Software Alternatives, Accelerators & Startups

Smartly.io VS Matplotlib

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

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Smartly.io logo Smartly.io

Smartly.io is the leading Facebook ad optimization solution for agencies and performance marketers

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Smartly.io Landing page
    Landing page //
    2023-10-09
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Smartly.io

Website
smartly.io
$ Details
-
Release Date
2013 January
Startup details
Country
Finland
City
Helsinki
Founder(s)
Kristo Ovaska
Employees
250 - 499

Smartly.io features and specs

  • Automation
    Smartly.io automates repetitive tasks such as ad creation, optimization, and reporting, freeing up time for marketers to focus on strategy and creativity.
  • Integrations
    It integrates with major social media platforms like Facebook, Instagram, and Snapchat, centralizing ad management.
  • Creative Optimization
    The platform offers tools for dynamic creative optimization, allowing users to automatically test and optimize ad creatives for better performance.
  • Scalability
    Smartly.io can handle large-scale campaigns efficiently, making it suitable for both small businesses and large enterprises.
  • Real-Time Reporting
    Provides real-time reporting and analytics, enabling marketers to make informed decisions quickly.
  • User-Friendly Interface
    The platform is designed to be user-friendly, with a clean interface that makes it easier to navigate through different features.

Possible disadvantages of Smartly.io

  • Cost
    Smartly.io is a premium service that may be expensive for small businesses or startups with limited budgets.
  • Complexity
    The platform offers a wide range of features, which can be overwhelming for new users or those not well-versed in digital advertising.
  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve associated with mastering all the functionalities of the platform.
  • Limited Platform Support
    While it integrates well with major social media platforms, it may not support all advertising channels desired by some businesses.
  • Customer Support
    Some users have reported that the customer support can be slow to respond or not as helpful as expected.

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 Smartly.io

Overall verdict

  • Smartly.io is generally considered a strong choice for businesses looking to streamline their social media advertising efforts. Its powerful automation tools and robust analytics capabilities make it a valuable asset for both small and large enterprises. However, its suitability may vary depending on specific business needs and budget considerations.

Why this product is good

  • Smartly.io is a well-regarded platform primarily for its capabilities in automated social media advertising and creative production. It integrates with major social media platforms like Facebook, Instagram, Pinterest, and Snapchat, allowing users to create, manage, and optimize ads efficiently. The platform is known for its user-friendly interface, A/B testing tools, real-time analytics, and collaboration features, which help teams save time and improve their ad performance.

Recommended for

  • Businesses with significant social media advertising budgets seeking to optimize ad spend and performance.
  • Marketing teams looking for a platform that offers automation and real-time collaboration features.
  • Organizations that need to manage large-scale campaigns across multiple social media platforms.

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.

Smartly.io videos

How to Automate Facebook Advertising at Scale - Smartly.io

More videos:

  • Tutorial - Thomas Roberts, Smartly.io: how to scale facebook advertising
  • Review - Smartly.io Case Study for Hopper: Scale, automate and optimize hundreds of new offers every day

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Smartly.io and Matplotlib)
Sales And Marketing
100 100%
0% 0
Data Science And Machine Learning
Marketing Tools
100 100%
0% 0
Technical Computing
0 0%
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 Smartly.io 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

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

Smartly.io mentions (1)

  • [hiring] Mandarin speaking Full-time digital marketing specialist
    - Experience with PowerPoint, Excel (pivot tables and common formulas), and Microsoft Office. Experience using Smartly.io a plus. Source: about 4 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
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What are some alternatives?

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

Facebook for Business - Facebook Business gives the latest news, advertising tips, best practices and case studies to meet the business goals.

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

SocialPilot - SocialPilot is an app designed to help businesses and professionals with social media marketing.

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

Fomo - Fomo turns your site into the online equivalent of a busy store

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