synology-api VS pillow

Compare synology-api vs pillow and see what are their differences.

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synology-api pillow
4 44
324 11,722
- 0.9%
7.7 9.9
8 days ago 6 days ago
Python Python
MIT License GNU General Public License v3.0 or later
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.

synology-api

Posts with mentions or reviews of synology-api. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-13.

pillow

Posts with mentions or reviews of pillow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-29.

What are some alternatives?

When comparing synology-api and pillow you can also consider the following projects:

PyInstaller - Freeze (package) Python programs into stand-alone executables

scikit-image - Image processing in Python

pyLoad - The free and open-source Download Manager written in pure Python

wand - The ctypes-based simple ImageMagick binding for Python

elodie - An EXIF-based photo assistant, organizer and workflow automation tool.

ImageMagick - 🧙‍♂️ ImageMagick 7

synology-pcloud-and-rclone - use rclone to connect, backup or sync your data with pcloud

pycairo - Python bindings for cairo

Note-Station-to-markdown - The cross-platform script that converts notes from Synology Note Station to markdown files

thumbor - thumbor is an open-source photo thumbnail service by globo.com

synology-photos-slideshow - Make a digital photo frame for Synology Photos albums with Raspberry Pi

neural-enhance - Super Resolution for images using deep learning.