Fake Libraries

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Fake Libraries

Mimesis is a powerful Python library that empowers developers to generate massive amounts of synthetic data efficiently.

To install mimesis, simply use pip: It is divided into several sections: You can improve it by sending pull requests to this repository.

SMS/Email/Whatsapp/Twitter/Instagram bombers Collection :bomb::bomb::bomb: :boom: Also added collection of some Fake SMS utilities which helps in skip phone number based SMS verification by using a temporary phone number that acts like a proxy.

To keep this collection up-to-date need contributors who can add more mobile/email/whatsapp/twitter scripts and github repo here at one place. 𝙄 𝙖𝙢 𝙣𝙤𝙩 𝙧𝙚𝙨𝙥𝙤𝙣𝙨𝙞𝙗𝙡𝙚 𝙛𝙤𝙧 𝙖𝙣𝙮 𝙩𝙝𝙞𝙣𝙜 𝙮𝙤𝙪 𝙙𝙤 𝙬𝙞𝙩𝙝 𝙩𝙝𝙞𝙨 𝙨𝙘𝙧𝙞…

📡 A python program to create a fake AP and sniff data.

I'm not responsible for anything you do with this program, so please only use it for good and educational purposes.

Fakeimg.pl is a little tool that generates images with an URL. Choose the size, the colors, even the text. Oh… and it’s free.

Use them directly in an image tag or a CSS background, or whatever you want to. Colors support transparency (0 - 255) by putting the alpha value after the color itself. Both colors are supported. Pre…

Generate a boatload of Fake Apache Log files very quickly

It can write log lines to console, to log files or directly to gzip files. Generate a single log line to STDOUT Generate 100 log lines into a .log file Generate 100 log lines into a .gz file at inter…

This library is helpful when creating accounts, it has everything you need for this

This library tested with Python 3.6+ and Pypy 3. There are two ways to install the library: or: It is generally recommended using the first option.

Creates fake JSON files from a JSON schema

Results in ... Create a file main.py with: Run the server with:

BeReal Python API wrapper

I have recently received a c&d from berel and im having to remove this project.

The Python fake data producer for Apache Kafka® is a complete demo app allowing you to quickly produce JSON fake streaming datasets and push it to an Apache Kafka topic.

Where With Set your variables first: Parameters: You can create the Apache Kafka service with And retrieve the Apache Kafka Service URI with Apache Kafka is either a registered trademark or trademark…

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