Software Alternatives, Accelerators & Startups

Smartlook VS Matplotlib

Compare Smartlook VS Matplotlib and see what are their differences

This page does not exist

Smartlook logo Smartlook

Qualitative analytics for websites and mobile apps Start understanding the 'whys' of your users' behaviors with clear, visual insights. With session recordings and event tracking, you get the complete picture.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Smartlook Landing page
    Landing page //
    2023-08-22

Smartlook is a qualitative analytics solution for web and mobile helping over 250,000 businesses of all sizes and industries answer the โ€œwhysโ€ behind usersโ€™ actions โ€” why do users churn, or why arenโ€™t they using a feature, or why are they skipping onboarding? Now you can eliminate the guesswork.

With a unique feature set, Smartlook gives you a way to finally understand user behavior at the micro level. Always-on visitor recordings show you what every last visitor does on your website or app, and heatmaps give you mass data about where most people click and scroll. Automatic event tracking lets you know how (and how often) your visitors do specific things, while conversion funnels take those events and show you how much success you're having with conversions.

Started in 2016, Smartlook has grown into a complete solution for qualitative analytics, making guesswork a thing of the past. Stop wondering why, and start getting answers today.

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

Smartlook features and specs

  • Comprehensive Analytics
    Smartlook provides detailed insights through session recordings, heatmaps, and event tracking, which helps businesses understand user behavior deeply.
  • User-Friendly Interface
    The platform is easy to navigate, making it accessible for users who may not be experienced with analytics tools.
  • Real-Time Data
    Smartlook offers real-time data monitoring, which allows businesses to promptly identify and address issues as they occur.
  • Cross-Platform Support
    The tool supports web, iOS, and Android platforms, enabling businesses to track user behavior across different devices seamlessly.
  • Advanced Filtering
    Users can apply advanced filters to their data, which helps in segmenting users and understanding specific behaviors more accurately.
  • Integrations
    Smartlook integrates with various third-party tools like Google Analytics, Slack, and others, providing a more versatile analytical environment.
  • Session Recordings
    Smartlook provides detailed session recordings for mobile apps, allowing teams to watch real user interactions, see exactly how users navigate through the app, and identify usability issues or friction points in the user experience.
  • Heatmaps for Mobile
    The platform offers touch heatmaps specifically designed for mobile apps, helping teams visualize where users tap, scroll, and interact most frequently, enabling data-driven UI/UX design decisions.
  • Event-Based Analytics
    Smartlook allows you to track custom events and user actions without requiring extensive coding, making it easier to monitor funnels, conversions, and key user behaviors within the mobile app.
  • Crash and Anomaly Detection
    The tool helps identify crashes and anomalies by linking session recordings to error events, enabling developers to see exactly what the user was doing before a crash occurred, which significantly speeds up debugging and issue resolution.

Possible disadvantages of Smartlook

  • Data Privacy Concerns
    Recording user sessions could potentially raise privacy issues if not managed correctly, requiring strict adherence to data protection regulations.
  • Learning Curve
    Even with a user-friendly interface, new users might still encounter a learning curve when trying to utilize all features effectively.
  • Cost
    While offering a free tier, the costs can add up for premium features or advanced usage, which might be a constraint for smaller businesses.
  • Performance Impact
    The presence of session recording scripts can sometimes slow down website performance, affecting the user experience negatively.
  • Limited Free Plan
    The free plan comes with limitations in terms of data retention and the number of sessions that can be recorded, which might not be sufficient for larger businesses or detailed analysis.
  • Privacy and Compliance Concerns
    Capturing session recordings on mobile apps raises significant privacy concerns. Teams must carefully configure data masking and ensure compliance with GDPR, CCPA, and app store privacy policies, which adds complexity to implementation.
  • Data Sampling at Scale
    For apps with high traffic volumes, Smartlook may sample data rather than capturing every session, which means some user interactions could be missed and analytics may not represent the full picture of user behavior.
  • Learning Curve for Advanced Features
    While basic session playback is straightforward, setting up advanced features like custom event tracking, funnel analysis, and proper data filtering requires technical knowledge and time investment, which can slow down initial adoption.

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 Smartlook

Overall verdict

  • Smartlook is generally well-regarded for its comprehensive analytics capabilities, ease of integration, and intuitive user interface. It offers valuable data and insights that can help businesses enhance their digital platforms. While some users have noted occasional issues with data accuracy or performance, the overall feedback is positive, making it a suitable tool for many organizations.

Why this product is good

  • Smartlook is a digital analytics tool designed for websites and mobile apps to help businesses understand user behavior through features like session recordings, heatmaps, event tracking, and conversion funnels. These functionalities provide insights into user interactions and can help identify areas for optimization, improve user experience, and increase conversion rates.

Recommended for

  • E-commerce businesses looking to understand customer behavior
  • Product managers aiming to optimize user experience
  • Marketers who need to analyze conversion rates and funnels
  • UX/UI designers focused on improving website or app interfaces
  • Businesses seeking to identify and troubleshoot technical issues quickly

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.

Smartlook videos

Smartlook - Get an insider look

More videos:

  • Review - Join the TurboTax SmartLook Team
  • Review - With TurboTax SmartLook, You're Never Alone

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Smartlook and Matplotlib)
Web Analytics
100 100%
0% 0
Data Science And Machine Learning
Analytics
100 100%
0% 0
Technical Computing
0 0%
100% 100

User comments

Share your experience with using Smartlook 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 Smartlook and Matplotlib

Smartlook Reviews

10 Best Mixpanel Alternatives for Product Analytics in 2024
Smartlook is an advanced analytics tool that provides real-time insights into user behaviors and experiences. Understand how users engage with your products, and identify areas for improvement in your customer experience.
Source: clickup.com
11 Hotjar alternatives and competitors in 2024
Another key consideration is that Smartlook provides most of its features on the Pro plan, whereas Hotjar limits features by plan. For example, trend analysis is only available in the Scale planโ€”which starts at $171 per month. When using Smartlook, this functionality is available in all plans.
Source: maze.co
12 Hotjar alternatives for website and mobile app analytics
is the product manager at Smartlook. Martin is enthusiastic about delivering the best possible customer experience. Prior to joining Smartlook as a product manager, he used to work as a consultant for Oracle NetSuite. Martin has a deep professional interest in biometric signing and work digitalization. He is also an NFL enthusiast and likes to enjoy good food (ideally while...
10 Best Hotjar Alternatives & Competitors in 2023
The second Hotjar alternative on our list is Smartlook. As a marketing analytics tool, Smartlook seems to provide its users with session recordings of visitors and allows them to create heatmaps and add events to funnels.
Top 10 CRO Tools to Boost Conversions for Free in 2023
Smartlook is one of the conversion optimization tools that claim to increase traffic rate, and, eventually, your web conversions. It offers key features like event tracking, session replays, heatmaps, and funnels.
Source: aigrow.me

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 Smartlook. While we know about 114 links to Matplotlib, we've tracked only 2 mentions of Smartlook. 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.

Smartlook mentions (2)

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 Smartlook and Matplotlib, you can also consider the following products

Hotjar - The #1 Leader in Heatmaps, Recordings, Surveys & More. Sign up for a 15-day free trial and start learning from real user behavior today!

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

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

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

FullStory - Meet FullStory, the app that captures all your customer experience data in one powerful platform.

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