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Streamable VS Matplotlib

Compare Streamable 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

Streamable logo Streamable

Fast and easy video streaming for bloggers and publishers.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Streamable Landing page
    Landing page //
    2023-09-20
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Streamable features and specs

  • User-friendly Interface
    Streamable offers a clean and intuitive interface that makes it easy for users to upload and share videos without needing technical expertise.
  • Fast Uploads
    The platform provides quick upload speeds, allowing users to share content efficiently without long wait times.
  • No Account Required
    Users can upload and share videos without the need to register or maintain an account, making the process more streamlined and accessible.
  • Embedding Options
    Streamable offers embedding options that allow users to easily integrate videos into websites, blogs, and social media platforms.
  • Short Video Focus
    The platform is optimized for short video content, which is ideal for quick shares and highlights.

Possible disadvantages of Streamable

  • Limited Storage
    Free accounts have limited storage and video duration caps, which can be restrictive for users with larger content needs.
  • Ads and Monetization
    Some users report the presence of ads and lack of robust monetization options, which might not be ideal for professional content creators.
  • Lower Resolution Options
    The service often compresses videos, resulting in lower resolution playback that might affect video quality.
  • Time-limited Availability
    Uploaded videos might only be available for a limited time, making it impractical for long-term hosting solutions.
  • Basic Analytics
    The platform offers basic analytics features, which may not be sufficient for users needing detailed performance metrics.

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 Streamable

Overall verdict

  • Streamable is considered a good option for users who need a straightforward, hassle-free platform for sharing video clips online. Its strengths lie in its speed and simplicity.

Why this product is good

  • Streamable is a video hosting service that allows users to quickly upload and share clips without the need for a user account. It is praised for its simplicity, fast upload and processing speeds, and its easy-to-use interface. It's particularly favored for sharing short video content and for its embedding capabilities.

Recommended for

  • Content creators who need to share short video clips quickly and easily.
  • Individuals looking to embed videos on websites or forums without dealing with complex settings.
  • Users who prefer a no-frills approach to video hosting, without the need for extensive account setup.

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.

Streamable videos

+ Add

Fool N Final - Superhit Comedy Movie - Sunny Deol - Shahid Kapoor - Paresh Rawal - Johnny Lever

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Streamable and Matplotlib)

Streamable

Matplotlib

Video
100 100%
Video
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Social Networks
100 100%
Social Networks
0% 0
Technical Computing
0 0%
Technical Computing
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 Streamable and Matplotlib

Streamable Reviews

Top 26 Alternatives to Vimeo in 2024: Pricing, Features & More
When it comes to the free plan, Streamable has some good things. Remember, though, that the free plan offers minimal user support and has many bad reviews. However, the best reason to use Streamable instead of Vimeo is for their professional plan.
Source: www.dacast.com
The 9 Best Vimeo Alternatives on the Market in 2024
Streamable is the fastest way to upload, share, and embed videos online. It helps creators and video professionals ensure their video content looks high quality no matter where itโ€™s hosted on the web. Known for its speed and simplicity, Streamableโ€™s main features focus on embedding, clipping, privacy, and basic editing and analytics.
Source: www.loom.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, Streamable should be more popular than Matplotlib. It has been mentiond 595 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.

Streamable mentions (595)

  • Can anyone identify the song on my Grandma's old music box?
    (follow their posting guidelines, and for TipOfMyTongue upload to a site like Streamable/Veed.io (for video) or Vocaroo/SndUp (for audio) because video uploads aren't allowed there, and comment on your post to activate it). Source: over 2 years ago
  • Whatโ€™s this song called? Is it classical?
    If needed you can upload to Streamable/Veed.io. Source: over 2 years ago
  • Weekly General Questions Megathread
    If you would like to provide images and videos, you may use external websites such as Imgur, Gyazo and Streamable to embed links. Source: over 2 years ago
  • Please help me identify this, can't me a plain, doesn't seam like a metioriod, doesn't look like a falling satellite...at least noting 'announced'....maybe a secret NASA mission....??
    Upload to youtube or streamable etc.. Source: over 2 years ago
  • Suggestions, Questions aso.
    Make sure to mirror your clips. https://streamable.com and imgur.com are good ways to do that. Source: over 2 years 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 Streamable and Matplotlib, you can also consider the following products

Imgur - Imgur is a free and simple image hosting service with image editing feature. Signup is optional.

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

Vocaroo - Vocaroo is a quick and easy way to share voice messages over the interwebs.

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

YouTube - Our mission is to give everyone a voice and show them the world.

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

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