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Immich VS Matplotlib

Compare Immich VS Matplotlib and see what are their differences

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Immich logo Immich

immich Self-hosted photo and video backup solution directly from your mobile phone

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Immich Landing page
    Landing page //
    2023-02-22
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Immich features and specs

  • Open Source
    Immich is an open-source project, allowing users to contribute to or modify the software according to their requirements. This fosters a strong community and offers transparency in development.
  • Self-hosted
    Immich can be self-hosted, providing users with control over their data and enhancing privacy by not relying on third-party servers for storage.
  • Cross-platform Support
    Immich supports various platforms, making it accessible from different devices, which is convenient for users who operate in multiple environments.
  • Scalability
    The application is designed to scale with user needs, allowing it to handle a growing amount of data efficiently.
  • Community-driven Development
    Because itโ€™s open-source, active community members can suggest features, report bugs, and contribute to the codebase, helping to continually improve the software.

Possible disadvantages of Immich

  • Technical Setup Required
    As a self-hosted solution, users need a certain level of technical knowledge to set up and maintain the software, which could be challenging for non-technical individuals.
  • Maintenance Responsibility
    Users are responsible for regular maintenance, including updates and backing up data, which can be a burden compared to managed services.
  • Limited Support
    Support primarily comes from the community, which may not be as immediate or comprehensive as commercial support options provided by proprietary software.
  • Resource-Dependent
    Running a self-hosted solution requires adequate hardware and/or cloud resources, which can entail additional costs and management overhead.

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 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.

Immich videos

Back Up Your Phone with Immich and Docker

More videos:

  • Tutorial - How to Install and Setup Immich (The Google Photos Alternative )on Windows

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Immich and Matplotlib)
Image Hosting
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Data Science And Machine Learning
Photos & Graphics
100 100%
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Technical Computing
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100% 100

User comments

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Reviews

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

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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.
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.
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.
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...

Social recommendations and mentions

Matplotlib might be a bit more popular than Immich. We know about 114 links to it since March 2021 and only 78 links to Immich. 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.

Immich mentions (78)

  • How do I permanently disable Google Photos pop-up prompt to backup my photos?
    This exact issue was the final straw for me ditching google photos! I had previously been using syncthing to sync & backup the photos, same as other files on my phone and laptop. I now use Immich [1] (mentioned elsewhere in this thread but without the proper link), having purchased a single-payment lifetime family licence. There is, as I understand it, no benefit to me to purchase it. After a month of use it was... - Source: Hacker News / 17 days ago
  • Why you should Homelab as a developer
    Immich. I have been working to move away from google photos. Immich is a great open source alternative. With geotagging and machine learning to identify faces all running locally. And you can have multiple users with multiple accounts, this was a no brainer for me. - Source: dev.to / 27 days ago
  • Microsoft deleted my account and OneDrive
    Self-host your data. I like Immich for personal photos: https://immich.app. And VisualDrive Server in corporate environment as a self-hosted replacement for cloud-based OneDrive: https://www.axiorema.com/visualdrive-server/. - Source: Hacker News / about 2 months ago
  • Self-Host Immich on a VPS: Your Own Private Google Photos
    TL;DR: Immich is an open-source, self-hosted photo and video platform that genuinely replaces Google Photos โ€” phone auto-backup, AI face and object search, albums, timeline, the lot. This guide runs it with Docker on a VPS: plan your storage, bring up the official Compose stack, put it behind SSL with a large upload limit, connect the mobile app, turn on machine-learning search, and โ€” the part most guides skip โ€”... - Source: dev.to / 2 months ago
  • Want your images back? Sure... That'll be $5!
    > I don't want to self-host my photos, too much management. I dunno https://immich.app is pretty painless IME. - Source: Hacker News / 2 months ago
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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
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What are some alternatives?

When comparing Immich and Matplotlib, you can also consider the following products

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

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

Nextcloud - With Nextcloud enterprises host their own secure cloud solution for storage, collaboration & communication from any device, anywhere.

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

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.

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