Crowdin
Get quality translations for your app, website, game, supporting documentation, and on. Invite your own translation team or work with professional translation agencies within Crowdin.
Features that ensure quality translations and speed up the process
• Glossary – create a list of terms to get consistent translations
• Translation Memory (TM) – no need to translate identical strings
• Screenshots – tag source strings to get context-relevant translations
• Integrations – set up integration with GitHub, Google Play, API, CLI, Android Studio, and on
• QA checks – make sure that all the translations have the same meaning and functions as the source strings
• In-Context – proofreading within the actual web application
• Machine Translations (MT) – pre-translate via translation engine
• Reports – get insights, plan and manage the project
Crowdin supports more than 30 file formats for mobile, software, documents, subtitles, graphics and assets:
.xml, .strings, .json, .html, .xliff, .csv, .php, .resx, .yaml, .xml, .strings and on.
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Cerberus FTP Server
Cerberus FTP Server provides a secure and reliable file transfer solution for the demanding IT professional. Supporting SFTP and SCP, FTP/S, and HTTP/S, Cerberus is able to authenticate against Active Directory and LDAP, run as a Windows service, has native x64 support, includes a robust set of integrity and security features and offers an easy-to-use manager for controlling user access to files and file operations.
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LibFuzzer
LibFuzzer serves as an in-process, coverage-guided engine for evolutionary fuzzing. By being linked directly with the library under examination, it injects fuzzed inputs through a designated entry point, or target function, allowing it to monitor the code paths that are executed while creating variations of the input data to enhance code coverage. The coverage data is obtained through LLVM’s SanitizerCoverage instrumentation, ensuring that users have detailed insights into the testing process. Notably, LibFuzzer continues to receive support, with critical bugs addressed as they arise. To begin utilizing LibFuzzer with a library, one must first create a fuzz target—this function receives a byte array and interacts with the API being tested in a meaningful way. Importantly, this fuzz target operates independently of LibFuzzer, which facilitates its use alongside other fuzzing tools such as AFL or Radamsa, thereby providing versatility in testing strategies. Furthermore, the ability to leverage multiple fuzzing engines can lead to more robust testing outcomes and clearer insights into the library's vulnerabilities.
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Echidna
Echidna is a Haskell-based tool created for fuzzing and property-based testing of Ethereum smart contracts. It employs advanced grammar-driven fuzzing strategies that leverage a contract's ABI to challenge user-defined predicates or Solidity assertions. Designed with a focus on modularity, Echidna allows for easy extensions to incorporate new mutations or to target specific contracts under particular conditions. The tool generates inputs that are specifically adapted to your existing codebase, and it offers optional features for corpus collection, mutation, and coverage guidance to uncover more elusive bugs. It utilizes Slither to extract critical information prior to launching the fuzzing process, ensuring a more effective campaign. With source code integration, Echidna can pinpoint which lines of code are exercised during testing, and it provides an interactive terminal UI along with text-only or JSON output formats. Additionally, it includes automatic test case minimization for efficient triage and integrates seamlessly into the development workflow. The tool also reports maximum gas usage during fuzzing activities and supports complex contract initialization through Etheno and Truffle, enhancing its usability for developers. Ultimately, Echidna stands out as a robust solution for ensuring the reliability and security of Ethereum smart contracts.
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