Software Alternatives, Accelerators & Startups

Nolt.io VS Matplotlib

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

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Nolt.io logo Nolt.io

A fast & beautiful way to collect user feedback

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Nolt.io Landing page
    Landing page //
    2019-03-24

$25 / month

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

Nolt.io features and specs

  • User-friendly Interface
    Nolt provides an intuitive and easy-to-navigate interface that makes it simple for users to submit feedback and ideas without any hurdles.
  • Customizable
    Nolt offers various customization options, allowing businesses to tailor the feedback board to match their brand's look and feel.
  • Integrations
    It supports integrations with tools like Slack, Intercom, and Zapier, making it easy to manage feedback within existing workflows.
  • Voting System
    Users can upvote and comment on ideas, allowing the most valuable suggestions to naturally rise to the top.
  • Anonymous feedback
    Nolt allows users to submit feedback anonymously, encouraging more honest and open feedback.
  • Affordability
    Nolt offers competitive pricing plans, providing great value for small to medium-sized businesses.

Possible disadvantages of Nolt.io

  • Limited Advanced Features
    While Nolt covers basic feedback management very well, it may lack some of the advanced features offered by more comprehensive project management tools.
  • User Management Limitations
    Nolt might not be suitable for large enterprises with complex user management needs, as it offers limited functionality in this area.
  • Customization Constraints
    Although customizable, the scope for customization might not be enough for businesses seeking highly specific functionality.
  • Learning Curve for Integrations
    While Nolt does support various integrations, setting them up correctly can be somewhat challenging for users without technical expertise.
  • Limited Analytics
    Nolt provides basic analytics but lacks in-depth analytical tools that could be beneficial for more data-driven decision making.
  • No Mobile Apps
    As of now, Nolt does not offer dedicated mobile apps, which may be a hinderance for users looking for mobile-first solutions.

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 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.

Nolt.io videos

Give Your Community A Vote And A Voice With Nolt (Onboaring and Review)

More videos:

  • Review - Nolt.io Suggestion Board!

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Nolt.io and Matplotlib)
Customer Feedback
100 100%
0% 0
Data Science And Machine Learning
User Feedback
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 Nolt.io and Matplotlib

Nolt.io Reviews

10 Best Canny Alternatives and Competitors in 2025
Customer feedback doesnโ€™t have to be boring. At least thatโ€™s how the leaders behind Nolt feel. As one of the top alternatives to Canny, this app offers a stunning, visual feedback board that users will love to use when collecting feedback.
Source: clickup.com
Top 10 FeatureBase alternatives you should evaluate in 2024
Small businesses prefer Nolt (opens in new tab) than Featurebase because it is more friendly to them and simpler to use. It is a lightweight feedback management software with basic features. Nolt has a very modern user interface. It also has several cons that has to be kept in mind.
Source: featureos.app
17 Best Canny Alternatives in 2024
Nolt.io is a customer feedback tool that helps you collect and organize feedback from your customers. You can use this tool to create a single place where all of your customers' comments are collected and organized into relevant topics so that you can easily find ways to improve your products. You can also get real-time insights into your customers' experiences by viewing...
Source: supahub.com
30+ Customer Feedback Tools comparison
Some tools are perfected and focused on a specific use-case (ie Canny, Nolt, FeatureUpvote) while others are feature-rich for general purpose (ie ClearFlask, UserVoice). If you cannot find the right tool, customize one to fit your needs.
Source: clearflask.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.
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 Nolt.io. While we know about 114 links to Matplotlib, we've tracked only 8 mentions of Nolt.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.

Nolt.io mentions (8)

  • Ask HN: Product people, what do you use to manage your roadmap?
    Iโ€™ve seen others use nolt. https://nolt.io/. - Source: Hacker News / almost 2 years ago
  • Rust future
    Seems like nolt.io and rust feedback is privated at the moment, must have had ppl bombing it after the update. Source: about 3 years ago
  • So I just built an Upvote board application inspired by 50hacks
    - Employee feedback board - a place where bigger companies can head their employees and their problems (https://nolt.io/ for employees and companies). Source: almost 4 years ago
  • stop getting pissed at losing
    Well it is one of the better early tier monuments, what other reason would they have for making it easier? It has always worked properly and fine. Also there was a MASSIVE uproar from the community because of it, if it wasnt just for the noobs they would have left it. https://rust.nolt.io/ had practically nothing but complaints from players on it for weeks, to this day I still occasionally see it. Not to mention... Source: about 4 years ago
  • Bigscreen roadmap, most voted ideas, user suggestions?
    If anyone at bigscreen reading this then please make a http://feedback.bigscreenvr.com/ page and use Nolt ยท Feedback boards your users will love or something like this or make a custom one, so anyone can see your roadmap and give suggestion and vote ideas. It will also help you to know what users want and you will also get lot of free ideas. Source: over 4 years ago
View more

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

Canny.io - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.

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

UserVoice - UserVoice integrates easy-to-use feedback, helpdesk, and knowledge base management tools in one platform that empowers users to speak and companies to understand.

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

Upvoty - User feedback in 1 simple overview ๐Ÿ”ฅ

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