s-tool VS opensea

Compare s-tool vs opensea and see what are their differences.

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s-tool opensea
1 1
10 39
- -
5.0 2.6
10 months ago over 2 years ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

s-tool

Posts with mentions or reviews of s-tool. We have used some of these posts to build our list of alternatives and similar projects.

opensea

Posts with mentions or reviews of opensea. We have used some of these posts to build our list of alternatives and similar projects.
  • 10 DOGE
    1 project | /r/dogecoinbeg | 22 Oct 2021
    I speak python, java, javascript, cpp, and I usually write Discord bots in python, currently learning javascript and also making some python libraries opensea-api, discord-db(basically a CRUD database that stores keys and values on Discord text channels, will release soon on pypi)

What are some alternatives?

When comparing s-tool and opensea you can also consider the following projects:

Edu-Mail-Generator - Generate Free Edu Mail(s) within minutes

DesktopAssistant - A Virtual Desktop Assistant Written in Python

pyleniumio - Bring the best of Selenium and Cypress into a single Python package

opensea-scraper - Image scraper for OpenSea collection assets

Reddit-Bot-Account-Maker - Python code that creates Reddit accounts, complete with email verification.

citronella - Webdriver Extension with Page Object Wrapper

pysmashgg - Smashgg Python API Wrapper -- Updated API Wrapper for Smash.gg's GraphQL API

linkedin-comments-scraper - Script to scrape comments (including name, profile link, pfp, designation, email(if present), and comment) from a LinkedIn post from the URL of the post.