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Matplotlib VS Code42

Compare Matplotlib VS Code42 and see what are their differences

NinjaOne
NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools. featured
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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...

Code42 logo Code42

Code42 is a SaaS solution for enterprises that secures all user data on one secure platform, leaving you and your business secure in the knowledge that both your employee's and customer's data is protected. Read more about Code42.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Code42 Landing page
    Landing page //
    2023-09-12

Matplotlib

Website
matplotlib.org
Pricing URL
-
$ Details
Release Date
-
Edit details

Code42

Website
code42.com
Pricing URL
Official Code42 Pricing
$ Details
-
Release Date
2001 January
Startup details
Country
United States
State
Minnesota
City
Minneapolis
Founder(s)
Brian Bispala
Employees
500 - 999
Edit details

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.

Code42 features and specs

  • Comprehensive Data Protection
    Code42 offers extensive data backup and recovery solutions, ensuring that user data is protected against loss or accidental deletion.
  • Real-Time Backup
    The platform provides real-time and continuous backups, minimizing data loss by ensuring the latest data is always protected.
  • Cross-Platform Support
    Code42 supports multiple operating systems, including Windows, macOS, and Linux, offering flexibility for diverse IT environments.
  • User-Friendly Interface
    The software features an intuitive and easy-to-navigate interface, making it accessible even for users with limited technical knowledge.
  • Strong Security Measures
    Code42 implements robust encryption both in transit and at rest, ensuring that user data remains secure and confidential.
  • Scalability
    The platform is designed to scale with business growth, from small businesses to large enterprises, providing tailored solutions as needs evolve.
  • Centralized Management
    Administrators can manage and monitor all backups from a central dashboard, simplifying oversight and ensuring compliance with company policies.

Possible disadvantages of Code42

  • Cost
    Code42 can be expensive, especially for small businesses or startups that may have limited IT budgets.
  • Bandwidth Consumption
    Real-time backups can sometimes use significant bandwidth, potentially affecting other network activities if not managed properly.
  • Resource Intensive
    The software can be resource-intensive, potentially slowing down older or less powerful systems during backup operations.
  • Complexity in Large Deployments
    While scalable, large enterprise deployments may require significant time and expertise to set up and manage effectively.
  • Limited Mobile Support
    Currently, Code42 offers limited functionality on mobile devices compared to its desktop application.

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

Code42 videos

+ Add

Introducing Code42 Next-Gen Data Loss Protection

More videos:

  • Review - MACOM Protects IP from Insider Threats with Code42 and Splunk
  • Review - You asked. We answered with Code42 CrashPlan 5.0

Category Popularity

0-100% (relative to Matplotlib and Code42)

Matplotlib

Code42

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Cloud Storage
0 0%
Cloud Storage
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 Code42

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

Code42 Reviews

Best Nessus Alternatives (Free and Paid) for 2021
Code42โ€™s Threat and Vulnerability Management software monitors for vulnerabilities on an on-going basis. It also conducts monthly internal as well as external vulnerability scans using industry-recognized top-notch vulnerability scanning tools. Identified vulnerabilities are evaluated, documented, and remediated to avoid any potential risk of the data breach.
Source: www.softwaretestingmaterial.com

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Code42. While we know about 114 links to Matplotlib, we've tracked only 1 mention of Code42. 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 / 7 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

Code42 mentions (1)

  • Looking for the best cloud backup for all my files
    It's not a big surprise, given that Code42 (the parent company) pretends they have nothing to do with Crashplan. They've done a massive pivot to some kind of security company, with ZERO references to the OG product of Crashplan on code42.com, which (I'm guessing) is the bulk of their revenue. If you do a site search on google, you'll find some old links, but they just push you over to crashplan.com. Source: about 4 years ago

What are some alternatives?

When comparing Matplotlib and Code42, 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.

Symantec Data Loss Prevention - Fully protect your data with the comprehensive detection technologies and unified policies of Symantec's industry leading Data Loss Prevention (DLP).

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

Microsoft BitLocker - BitLocker is a full disk encryption feature included with Windows Vista and later.

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

Paubox - Paubox provides HIPAA compliant email encryption without the hassle of extra steps.

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