A minimal, self-hosted paste platform

Features

• Self-contained system without external database dependencies
• Automatic programming language detection
• Optional on-disk encryption
• Optional single use pastes
• Optional expiration date
• QR code generation
• Theme system
• IP/network whitelisting and blocking
• Endpoint rate limiting
• JSON API
• Fully configurable via environment variables
• Included script for uploading files/content from stdin

Screenshots

Browser

Dark

CLI

Installation

Docker

It is highly recommended that you use the official Docker image to run Pastey. To do so, simply run:

$ docker run -d -p 5000:5000 -v /path/to/local/dir:/app/data cesura/pastey:latest

Change /path/to/local/dir to a local folder you would like to use for persistent paste storage. It will be mounted in the container at /app/data.

Pastey will then be accessible at http://localhost:5000

Docker (slim image OR non-AVX processor)

If you're interested in a slimmer image (or your processor does not have support for AVX instructions required by Tensorflow), a slim image without language detection is also maintained:

$ docker run -d -p 5000:5000 -v /path/to/local/dir:/app/data cesura/pastey:latest-slim

docker-compose

If you prefer to use docker-compose:

$ wget https://raw.githubusercontent.com/Cesura/pastey/main/docker-compose.yml && docker-compose up -d

Note that this must be modified if you wish to use a local directory for storage, rather than a Docker volume.

Local

With language detection

Requirements:

• Python 3.8
• AVX-enabled processor (or a Python environment configured to use Anaconda's Tensorflow)

$ git clone https://github.com/Cesura/pastey.git && cd pastey && mkdir ./data
$ pip3 install -r requirements.txt
$ python3 app.py 

Without language detection

If you prefer to not use the language detection feature, use the included patch_no_tensorflow.sh script to remove the guesslang requirements:

$ git clone https://github.com/Cesura/pastey.git && cd pastey && mkdir ./data
$ ./patch_no_tensorflow.sh && pip3 install -r requirements.txt
$ python3 app.py 

Configuration

Here is a list of the available configuration options:

Docker configuration

For Docker environments, it is recommended that the options be passed to the container on startup:

$ docker run -d -p 5000:5000 -e PASTEY_LISTEN_PORT=80 -e PASTEY_BEHIND_PROXY="True" cesura/pastey:latest