use cases, say, common image parsing or file compression libraries. ...
    Starting Price: Free
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  • 17
    Defensics Fuzz Testing
    ...Advanced file and protocol template fuzzers enable users to build their own test cases. The SDK allows expert users to use the Defensics framework to develop their own test cases. Defensics is a black box fuzzer, meaning it doesn’t require source code to run. With Defensics, users can secure their cyber supply chain to ensure the interoperability, robustness, quality, and security of software and devices before introducing them into IT or lab environments. Defensics fits nearly any development workflow, whether in a traditional SDL or CI environment. Its API and data export capabilities also enable it to integrate with surrounding technologies, making it a true plug-and-play fuzzer.
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  • 18
    Wapiti

    Wapiti

    Wapiti

    Wapiti is a web application vulnerability scanner. Wapiti allows you to audit the security of your websites or web applications. It performs "black-box" scans (it does not study the source code) of the web application by crawling the webpages of the deployed web app, looking for scripts and forms where it can inject data. Once it gets the list of URLs, forms, and their inputs, Wapiti acts like a fuzzer, injecting payloads to see if a script is vulnerable. Search for potentially dangerous files on the server. Wapiti supports both GET and POST HTTP methods for attacks. ...
    Starting Price: Free
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  • 19
    Google OSS-Fuzz
    ...Projects that do not qualify for OSS-Fuzz can run their own instances of ClusterFuzz or ClusterFuzzLite. Currently, OSS-Fuzz supports C/C++, Rust, Go, Python, and Java/JVM code. Other languages supported by LLVM may work too. OSS-Fuzz supports fuzzing x86_64 and i386 builds.
    Starting Price: Free
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  • 20
    Ffuf

    Ffuf

    Ffuf

    Ffuf is a fast web fuzzer written in Go. You can also practice your Ffuf scans against a live host with different lessons and use cases either locally by using the Docker container or against the live-hosted version. Provides virtual host discovery (without DNS records). In order to tell Ffuf about different inputs to test out, a wordlist is needed. You can supply one or more wordlists on the command line, and in case you wish (or are using multiple wordlists) you can choose a custom keyword...
    Starting Price: Free
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  • 21
    go-fuzz

    go-fuzz

    dvyukov

    ...The function must return 1 if the fuzzer should increase the priority of the given input during subsequent fuzzing if the input must not be added to the corpus even if it gives new coverage, and 0 otherwise; other values are reserved for future use. The fuzz function must be in a package that go-fuzz can import. This means the code you want to test can't be in package main. Fuzzing internal packages is supported, however.
    Starting Price: Free
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  • 22
    Solidity Fuzzing Boilerplate
    ...Write tests once and run them with both Echidna and Foundry's fuzzing. Fuzz components that use incompatible Solidity versions by deploying those into a Ganache instance via Etheno. Use HEVM's FFI cheat code to generate complex fuzzing inputs or to compare outputs with non-EVM executables while doing differential fuzzing. Publish your fuzzing experiments without worrying about licensing by extending the shell script to download specific files. Turn off FFI if you don't intend to make use of shell commands from your Solidity contracts. ...
    Starting Price: Free
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