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Brightidea VS Matplotlib

Compare Brightidea VS Matplotlib and see what are their differences

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Brightidea logo Brightidea

With over 2 million users worldwide and $15+ billion in recorded business impact, Brightidea is ranked as the #1 Idea Management Platform globally and is the market leader in innovation management.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Brightidea Landing page
    Landing page //
    2021-09-25

With over 2 million users world wide and $15+ billion in recorded business impact, Brightidea is ranked as the #1 Idea Management Platform globally and is the market leader in innovation management.

Here at Brightidea, we believe that innovation is too important to be left to chance, and that every individual deserves an opportunity to have their voice heard.

Our focus is not only giving organizations the ability to readily crowdsource ideas and build on strategic plans, but also back every idea with complex data points to help you track, manage, and prioritize ideas to ensure the best ideas always win.

We are designed to fit any size, scale, or level of maturity when it comes to idea or innovation management. Brightidea helps you harness the power of ideas to help you foster a culture of innovation within the company.

Most recently, we've added the Whiteboard. Brightidea Whiteboard gives your team a place to brainstorm in your own infinite space via a browser. Create stickies for new ideas, upload images, draw with dynamic pen and marker tools, emote with rich reactions, leverage smart tools like timers to keep your meetings on track, and utilize all of your favorite idea and innovation management templates.

Wherever you're at in your innovation journey, our platform & people will help you get to the next level.

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

Brightidea features and specs

  • User-friendly Interface
    Brightidea features an intuitive and easy-to-navigate interface, making it accessible for users with varying levels of technical proficiency.
  • Comprehensive Features
    Offers a wide range of functionalities such as idea collection, voting, collaboration tools, and detailed analytics to manage the entire innovation process.
  • Customization
    Highly customizable with the ability to tailor workflows, templates, and reporting to fit the specific needs of an organization.
  • Integration Capabilities
    Supports integration with various other enterprise applications and tools, enhancing its utility within an existing tech ecosystem.
  • Robust Analytics
    Provides detailed insights and analytics to track idea progression, participation rates, and ROI, helping organizations make informed decisions.
  • Scalability
    Scalable platform capable of handling large volumes of data and users, suitable for both small businesses and large enterprises.

Possible disadvantages of Brightidea

  • Pricing
    Can be relatively expensive compared to other innovation management tools, which may be a barrier for smaller organizations.
  • Learning Curve
    Despite its user-friendly interface, some users may find the extensive features overwhelming initially, requiring time and resource investment in training.
  • Customization Complexity
    While highly customizable, the process of tailoring the platform to specific needs can be complex and may require technical expertise.
  • Support Response Time
    Some users have reported slower response times from customer support, which could affect the resolution of critical issues.
  • Integration Challenges
    Although it supports integrations, some users may encounter difficulties or require additional resources to achieve seamless integration with certain third-party applications.

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.

Brightidea videos

+ Add

Brightidea Whiteboard

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Brightidea and Matplotlib)

Brightidea

Matplotlib

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

Brightidea Reviews

18 Best Idea Management Software to Facilitate Innovation 2023
Brightidea’s products are tailored to specific parts of an organization—tap into your creativity with its whiteboard tool, create a digital idea box, restructure your tasks management process, or connect with external partners.
Source: clickup.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 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

Social recommendations and mentions

Based on our record, Matplotlib seems to be more popular. It has been mentiond 107 times since March 2021. 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.

Brightidea mentions (0)

We have not tracked any mentions of Brightidea yet. Tracking of Brightidea recommendations started around Mar 2021.

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 / 6 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

What are some alternatives?

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

Xmind - Xmind is a brainstorming and mind mapping application.

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

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

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

Viima - Viima is the simple, yet incredibly powerful Agile Innovation Platform that helps you go from ideas to innovations – at the speed and scale of a true innovator.

Plotly - Low-Code Data Apps

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