Best Application Development Software for Etheno

Find and compare the best Application Development software for Etheno in 2025

Use the comparison tool below to compare the top Application Development software for Etheno on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Docker Reviews
    Docker eliminates repetitive, tedious configuration tasks and is used throughout development lifecycle for easy, portable, desktop, and cloud application development. Docker's complete end-to-end platform, which includes UIs CLIs, APIs, and security, is designed to work together throughout the entire application delivery cycle. Docker images can be used to quickly create your own applications on Windows or Mac. Create your multi-container application using Docker Compose. Docker can be integrated with your favorite tools in your development pipeline. Docker is compatible with all development tools, including GitHub, CircleCI, and VS Code. To run applications in any environment, package them as portable containers images. Use Docker Trusted Content to get Docker Official Images, images from Docker Verified Publishings, and more.
  • 2
    Solidity Fuzzing Boilerplate Reviews
    Solidity Fuzzing boilerplate is a repository of templates designed to make it easier to fuzze components in Solidity projects. This includes libraries. Write your tests once and use them for both Echidna's and Foundry’s fuzzing. Etheno can be used to deploy components that are incompatible Solidity versions into a Ganache instance. Use HEVM’s FFI cheat codes to generate complex fuzzing outputs or to compare the outputs with non EVM executables when doing differential fuzzing. You can publish your fuzzing experiment without worrying about licensing if you extend the shell script to include specific files. If you do not intend to use shell commands in your Solidity contracts, turn off FFI. FFI is a slow solution and should only ever be used as a temporary workaround. It can be used to test against things that are hard to implement in Solidity but already exist in other programming languages. Be sure to check the commands being executed before executing tests on a project with FFI enabled.
  • 3
    Echidna Reviews
    Echidna is a Haskell program designed for fuzzing/property-based testing of Ethereum smart contracts. It uses sophisticated grammar based fuzzing campaigns, based on an ABI contract, to falsify user defined predicates or Solidity statements. Echidna was designed with modularity in the mind. It can be easily expanded to include new mutations, or test specific contracts for specific cases. It generates inputs that are tailored to your code. Use optional corpus collection, mutation and guidance to find deeper bugs. Powered by Slither, to extract useful information prior to the fuzzing campaigns. Source code integration for identifying which lines have been covered after the fuzzing campaign. Interactive terminal UI with text-only output or JSON. Automatic test case minimization to speed up triage. Integration into the development workflow is seamless. Reporting of maximum gas usage during the fuzzing campaign. Support for the complex contract initialization process with Etheno, Truffle.
  • 4
    JSON Reviews
    JSON (JavaScript Object Notation), is a lightweight format for data-interchange. It is easy to read and write. It is easy for machines and humans to generate and parse. It is based upon a subset the JavaScript Programming Language Standard ECMA-262 (3rd Edition - Dec 1999). JSON is a text format which is completely language-independent but still uses conventions familiar to programmers of the C family of languages. This includes C++, C# JavaScript, JavaScript, Perl and Python. These properties make JSON a great data-interchange language. JSON is built upon two structures: 1. A collection of name/value pair. This can be realized in many languages as an object, record or struct. 2. An ordered list of values. This can be expressed in most languages as an array, vector or list. These are universal data structures. They are supported by almost all modern programming languages in one way or another.
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