SolidityScanLegend README

The project's README from github.com/whitakeroliver/SolidityScanLegend. As one markdown file: README.md.

SolidityScanLegend

SolidityScanLegend enables real-time, high-performance data extraction and analysis through scalable, auto-scaling architecture and efficient query processing.

With SolidityScanLegend, you get a lightweight tool that stays out of your way.

What you get

Key Features

Technology Stack

Installation

  1. Clone the repository: git clone https://github.com/harutosati/SolidityScanLegend.git
  2. Install dependencies: pip install -r requirements.txt
  3. Run the test suite: pytest

Configuration

Most behavior is controlled via command-line flags:

Contributing

Pull requests and issue reports are both welcome. Please read the existing code style before submitting.

License

This project is licensed under the MIT License. See the LICENSE file for details.

SolidityScanLegend (whitakeroliver/SolidityScanLegend)

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What is this?SolidityScanLegend is described as a tool for real-time, high-performance data extraction and analysis built on a scalable, auto-scaling architecture with efficient query processing.
Is this a CLI tool I run from the terminal?Yes, it is a lightweight command-line tool configured through flags rather than a library you import into other code.
How do I install and run it?Clone the repository, install dependencies with 'pip install -r requirements.txt', then run the test suite with 'pytest'.
Do I need Python to use this?Yes, it's built in Python and relies mainly on the standard library with minimal external dependencies, plus unittest/pytest for testing.
What exactly does it extract or analyze?The README only describes the tool in generic high-level terms (data extraction, analysis, auto-scaling, query processing) without specifying a concrete data source, target system, or output format.
What do the command-line flags do?The '--verbose' flag enables detailed logging, '--config' points to a custom config file, and '--dry-run' lets you preview changes before they are applied.
How is the project tested?It ships with a test suite runnable via 'pytest', using Python's unittest/pytest tooling.
What are similar projects?truffle, miller, rector, xsv, composer, nodemon, cz-cli, turbocrypt
Size
<0.1 MB
Stars
118
Updated
CommitSep 01
Age
1mo
Commits · 90 Days