Software Alternatives, Accelerators & Startups
Register | Login

Pics.io VS Matplotlib

Compare Pics.io VS Matplotlib and see what are their differences

recto
recto finds the pages nothing links to and links them using words you already publishedโ€”no AI rewrite; you approve every change. $39 once, NO SUBSCRIPTION. featured
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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Pics.io logo Pics.io

Pics.io is a cloud service that people can use to manage their creative content and files, collaborate with their peers on this content, and then share it with their clients. Read more about Pics.io.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Pics.io Landing page
    Landing page //
    2018-09-29

Pics.io is an all-in-one digital asset management solution for distributed teams. Using Pics.io DAM you can have all your digital assets centralized, easily accessible at any time, and simple to search and share for distributed teams to work productively. The software works on top of G Suite and Amazon S3, transforming these storages into a searchable and shareable digital library.

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

Pics.io

Website
pics.io
Pricing URL
Official Pics.io Pricing
$ Details
paid Free Trial
Platforms
Cloud Web Android iOS Slack Shopify Wordpress Zoho Zapier REST API Webhooks
Release Date
2012 December
Startup details
Country
United States
Edit details

Matplotlib

Website
matplotlib.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Pics.io features and specs

  • Assets Intelligence
  • Collaboration and Versioning
  • IPTC, XMP, EXIF metadata support
  • Roles and Permissions
  • Analytics, Reporting, Activity log
  • Whitelabeling and Branding
  • CSV import/export
  • Websites with templates
  • Automatic AI keywording
  • Custom fields
  • SSO and 2FA
  • REST API and Webhooks
  • Free trial and Webinars
  • Customer success manager
  • Personal support engineer
  • Face Recognition

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 Pics.io

Overall verdict

  • Pics.io is generally considered a good option for organizations that need a user-friendly DAM solution integrated with Google Drive. Its features are robust for small to medium-sized teams, and its interface is intuitive for new users.

Why this product is good

  • Pics.io is a digital asset management (DAM) platform that integrates with Google Drive, making it useful for teams looking to organize, collaborate on, and manage their digital media assets efficiently. It offers features such as version control, metadata management, and easy sharing options, which can increase productivity and streamline workflows.

Recommended for

  • Marketing teams needing efficient management of digital assets.
  • Small to medium-sized businesses using Google Drive for storage.
  • Creative agencies requiring collaboration and version control tools.
  • Remote teams looking for cloud-based digital asset management solutions.

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.

Pics.io videos

+ Add

RocketBrand Reviews Pics.io Digital Asset Management

More videos:

  • Tutorial - pics.io Tutorial - Using Google Drive File Stream to Import Files
  • Tutorial - How to work with assets (colors, stars, flags)
  • Tutorial - How to work with metadata

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Pics.io and Matplotlib)

Pics.io

Matplotlib

Digital Asset Management
100 100%
Digital Asset Management
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Marketing Platform
100 100%
Marketing Platform
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

Share your experience with using Pics.io 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 Pics.io and Matplotlib

Pics.io Reviews

We have no reviews of Pics.io yet.
Be the first one to post

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 seems to be a lot more popular than Pics.io. While we know about 114 links to Matplotlib, we've tracked only 1 mention of Pics.io. 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.

Pics.io mentions (1)

  • Can anybody recommend a non-cloud database solution to keep track of your footage?
    I am looking for a way to catalog a huge collection of short clips I use to build my videos. I need to be able to find clips based on keywords in different categories. For example if I need a funny (mood) transition (function), etc. I was looking at pics.io which is an online cloud-based solution. I have a storage server I would like to use on my lan and not an online cloud-based setup. I could build my own... Source: almost 5 years ago

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 Pics.io and Matplotlib, you can also consider the following products

Venngage - Join over 1 million people creating their own professional graphics with our easy to use infographic maker. Sign up for free and choose from 20000+ design templates.

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

Bynder - Bynder is a cloud-based digital asset management solution for marketing professionals looking to simplify how they manage digital content via one central portal.

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

Brandfolder - One link to all your marketing assets. Brandfolder is your convenient source to visually organize, quickly find and easily share all your final brand assets.

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

Loading...