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Checkmarx VS Plotly

Compare Checkmarx VS Plotly and see what are their differences

JackHamr
AI agents that spec, build, test, and ship code โ€” with voice chat, deep GitHub integration, and zero LLM markup. featured
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Checkmarx logo Checkmarx

The industryโ€™s most comprehensive AppSec platform, Checkmarx One is fast, accurate, and accelerates your business.

Plotly logo Plotly

Low-Code Data Apps
  • Checkmarx Landing page
    Landing page //
    2022-07-29
  • Plotly Landing page
    Landing page //
    2023-07-31

Checkmarx features and specs

  • Comprehensive Coverage
    Checkmarx provides extensive support for multiple programming languages and frameworks, allowing for a broad range of applications to be scanned.
  • Integration Capabilities
    The platform integrates well with various DevOps tools and CI/CD pipelines, making it easier to incorporate security checks into the software development lifecycle.
  • Customization
    Offers highly customizable rule sets that can be tailored to specific security requirements and coding standards of the organization.
  • User-Friendly Interface
    Features an intuitive and easy-to-navigate user interface that allows users to efficiently manage and analyze security vulnerabilities.
  • Scalability
    Designed to scale efficiently, Checkmarx can handle large codebases and multiple projects concurrently without significant performance degradation.
  • Strong Reporting Capabilities
    Provides detailed and actionable reports that help developers and security teams quickly understand and address vulnerabilities.
  • Automation
    Supports automated scanning, which helps reduce manual efforts and accelerates the vulnerability detection process.

Possible disadvantages of Checkmarx

  • Cost
    Checkmarx can be expensive, especially for small to medium-sized organizations with limited budgets for security tools.
  • False Positives
    Although comprehensive, the platform sometimes generates false positives, which can lead to unnecessary work and distractions for development teams.
  • Learning Curve
    New users may face a steep learning curve due to the wide range of features and customization options available.
  • Performance Overhead
    In some cases, scanning large and complex codebases can be time-consuming and resource-intensive, potentially impacting development timelines.
  • Customer Support
    Some users have reported that customer support can be slow to respond and may not always provide satisfactory solutions to issues.
  • Initial Setup
    The initial setup process can be complex and time-consuming, requiring considerable effort to properly configure all settings and integrations.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of Checkmarx

Overall verdict

  • Yes, Checkmarx is generally regarded as a reliable and effective application security testing solution. Its robust features and proactive approach to identifying and mitigating security risks make it a valuable tool for organizations focused on maintaining a secure software development process.

Why this product is good

  • Checkmarx is considered a good choice for application security due to its comprehensive suite of tools designed to identify vulnerabilities early in the software development lifecycle. It offers features like Static Application Security Testing (SAST), Software Composition Analysis (SCA), and Interactive Application Security Testing (IAST). The platform provides a high level of accuracy, integrates well with various development environments, and supports numerous programming languages. Additionally, Checkmarx is known for its ease of use and detailed reporting capabilities, which help developers quickly address security issues.

Recommended for

  • Companies looking for a comprehensive application security platform.
  • Development teams that need seamless integration with CI/CD pipelines.
  • Organizations that require support for multiple programming languages.
  • Security professionals who prioritize early vulnerability detection and detailed reporting.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Checkmarx videos

+ Add

Viewing results and understanding security issues via Checkmarx online scanner

More videos:

  • Demo - Checkmarx CxSAST Demonstration
  • Review - Meetups at Checkmarx: An Introduction to API Security
  • Review - Source code review with Checkmarx
  • Review - Checkmarx Results Review

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Checkmarx and Plotly)

Checkmarx

Plotly

Code Analysis
100 100%
Code Analysis
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Web Application Security
100 100%
Web Application Security
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Checkmarx and Plotly. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Checkmarx and Plotly

Checkmarx Reviews

The Top 11 Static Application Security Testing (SAST) Tools
Why We Picked Checkmarx SAST: We like Checkmarx SAST for its early detection of vulnerabilities, which enables faster and safer code development. Its AI-assisted prioritization of vulnerabilities according to severity and risk helps reduce false positives.
Source: expertinsights.com
Top 11 SonarQube Alternatives in 2024
Checkmarx is a developer-centric security tool that specializes in secure coding practices and compliance. It helps developers identify and fix security vulnerabilities in their code, ensuring that their applications are secure and compliant with regulatory standards. Checkmarx offers a range of tools and features to help developers build secure applications, including...
Source: www.codeant.ai
The 5 Best SonarQube Alternatives in 2024
While SonarQube offers some security features, Checkmarx provides a more holistic approach to application security, covering a more comprehensive range of security aspects throughout the SDLC. Checkmarx One's consolidation of multiple AppSec tools into a single platform could simplify management and reduce the total cost of ownership compared to using SonarQube alongside...
Source: blog.codacy.com
Ten Best SonarQube alternatives in 2021
CheckMarx has been used to test the programs to rectify vulnerability in the code and try the security lapses. Checkmarx is the software program exposure Platform for the enterprise. It has an impressive Codebashing characteristic that has the threshold over SonarQube. The software tracking-reporting function is good too. The "delta-experiment" function is it's far genuinely...
Source: duecode.io

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Checkmarx. It has been mentiond 34 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.

Checkmarx mentions (4)

  • Troubleshooting Broken Function Level Authorization
    Tools like OWASP ZAP are excellent for dynamic application security testing, while SonarQube and Checkmarx specialize in static security testing. These tools integrate seamlessly into your pipeline, automating checks and enabling you to catch and resolve issues quickly - before they ever make it to production. - Source: dev.to / 10 months ago
  • Penetration Testing for API Security: Protecting Digital Gateways
    Tools like SonarQube, Checkmarx, or Snyk can automate parts of this process by scanning for known vulnerability patterns. While white box testing may not reflect real-world attack scenarios (as attackers rarely access source code), it provides the most thorough assessment of security posture. - Source: dev.to / about 1 year ago
  • A Guide to DevSecOps with API Gateway
    Automate security testing: Use tools such as OWASP ZAP, SonarQube, or Checkmarx to automate security testing. This will help you identify security issues early in the development process and reduce the risk of vulnerabilities being introduced into your code. - Source: dev.to / over 3 years ago
  • 11 Top DevSecOps Tools
    Application Security (AppSec) is the forte of Checkmarx, which is an award-winning AppSec Testing tool that integrates security policies into the DevOps workflow and ensures security across the application lifecycle. Checkmarx scans all your code and provides actionable insights for critical vulnerabilities. Checkmarx also offers developer-friendly AppSec training that makes the transition to DevSecOps more... - Source: dev.to / over 4 years ago

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing Checkmarx and Plotly, you can also consider the following products

Veracode - Veracode's application security software products are simpler and more scalable to increase the resiliency of your application infrastructure.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Coverity Scan - Find and fix defects in your Java, C/C++ or C# open source project for free

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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