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Matplotlib VS Walls.io

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

Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Rating
0 reviews
Pricing
Open source
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Alternatives Is it good?
Walls.io

Walls.io is an all-in-one audience engagement solution that allows brands to collect, curate, and display user-generated content in an easy-to-customize feed that can be used on displays, websites, intranets, or apps.

Rating
5.0 · 2 reviews
Pricing
Paid Free trial €225 / Monthly
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Alternatives Is it good?
Preferred Patron
Preferred Patron is the top Customer Loyalty Software Program for businesses in any industry of any size. sponsored
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.

Which is more popular?

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

social mentions
114 vs 1
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
238 vs 145

Base details

Website, pricing, platforms and company facts side by side.

Matplotlib
Walls.io
Website matplotlib.org walls.io
Pricing
Open source
Paid Free trial €225 / Monthly Official pricing
Platforms —
Web
Company — Startup from Austria · 10 - 19 employees · 2014
Listed in
Data Science And Machine Learning Development Data Visualization Javascript UI Libraries +1
Social Media Aggregator Content Marketing Content Curation Social Media Monitoring Social Media Marketing Social Media Tools Event Marketing And Management Content Distribution Employee Engagement Customer Engagement User Engagement +8

About Matplotlib and Walls.io

In their own words, as submitted to SaaSHub.

Matplotlib
Walls.io

No description of Matplotlib yet.

Use Walls.io at events, in shops, hotels, restaurants, and offices for your hashtag campaign, and even embed it on your website. 🔖 Tell your brand’s story with content aggregation 💎 Stay in control with automatic curation and moderation 🎨 Improve brand awareness with a custom feed 📺 Display your...

Read more about Walls.io

Features and specs

What each product offers, as listed by its team.

Matplotlib 6 features
Walls.io 15 features
  • 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

  • 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.
  • Automatic Moderation
  • Custom design
  • Free Trial
  • Templates
  • Video and Interactive Content
  • Hashtags tracking
  • Event social wall
  • Social proof
  • Social media feed
  • Social media display
  • Social newsroom
  • Polls
  • Reactions
  • Photo upload
  • Message board

Analysis

An editorial look at what each product does well and who it suits.

Matplotlib
Walls.io

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.

Overall verdict

  • Overall, Walls.io is a reliable and versatile tool for businesses and event organizers seeking to create engaging social media displays. Its intuitive interface and comprehensive features make it a valuable asset for enhancing social interaction and visibility.

Why this product is good

  • Walls.io is considered a good platform because it allows users to aggregate and curate social media content from multiple platforms into visually appealing social media walls. It supports a wide array of social networks and offers customization options to fit the visual style of different brands. The platform is praised for its real-time updates, ease of use, and seamless integration with event displays, websites, and digital signage. Additionally, Walls.io provides moderation features and analytics, which help users maintain control over the content and measure engagement effectively.

Recommended for

  • Event organizers wanting to display social media feeds during live events.
  • Businesses aiming to showcase real-time customer engagement on their websites.
  • Marketing teams looking to enhance brand interaction through visually engaging content.
  • Retailers interested in amplifying customer testimonials and social proof via in-store digital displays.

Videos

Walkthroughs and reviews on video.

Matplotlib 1 video + Add
Walls.io 4 videos + Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Walls.io Social Wall Solution for Events

More videos

  • - Social Media Wall for Your Website, Event or Display
  • - How to create a social wall in less than 5 minutes
  • - Bricks: The Social Media Wall Template That Adapts to Your Content

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Matplotlib
Walls.io
100% 100%
Data Science And Machine Learning
0% 0%
0% 0%
Social Marketing
100% 100%
100% 100%
Technical Computing
0% 0%
0% 0%
Sales And Marketing
100% 100%

Questions & Answers

As answered by people managing Matplotlib and Walls.io.

What makes your product unique?

Walls.io's answer:

Walls.io is a flexible, enterprise-ready social wall platform that helps brands collect, moderate, and display social media content and direct user submissions in real time—across websites, events, apps, intranets, and digital signage.

What truly sets Walls.io apart is its combination of ease of use, deep moderation control, and privacy-first design. With features like Direct Posts (no social account required), GDPR-friendly moderation workflows, and broad integrations (event platforms, CMSs, digital signage tools), Walls.io works just as well for public campaigns as it does for internal communications and regulated industries.

Why should a person choose your product over its competitors?

Walls.io's answer:

People choose Walls.io when they need reliable engagement without risk. Compared to competitors, Walls.io offers:

  • Direct Posts with QR codes, enabling safe participation without forcing users onto social networks

  • Advanced moderation and approval flows, ideal for large screens, internal comms, and conservative industries

  • True omnichannel flexibility: one wall can live on a website, at a live event, inside an app, and on office screens

  • Strong compliance posture, supporting GDPR-conscious brands and global organizations

In short, Walls.io isn’t just about displaying social media, it’s about owning and controlling the experience while still feeling live and authentic.

How would you describe the primary audience of your product?

Walls.io's answer:

Walls.io’s primary audience includes:

  • Marketing and event teams running live, hybrid, or virtual events

  • Internal communications and HR teams focused on employee engagement and employer branding

  • Enterprise and public-sector organizations that require moderation, privacy, and brand safety

  • Sports, education, and cultural institutions engaging large, diverse audiences on-site and online

They typically share one challenge: wanting high participation and visibility without losing control or compliance.

What's the story behind your product?

Walls.io's answer:

Walls.io was founded in Austria with the goal of making social media content usable beyond native platforms, especially at events and on owned channels.

Early on, the team recognized a gap: brands wanted the energy of social media, but not the chaos, data risks, or platform dependency. Walls.io evolved into a robust platform that balances real-time engagement with moderation, flexibility, and ownership. It has since grown into a global solution used by enterprises, NGOs, universities, and major brands worldwide.

Which are the primary technologies used for building your product?

Walls.io's answer:

At a high level, Walls.io is built on a modern SaaS architecture that includes:

  • Cloud-based infrastructure for scalability and global performance

  • API-driven integrations with major social networks, CMSs, event platforms, and signage tools

  • Real-time content ingestion and rendering technologies

  • Secure moderation, storage, and consent mechanisms aligned with data protection standards

Who are some of the biggest customers of your product?

Walls.io's answer:

Walls.io is trusted by well-known global organizations across industries, including:

  • World Health Organization (WHO) – for large-scale international events

  • Cisco – for global employee engagement and event campaigns

  • Sandvik – connecting employees across 150+ countries

  • Leonardo (aerospace & defense) – for safe, approved social sharing

  • Oklahoma City Thunder (NBA) – powering fan engagement at live games

  • Universities, trade shows, and global enterprises such as NAMM, BearingPoint, and Champlain College

These customers rely on Walls.io for its stability, moderation, and ability to scale engagement safely.

User comments

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

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Matplotlib no reviews yet
Walls.io 5.0 · 2 reviews

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Matplotlib 114 mentions
Walls.io 1 mention
  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review.... - Source: dev.to / 8 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes it’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... - Source: dev.to / 11 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 / 11 months ago

View more

  • Tools for Mastodon
    Awesome thing! We're adding Mastodon support to https://walls.io/ next week - will allow you to track hashtags and create a Mastodon social wall content feed to embed as widget on your website or run on a screen/display! Source: almost 4 years ago

Alternatives to Matplotlib and Walls.io

When comparing Matplotlib and Walls.io, you can also consider the following products.

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