Giter Site home page Giter Site logo

leobago / armiarma Goto Github PK

View Code? Open in Web Editor NEW

This project forked from migalabs/armiarma

0.0 0.0 0.0 16.64 MB

Armiarma is a Eth2 network Analyzer based on the Rumor client debugger.

License: MIT License

Python 14.58% Shell 3.11% Go 82.11% HTML 0.09% Dockerfile 0.10%

armiarma's Introduction

armiarma

Armiarma is a Eth2 network Analyzer based on the Rumor client debugger. The current version of Armiarma is based on the latest update on Rumor on its commit.

Requisites

To use the tool the following tools needs to be installed on the machine:

  • Go on its 1.15 version or above. Go needs to be executable from the terminal and despite previous versions might work, we recomend ussing the 1.15 for a better preformance of the crawler. The current dv5.1 version will not work with lower versions than the 1.15.
  • Python3 and pip3 needs to be installed and executable from the shell.
  • The viertualenv tool needs to be installed for the metrics analyzer.

Usage

The crawler can be easily executed from the armiarma.sh file (make sure that is an executable file). The executable armiarma.sh launching shell script supports five different commands that correspond to the main functionalities of the tool. Those commands are:

  • ./armiarma.sh -h to display the help text of the tool.
  • ./armiarma.sh -c [network] [project-name] to launch the armiarma crawler on the given network. The given project-name is the name of the folder where the gathered metrics and where all the related information will be saved. The folder will be placed on the ./examples folder.
  • ./armiarma.sh -p [project-name] to launch the armiarma analyzer over the metrics from the given project. The generted plots of the analysis will be saved on the ./examples/[project-name]/plots folder.
  • ./armiarma.sh -f [network] [project-name] [time] to launch the armiarma crawler on the given network for the given time in minutes. The given project-name is the name of the folder where the gathered metrics and where all the related information will be saved. The folder will be placed on the ./examples folder. After the crawling for the given time, the analyzer will be launched automatically. The summary results will be saved on the ./examples/[project-name]/plots folder.
  • ./armiarma.sh -o to launch the armiarma general overview analyzer over the metrics from the projects' folder. The generted results of the analysis will be saved on the ./general-resutls folder.
    ./armiarma.sh --> -h
                  '-> -c [network] [project-name]
                  '-> -p [project-name]
                  '-> -f [network] [project-name] [time](minutes)
                  '-> -o 

The tool will get the Go packages and compile Rumor as generate the virtual env and install the python3 dependencies for the user.

Currently supported networks: - Mainnet

NOTES

Please, note that the tool is currently on a developing stage, any bugs reports or suggestions will be accepted.

LICENSE

MIT, see LICENSE file.

armiarma's People

Contributors

cortze avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.