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Piwigo.org VS Matplotlib

Compare Piwigo.org VS Matplotlib and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Piwigo.org logo Piwigo.org

Manage your photo collection with Piwigo. Piwigo is open source photo gallery software for the web. Designed for organisations, teams and individuals.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Piwigo.org Landing page
    Landing page //
    2021-12-20
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Piwigo.org features and specs

  • Open-source
    Piwigo is open-source software, meaning you can use, modify, and distribute it for free. This offers significant flexibility and control over the customization and use of the platform.
  • Community Support
    Being open-source, Piwigo has a strong community backing, providing extensive support, plugins, and themes created by other users.
  • Multi-format Support
    Piwigo supports various file formats including images, videos, and other media, allowing for versatile media management.
  • Scalable
    Piwigo can handle large galleries containing thousands of photos efficiently, making it suitable for both small and large collections.
  • User and Permission Management
    Piwigo provides comprehensive user and permission management, allowing you to control who can view, add, or edit photos and albums.
  • Frequent Updates
    The platform receives frequent updates and new features, improving security and functionality.
  • Multi-language Support
    Piwigo is available in multiple languages, making it accessible to a global audience.

Possible disadvantages of Piwigo.org

  • Self-hosting Requirement
    Piwigo requires self-hosting, which means you need to have your own server or hosting service, involving extra cost and administrative effort.
  • Technical Complexity
    Setting up and maintaining Piwigo can be complex, particularly for users without technical expertise.
  • Limited Default Features
    Out of the box, Piwigo's default feature set is somewhat limited, often necessitating additional plugins for advanced functionality.
  • Performance Issues
    Depending on the hosting environment and the size of the gallery, users might experience performance issues such as slow loading times.
  • Dependency on Community
    Since many of Piwigoโ€™s additional functionalities come from community-contributed plugins, their quality and maintenance can vary.
  • Learning Curve
    There is a learning curve associated with effectively using and customizing Piwigo, which might be a barrier for beginners.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of Piwigo.org

Overall verdict

  • Yes, Piwigo.org is generally considered good, especially for users seeking a customizable and self-hosted photo management solution. Its strengths include flexibility, extensibility, and strong community support.

Why this product is good

  • Piwigo.org is highly regarded for its open-source photo gallery software that allows both personal and professional users to organize and share photos. It supports a wide range of plugins and themes, which can greatly enhance its functionality and appearance. The community-driven nature of the platform ensures continuous updates and support.

Recommended for

  • Photography enthusiasts who want to manage large collections of photos.
  • Small to medium-sized businesses looking for a cost-effective photo management solution.
  • Users looking for a customizable, open-source alternative to commercial photo services.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Piwigo.org videos

+ Add

Piwigo Photo Management Software on Openmediavault

More videos:

  • Review - Piwigo 2.4, long overview

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Piwigo.org and Matplotlib)

Piwigo.org

Matplotlib

Photo Gallery
100 100%
Photo Gallery
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Photos & Graphics
100 100%
Photos & Graphics
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

Share your experience with using Piwigo.org and Matplotlib. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Piwigo.org and Matplotlib

Piwigo.org Reviews

20+ Picasa Alternatives And Best Similar Apps Like Picasa 2022
It has over 17 years of history, which is more than can be said of the comparatively recent cloud solutions that most mobile phones default to now. Piwigo has a mobile app, too, so you can sync straight from your phone.
Source: www.gizmoconcept.com
10+ Best Free and Open Source PHP Image Gallery Scripts
Piwigo is photo gallery software for the web, built by an active community of users and developers. It is written in PHP and requires a MySQL database. Extensions make Piwigo easily customizable. Piwigo offers a wide set of features for any photo gallery. Icing on the cake, Piwigo is free and opensource.
Source: www.nilambar.net
6 Best Web Photo Gallery Solutions
To provide an insight into the quality of software that is available, we have compiled a list of 6 of the most useful open source web photo gallery software. Hopefully, there will be something of interest here for anyone who wants to host and share their photos. We give our strongest recommendation to Piwigo, Coppermine and Zenphoto but each of the solutions has something to...
Source: www.linuxlinks.com
Best Self-Hosted Photo and Video Galleries
Piwigo can automatically add a watermark on all photos, describe photos with tags, create a photo calendar using extracted Exif metadata, and resize photos for improved compatibility with various screen resolutions. Piwigo can be easily extended with plugins, and there are various themes provided both by the project community and the developers.
Source: linuxhint.com

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Piwigo.org. It has been mentiond 114 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.

Piwigo.org mentions (27)

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Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 6 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 9 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 9 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 10 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 11 months ago
View more

What are some alternatives?

When comparing Piwigo.org and Matplotlib, you can also consider the following products

PhotoPrism.app - PhotoPrismยฎ 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.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the 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.

NumPy - NumPy is the fundamental package for scientific computing with Python

ente - ente is a cloud based mobile and desktop photo storage app with a focus on security and privacy.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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