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Delighted VS Matplotlib

Compare Delighted VS Matplotlib and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Delighted logo Delighted

The fastest and easiest way to gather actionable feedback from your customers

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Delighted Landing page
    Landing page //
    2023-10-19

Deliver customer feedback and employee experience surveys across various channels. Control when and where surveys are delivered for point-in-time feedback at key points in the customer journey and employee lifecycle.

No code required.

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

Delighted features and specs

  • Survey Distribution via Email, Web, Link, SDK and Kiosk
  • Prebuilt Reports and Trend Reports
    Yes
  • AI Suggested Filters
    Yes
  • Customize Branding
    Yes
  • Survey Types: NPS, CSAT, CES, 5-Star, Thumbs, Smiley, eNPS, PMF
  • Send Survey from Your Domain
    Yes
  • 30+ Languages
  • Autopilot to Schedule Delivery
    Yes
  • Survey Templates
    Yes
  • Additional Questions
    Yes
  • Testimonials

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 Delighted

Overall verdict

  • Yes, Delighted is generally considered a good tool for collecting customer feedback and measuring customer satisfaction.

Why this product is good

  • Delighted is known for its simplicity and effectiveness in gathering Net Promoter Score (NPS) data. It offers a user-friendly interface, easy integration with various platforms, and real-time feedback collection. Delighted helps businesses understand customer sentiment and improve their products or services based on the feedback received.

Recommended for

  • Businesses looking to implement NPS surveys quickly and efficiently
  • Companies seeking real-time feedback from customers
  • Organizations that want to integrate feedback tools with existing platforms like Slack, Salesforce, and Shopify
  • Small to medium-sized businesses aiming for a cost-effective customer feedback solution

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.

Delighted videos

+ Add

Delighted used by Bonobos

More videos:

  • Demo - NPS Setup in 15 Seconds

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Delighted and Matplotlib)

Delighted

Matplotlib

Customer Feedback
100 100%
Customer Feedback
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Surveys
100 100%
Surveys
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

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

These are some of the external sources and on-site user reviews we've used to compare Delighted and Matplotlib

Delighted Reviews

12 Best SurveySparrow Alternatives With Pricing and Features
A menโ€™s clothing and accessories brand, Bonobos, wanted to know how customers feel about the new shipping process. The brand used a Delighted NPS survey and found that the customers were not happy with the changes.
Source: qualaroo.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, Matplotlib seems to be a lot more popular than Delighted. While we know about 114 links to Matplotlib, we've tracked only 2 mentions of Delighted. 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.

Delighted mentions (2)

  • MSP Feedback Survey / Net Promoter - Third Party Executed
    We've used https://delighted.com and been pretty happy with it. It's sent to customers during "key intersects" (onboarding, after projects, etc.) and after events. The results stream into Teams and we also track/analyze them to improve service. Source: over 4 years ago
  • Creating a simpler NPS, CSAT, CES service like Delighted?
    After seeing a business idea newsletter mention a SaaS that help monitor you NPS score, I decided to look a little more into it. There are a LOT of solutions out there, but they're also wildly expensive since I assume they're targeting larger organizations. One service I found, https://delighted.com, provides simple forms and widgets to collect NPS, CSAT, CES and other and displays the results in a simple... Source: about 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 / 8 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 Delighted and Matplotlib, you can also consider the following products

Survicate - Collect feedback on your website and find out more about your visitors.

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

AskNicely - Collect customer experience feedback on a daily basis and empower your team to take immediate action to drive retention, upgrades, reviews and referrals.

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

Wootric - Wootric is software that allows apps and websites to take customer satisfaction surveys so that you can properly gauge the popularity and success of your app through the eyes of the people using it. Read more about Wootric.

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

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