Piwigo.org
PhotoPrism.app
Google Photos
Lychee by Electerious
Flickr
MediaGoblin
PhotoStructure
Zenphoto
Pandas
NumPy
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Piwigo.org PandasBased on our record, Pandas should be more popular than Piwigo.org. It has been mentiond 201 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is not for everyone, but I host my family photos myself, most recently with this: https://piwigo.org/. I have been doing this since 2007 (started on a different software, called "gallery". Was able to migrate from gallery2 to gallery3 and now piwigo), and so far no major issues. Advantage: I can easily share photos with family, no need for iCloud, Facebook, or indeed any service- they just need a web browser... - Source: Hacker News / 7 months ago
There is also Piwigo which is open-source and can be self hosted. https://piwigo.org/. - Source: Hacker News / 11 months ago
A couple additiona maybe?: - Piwigo great for photo management. Could be used as an alternative to Google Photos - Nexcloud for file sharing. Replacement for Google Drive. Source: about 1 year ago
I use https://piwigo.org/ on a old PC that I installed Linux on. Source: about 1 year ago
I have on my list to evaluate self-hosted image clouds Piwigo and Photoprism but they don't bridge the photogrammetry gap either. It might even be more time consuming if I have to download the assets I'm working on first. Source: about 1 year ago
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 12 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 18 days ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 2 months ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 2 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 2 months ago
PhotoPrism.app - PhotoPrism® is an AI-Powered Photos App for the Decentralized Web. It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud.
NumPy - NumPy is the fundamental package for scientific computing with Python
Google Photos - All your photos are backed up safely, organized and labeled automatically, so you can find them fast, and share them how you like.
OpenCV - OpenCV is the world's biggest computer vision library
Lychee by Electerious - Lychee is an open-source, free software program for self-hosted photo management. It can be installed on the user's own server or website. The software permits the uploading and management of photos and also makes sharing photos very easy.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
