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Matplotlib VS PandaDoc

Compare Matplotlib VS PandaDoc 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...

PandaDoc logo PandaDoc

Boost your revenue with PandaDoc. A document automation tool that delivers higher close rates and shorter sales cycles. We've helped over 30,000+ companies.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • PandaDoc Landing page
    Landing page //
    2023-08-25

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.

PandaDoc features and specs

  • User-Friendly Interface
    PandaDoc offers an intuitive and easy-to-navigate interface, making it simple for users to create, send, and manage documents without extensive training.
  • Efficient Templates
    The platform provides a wide range of customizable templates that can save time and ensure consistency across documents.
  • eSignature Integration
    Built-in eSignature functionality allows users to sign and collect signatures electronically, streamlining the document approval process.
  • Document Analytics
    PandaDoc includes advanced analytics that allow users to track document views, time spent on each section, and other valuable engagement metrics.
  • CRM Integrations
    Seamless integration with major CRM systems (e.g., Salesforce, HubSpot) allows for more effective document management and improved sales workflows.
  • Collaboration Tools
    Built-in collaboration features such as comments and real-time editing enable teams to work together more effectively on documents.
  • Mobile Access
    PandaDoc offers mobile apps for both iOS and Android, allowing users to manage documents on the go.
  • Automated Workflows
    The platform supports automated workflows that can help streamline repetitive tasks and reduce manual errors.

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 PandaDoc

Overall verdict

  • PandaDoc is a strong choice for businesses seeking efficient document management solutions, especially those that require electronic signatures and integration with existing workflows. Its simplicity and comprehensive feature set make it a valuable tool for improving productivity and collaboration.

Why this product is good

  • PandaDoc is considered good due to its user-friendly interface, extensive features tailored for sales teams and businesses, and its ability to streamline the document creation and management process. It offers easy-to-use templates, seamless integrations with popular CRM and project management tools, and robust analytics to track document performance. Additionally, PandaDoc supports electronic signatures, making it easier to finalize contracts and agreements quickly.

Recommended for

    PandaDoc is recommended for sales teams, small to medium-sized businesses, and enterprises that need to manage, create, and sign business documents digitally. It's particularly useful for organizations looking to enhance their sales processes and improve client interactions through professional and customizable document solutions.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

PandaDoc videos

Review: PandaDoc vs DocuSign

More videos:

  • Review - PandaDoc | HubSpot | HubDo - Streamlining Your Proposal Process
  • Review - PandaDoc Review
  • Review - PandaDoc review 2021
  • Tutorial - Pandadoc Tutorial 2024: How To Use Pandadoc For Beginners
  • Review - PandaDoc Review: Best Document Creation, Management & Signing Tool out there.

Category Popularity

0-100% (relative to Matplotlib and PandaDoc)
Technical Computing
100 100%
0% 0
Document Automation
0 0%
100% 100
Data Science And Machine Learning
Document Management
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 Matplotlib and PandaDoc

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 doesn’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...

PandaDoc Reviews

10 best PandaDoc alternatives & competitors in 2024
PandaDoc offers a very limited free option. Users can’t access PandaDoc’s template library or use its drag-and-drop editor on the free plan. After the free plan, PandaDoc’s lowest pricing tier is $35 per user, per month or $228 per user, per year. This Essentials plan has several limitations. Many features are only available on the more expensive plans, including the content...
Source: www.jotform.com
Top 20 PandaDoc Alternatives and Competitors in 2024
It’s essential to find the right tool to boost productivity and efficiency in contract management. In this article, we’ll provide you with the best PandaDoc alternatives and an overview of their strongest features to help you make an informed decision.
Source: oneflow.com
The Top 10 Best PandaDoc Alternatives to Manage Documents in 2024
While PandaDoc shines as an electronic signature software with a user-friendly interface, its basic plan might lack the advanced features and customization options you need. Additionally, PandaDoc’s focus on document creation and digital signatures might require additional productivity tools to manage other tasks.
Source: clickup.com
5 Popular Ways to Sign Forms Online
PandaDoc offers a limited feature free account service, an Essentials account for $19 per month with access to templates and live support and a Business level account with access to PandaDoc’s content library and integration connectors.
12 Best Contract Management Software 2022
PandaDoc is an all-in-one contract and document management software with customizable functions to suit all types of businesses. The software hosts a plethora of documents and e-signatures. It also has a self-service portal that allows contractual parties to access all the information in a contract. This encourages team collaboration and easier communication.

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than PandaDoc. While we know about 107 links to Matplotlib, we've tracked only 3 mentions of PandaDoc. 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

PandaDoc mentions (3)

  • Is there a web based tool that can save handwritten signatures a la how Preview does it?
    IF they have an iPhone, they can scan their handwriting via notes > camera > scan document. Maybe using Yousign.com or pandadoc.com could help? Source: almost 3 years ago
  • Are Virtual Signatures valid for NDA & Agreements?
    I own a start-up in India and we sign NDA and Service Level agreements (physical copies) over courier. I'm looking for digital signature service with leegality.com, signdesk.com, eversign.com, pandadoc.com & DocuSign.com and found the conventional way of signing the agreement is of the following. Source: almost 3 years ago
  • Business aspect of making an independent film- daunting!
    If you start an LLC, you're going to be applying for an EIN anyway. You'll definitely need an accountant. Probably could find lots of templates and documents online for free (lawdepot.com, pandadoc.com, eforms.com, docracy.com, usefyi.com) And yes your crew would probably be 1099. Source: almost 4 years ago

What are some alternatives?

When comparing Matplotlib and PandaDoc, 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.

DocuSign - Try DocuSign's interactive signing demo now! Send yourself an electronic document to digitally sign using our e-signature service.

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

Proposify - A simpler way to deliver winning proposals to clients.

Plotly - Low-Code Data Apps

Qwilr - Turn your quotes, proposals and presentations into interactive and mobile-friendly webpages that...