Software Alternatives, Accelerators & Startups

Video Hub App VS Matplotlib

Compare Video Hub App VS Matplotlib and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Video Hub App logo Video Hub App

The fastest way to browse, search, and manage videos on your computer. Like YouTube for videos on your computer!

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Video Hub App Landing page
    Landing page //
    2021-02-11

Video Hub App allows you to browse, search, preview, and organize your videos.

It extracts screenshots (choose the size and number) from every video in a directory and provides an easy to search and preview interface. It shows the preview as you hover over with your mouse. Clicking in the gallery opens the file.

You can add custom tags, star rating and year information for each video. There are many ways to filter and sort: search by folder, file, tag, star rating, resolution, duration, and more.

You can scan videos from external hard drives for searching even when the hard drives are not connected.

  • Matplotlib Landing page
    Landing page //
    2023-06-14

Video Hub App

$ Details
paid Free Trial $5.0 / One-off
Platforms
Windows Mac OSX Linux
Release Date
2018 February

Video Hub App features and specs

  • User-Friendly Interface
    Video Hub App offers an intuitive and visually appealing interface, making it easy for users to navigate and manage their video library.
  • Efficient Video Search
    The app allows users to search for videos quickly using keywords, making it convenient to find specific content within large libraries.
  • Thumbnail Previews
    Video Hub App generates thumbnail previews for all videos, which helps users identify and locate videos visually.
  • Cross-Platform Support
    The app supports multiple operating systems, including Windows, macOS, and Linux, providing flexibility for users on different platforms.
  • Customization Options
    Users can customize the appโ€™s appearance and functionality to better suit their personal preferences and workflow.

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.

Video Hub App videos

Video Hub App - Browse, search, and preview your videos

More videos:

  • Review - ใƒ“ใ‚ธใƒฅใ‚ขใƒซ็š„ใซใƒ ใƒผใƒ“ใƒผใƒ•ใ‚กใ‚คใƒซใ‚’็ฐกๅ˜็ฎก็†ใงใใ‚‹ใ€ŒVideo Hub Appใ€ใƒฌใƒ“ใƒฅใƒผ

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Video Hub App and Matplotlib)
Video
100 100%
0% 0
Data Science And Machine Learning
File Manager
100 100%
0% 0
Technical Computing
0 0%
100% 100

Questions & Answers

As answered by people managing Video Hub App and Matplotlib.

Which are the primary technologies used for building your product?

Video Hub App's answer

Electron, Angular, and FFmpeg

User comments

Share your experience with using Video Hub App and Matplotlib. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Video Hub App Reviews

  1. Boris
    ยท creator at Video Hub App ยท
    Best way to browse your videos

    I created this software because there was no good alternative. If you want to see what videos you have on an external hard drive, and you want to see screenshots from within the video, this software has you covered.

    It now has over 900 purchases, so seems like other people like it too.

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

Based on our record, Matplotlib should be more popular than Video Hub App. 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.

Video Hub App mentions (30)

  • Delve allegedly forked an open-source tool and sold it as its own
    I had someone steal my MIT open source software (that I sell for $5) and they are selling it for $11 or more. My software is 8+ years old; they are lying to the customers that they have been developing theirs for years. Very frustrating. mine: https://videohubapp.com/ my GitHub: https://github.com/whyboris/Video-Hub-App grifter: https://videocliplibrary.com/. - Source: Hacker News / 4 months ago
  • Ask HN: Those making $500/month on side projects in 2025 โ€“ Show and tell
    Occasionally $500/month, but more reliably $300/month in sales of my Video Hub App - lets users browse, search, tag, and organize videos on local / network drives. Aiming to have an 8th anniversary release February 2026. $5 per copy (Windows, Max, Linux; keep forever) https://videohubapp.com/ MIT open source (build your own copy) https://github.com/whyboris/Video-Hub-App. - Source: Hacker News / 7 months ago
  • Ask HN: What Are You Working On? (December 2025)
    8th anniversary release of my app: Video Hub App - browse and organize your local video collection in style. https://videohubapp.com/ & https://github.com/whyboris/Video-Hub-App (MIT open source). - Source: Hacker News / 7 months ago
  • Ask HN: What Are You Working On? (Nov 2025
    Next release of my app (8 years since initial release) - adding minor features and minor bugfixes. Video Hub App - browse your local video files with a beautiful interface (and scrub-able thumbnails to see multiple screenshots) $5 for anyone https://videohubapp.com. - Source: Hacker News / 9 months ago
  • Ask HN: What Are You Working On? (October 2025)
    Trying to get a new release of Video Hub App - my 7+ years passion project to browse videos from local storage in style. Maybe will finally finish the (optional!) facial recognition feature I started 5+ years ago. https://github.com/whyboris/Video-Hub-App & https://videohubapp.com/. - Source: Hacker News / 9 months ago
View more

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 / 4 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 / 7 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 / 8 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 / 9 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 / 10 months ago
View more

What are some alternatives?

When comparing Video Hub App and Matplotlib, you can also consider the following products

Fast Video Cataloger - Digital asset management - search, browse and find all your digital files. A new quick and easy way to organize your video clips without wasting time.

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

reEmbed - Custom YouTube Video Player

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

Video Clip Library - Organize and manage terabytes of local video files with advanced search, face recognition, and privacy. Available for Windows, Mac, and Linux.

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