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Matplotlib VS IdeaScale

Compare Matplotlib VS IdeaScale and see what are their differences

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Matplotlib logo Matplotlib

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

IdeaScale logo IdeaScale

IdeaScale is the leading innovation management software platform for the enterprise, government, and education.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • IdeaScale Landing page
    Landing page //
    2023-10-06

  ideascale.comSoftware by IdeaScale

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.

IdeaScale features and specs

  • User-Friendly Interface
    IdeaScale offers a clean and easy-to-navigate user interface, making it simple for users to submit ideas and engage with the platform.
  • Collaboration Features
    The platform includes robust features for collaboration, such as commenting, voting, and team formation around ideas.
  • Customizability
    IdeaScale can be tailored to fit the specific needs of different organizations, with options for custom branding and workflows.
  • Scalability
    It is designed to handle a wide range of community sizes, from small teams to large enterprises, without a drop in performance.
  • Integration Capabilities
    IdeaScale integrates with various other tools and platforms, such as Slack, Microsoft Teams, and JIRA, to streamline workflows and communication.
  • Analytics and Reporting
    The platform offers detailed analytics and reporting features that help organizations track the progress of ideas and measure overall engagement.

Possible disadvantages of IdeaScale

  • Cost
    IdeaScale can be relatively expensive, especially for smaller organizations or startups with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, some users may find there is a learning curve associated with utilizing all of the platform’s features effectively.
  • Custom Implementation
    While it offers high customizability, implementing custom features or workflows can sometimes require additional development resources or support.
  • Integration Limitations
    Although it integrates with multiple tools, some users have reported limitations or complexities when trying to configure certain integrations.
  • Dependency on User Participation
    The success of an idea management platform like IdeaScale heavily depends on active user participation, which can be a challenge to maintain over time.
  • Feature Overload
    Some users may feel overwhelmed by the numerous features and options available, potentially leading to underutilization of the platform's capabilities.

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.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

IdeaScale videos

+ Add

Introducing IdeaScale Stages

More videos:

  • Tutorial - IdeaScale tutorial and review
  • Review - How Does IdeaScale Work

Category Popularity

0-100% (relative to Matplotlib and IdeaScale)

Matplotlib

IdeaScale

Technical Computing
100 100%
Technical Computing
0% 0
Idea Management
0 0%
Idea Management
100% 100
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Brainstorming And Ideation
0 0%
Brainstorming And Ideation
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 Matplotlib and IdeaScale

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 doesn’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

IdeaScale Reviews

30 Best Customer Feedback Survey Tools: An Overview | Mopinion
Technically an idea management and innovation management tool, IdeaScale is another solution with which you can create a community of feedback and discussions among website visitors. This particular customer feedback tool can be integrated with Facebook and includes a profanity filter. Users can also conduct short polls and the design is customisable. IdeaScale offers both a...
Source: mopinion.com

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than IdeaScale. While we know about 107 links to Matplotlib, we've tracked only 2 mentions of IdeaScale. 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.

Matplotlib mentions (107)

  • Python for Data Visualization: Best Tools and Practices
    Matplotlib is the backbone of Python data visualization. It’s a flexible, reliable library for creating static plots. Whether you're making simple bar charts or complex graphs, Matplotlib allows extensive customization. You can adjust nearly every aspect of a plot to suit your needs. - Source: dev.to / 3 months ago
  • Build a Competitive Intelligence Tool Powered by AI
    Add data visualization to make it actionable for your business using pandas.pydata.org and matplotlib.org. - Source: dev.to / 7 months ago
  • Data Visualisation Basics
    Matplotlib: a versatile library for visualizations, but it can take some code effort to put together common visualizations. - Source: dev.to / 10 months ago
  • Creating a CSV to Graph Generator App Using ToolJet and Python Libraries
    In this tutorial, we'll create a CSV to Graph Generator app using ToolJet and Python code. This app enables users to upload a CSV file and generate various types of graphs, including line, scatter, bar, histogram, and box plots. Since ToolJet supports Python (and JavaScript) code out of the box, we'll incorporate Python code and the matplotlib library to handle the graph generation. Additionally, we'll use... - Source: dev.to / 11 months ago
  • Something is strange with CrowdStrike timeline
    It looks like matplotlib to me: https://matplotlib.org/. - Source: Hacker News / 11 months ago
View more

IdeaScale mentions (2)

What are some alternatives?

When comparing Matplotlib and IdeaScale, you can also consider the following products

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

Xmind - Xmind is a brainstorming and mind mapping application.

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

MindMeister - Create, share and collaboratively work on mind maps with MindMeister, the leading online mind mapping software. Includes apps for iPhone, iPad and Android.

Plotly - Low-Code Data Apps

FeatureMap - FeatureMap story mapping, simple and effective realtime collaboration and collective intelligence tool.

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