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Matplotlib VS Smartsheet

Compare Matplotlib VS Smartsheet and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Matplotlib logo Matplotlib

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

Smartsheet logo Smartsheet

Smartsheet is an intuitive online project management tool enabling teams to increase productivity using cloud, collaboration, & mobile technologies.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Smartsheet Landing page
    Landing page //
    2023-03-29

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.

Smartsheet features and specs

  • User-Friendly Interface
    Smartsheet offers an intuitive interface that is easy to navigate, making it accessible for users of all skill levels.
  • Collaboration Features
    The platform supports real-time collaboration with features such as shared sheets, comments, and automated update requests.
  • Versatility
    Smartsheet can be used for a variety of purposes, including project management, task tracking, and process automation.
  • Integration Capabilities
    Smartsheet integrates with numerous other software applications like Google Workspace, Microsoft Office 365, and Jira, enhancing its utility.
  • Automation Options
    The software offers robust automation features to reduce manual work, such as automated workflows, reminders, and status updates.
  • Reporting and Analytics
    Users can create detailed reports and dashboards to gain insights into their projects and workflows.

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.

Analysis of Smartsheet

Overall verdict

  • Overall, Smartsheet is considered a highly effective tool for managing projects and workflows, particularly for teams that require a strong collaborative element and are looking for a flexible and scalable solution. Its ease of use and powerful features make it a recommended choice for businesses and organizations of various sizes.

Why this product is good

  • Smartsheet is a robust project management and collaboration tool that is designed to help teams manage their tasks, projects, and workflows effectively. It offers features such as Gantt charts, dashboards, automated workflows, and real-time collaboration, making it a versatile solution for organizations that need to coordinate complex operations. It's particularly appreciated for its intuitive spreadsheet-like interface, which makes it accessible to users familiar with Excel or similar tools. Additionally, Smartsheet integrates well with a variety of other software, offering a flexible solution that can fit into existing workflows.

Recommended for

  • Teams that need a collaborative tool for managing projects and tasks.
  • Organizations looking for a flexible project management solution with robust automation features.
  • Businesses that require integration with other software and tools they are already using.
  • Users who prefer a spreadsheet-like interface for managing projects and data.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Smartsheet videos

+ Add

Project Tools Review: Microsoft Project vs. Smartsheet

More videos:

  • Review - Smartsheet Project Management Overview
  • Review - Introduction to Smartsheet
  • Review - Smartsheet Review: Key Features, Pros, And Cons
  • Review - Smartsheet review 2021
  • Review - Introduction to Smartsheet
  • Review - Smartsheet Review - 4 Reasons Why You Shouldnt Use Smarthsheet -Walktrough, Top Features, Pros & Con
  • Review - Introduction to Smartsheet

Category Popularity

0-100% (relative to Matplotlib and Smartsheet)

Matplotlib

Smartsheet

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Project Management
0 0%
Project Management
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Task Management
0 0%
Task Management
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 Smartsheet

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

Smartsheet Reviews

20 Best Capacity Planning Software Tools
Tempus Resource distinguishes itself through extensive integration capabilities with popular project management tools. The platform connects seamlessly with solutions like Microsoft Project, Jira, and Smartsheet, creating a unified resource management ecosystem.
Source: www.supervisible.com
25 Best Asana Alternatives & Competitors for Project Management in 2024
Smartsheet is a project management tool that lets you manage, track, and plan multiple projects. The key feature of Smartsheet is the Control Centerโ€”a portfolio and project management solution. Project managers can save time on manual work with the Control Centerโ€™s automation capabilities.
Source: clickup.com
The 10 best Asana alternatives in 2024
Smartsheet is great for enterprise teams that want the versatility of Excel or Google Sheets alongside additional collaboration, visualization, and automation features. But that mix comes with a steep learning curve and a less aesthetically pleasing interface than other popular project management tools. While you can start using Asana without much frustration right away,...
Source: zapier.com
10+1 Best Workflow Management Software 2024 For Maximum Efficiency
Smartsheet offers a host of features such as project management, automation, and integrations. However, its interface might be a little more complex for new users. It provides integration with popular apps like Microsoft 365 and G Suite and supports automation functions.
Source: www.manifest.ly
16 Best Asana Alternatives of 2024 (Free + Paid)
This Asana alternativeโ€™s strength is also its weakness, which is spreadsheets. Project management software was developed as a response to the limitations of spreadsheets. Smartsheet is maybe too smart in that itโ€™s complicated and difficult to use. That steep learning curve can be overcome with much time and effort, but having to buy add-ons to do important tasks such as time...
Source: www.projectmanager.com

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Smartsheet. While we know about 114 links to Matplotlib, we've tracked only 5 mentions of Smartsheet. 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 (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

Smartsheet mentions (5)

  • Feature id like to see
    It can probably be mimicked with SmartSheet project management software. A free account would be sufficient for this. Source: over 3 years ago
  • What are the everyday tools that you use in operating your small business?
    Smartsheet is a cloud-based spreadsheet tool that I use for client management, CRM tracking, and accounting. It has all of the features of Microsoft Excel, but it also allows you to share your sheets with others and work on them collaboratively. This is a great tool for small businesses because it allows you to keep track of all of your clients in one place, and you can access it from anywhere. Source: about 4 years ago
  • Rows.com: Spreadsheets on Steroids
    3. Business processes What Rows does falls mostly into the realm of small databases and business processes. And while each has their own approach, I'd say that most other "next-gen spreadsheets" are also focusing on these (big and important) use-cases. Airtable (https://airtable.com/), Spreadsheet.com (https://spreadsheet.com/) and Smartsheet (https://smartsheet.com/) all play mainly in this area. GRID is focusing... - Source: Hacker News / over 4 years ago
  • What do front-end developers do?
    I want to make apps like monday.com and smartsheet.com. I do not want to build websites. Source: about 5 years ago
  • Entry Level job/Salary Expectation/Skill needed for programming?
    Right now my passion is building web-based applications (not websites) and mobile apps. Like I want to build something similar to monday.com or smartsheet.com. I don't wanna build something like TurboTax or Windows or macOS. Source: about 5 years ago

What are some alternatives?

When comparing Matplotlib and Smartsheet, 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.

Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.

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

Wrike - Wrike is a flexible, scalable, and easy-to-use collaborative work management software that helps high-performance teams organize and accomplish their work. Try it now.

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

Basecamp - A simple and elegant project management system.

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