3.2 KiB
Parasitter
Twitter via RSS with privacy
Parasitter allows you to follow your favourite twitters without Twitter even knowing it. Rssitter uses [Nitter's](nitter.net) rss feed in order to gather the latest tweets from your favourite accounts and builds a *twitter-like* feed so you can read them. We will never connect you to Twitter so your privacy is safe when using Parasitter.
Parasitter is written with Python and Flask and uses Semantic-UI as its CSS framework.
Security
Only the hash of your password is stored on the database. Also no personal information of any kind is kept on the app itself, if a hacker gets access to it only thing they could do would be to follow/unfollow some accounts.
I always recommend self-hosting, as you will be the only person with access to the data.
Privacy
Parasitter cares about your privacy, and for this it will never make any connection to Twitter. We use Nitter's rss feed to fetch all the tweets from your followed users. Images are also loaded from nitter. If you want to use a specific Nitter instance you can replace it on the file app/routes.py
.
It is always recommended to set up a self-hosted instance. It is quite easy and conveninent and will give you full control over your data. The only data that is stored on the Database is:
- Hash of the password
- Username
- Email (we won't send you any mails so you can make up the mail) - This is for future versions.
- List of followed users
- List of saved posts
Self hosting
-
Install
python3
,pip3
andgit
. -
Clone this repository:
git clone https://github.com/pluja/Parasitter.git
-
Navigate to the project folder:
cd Parasitter
-
[Optional] Prepare a virtual environment and activate it:
Python lets you create virtual environments. This allows you to avoid installing all the
pip
packages on your system.
If you don't mind about that, you can jump to step 5. and ignore everything about "[env]".python3 -m venv venv
source venv/bin/activate
Now you are inside of the virtual environment for python. All instructions wiht [env] indicate that must be done inside the env if you decided to create one. From now on, you will always need to start the application from within the virtual env.
-
[env] Update pip
pip install --upgrade pip
-
[env] Install the dependencies:
pip3 install flask flask-sqlalchemy flask-migrate python-dotenv flask-wtf flask-login email-validator feedparser
It may require you to use sudo
-
[env] Initialize and prepare the database.
flask db init
flask db migrate
flask db upgrade
-
[env] Run the application.
flask run
-
Go to "http://localhost:5000/" and enjoy.
Upgrading to new versions:
This will never delete your database.
- Navigate to the git repository (the one you cloned when installing).
- Pull new changes:
git pull
- Done! You are on latest version.