Software Alternatives, Accelerators & Startups

Veracode VS Plotly

Compare Veracode VS Plotly and see what are their differences

Veracode logo Veracode

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

Plotly logo Plotly

Low-Code Data Apps
  • Veracode Landing page
    Landing page //
    2023-10-15
  • Plotly Landing page
    Landing page //
    2023-07-31

Veracode

Pricing URL
-
Release Date
2006 January
Startup details
Country
United States
City
Burlington
Founder(s)
Chris Wysopal
Employees
250 - 499

Veracode features and specs

  • Comprehensive Security Coverage
    Veracode offers a wide range of services including static analysis, dynamic analysis, software composition analysis, and manual penetration testing, providing comprehensive security coverage for applications.
  • Scalability
    Veracode's cloud-based platform is highly scalable, making it suitable for organizations of all sizes, from startups to large enterprises.
  • Ease of Use
    The platform is designed to be user-friendly, with an intuitive interface and comprehensive documentation, helping to reduce the learning curve for new users.
  • Integration Capabilities
    Veracode integrates seamlessly with various development tools and CI/CD pipelines, enhancing workflow efficiency and reducing friction for development teams.
  • Actionable Insights
    The platform provides detailed reports and actionable insights that help developers understand and address vulnerabilities more effectively.
  • Compliance Support
    Veracode helps organizations comply with various regulatory requirements such as GDPR, HIPAA, and PCI DSS by providing necessary security measures and documentation.
  • Regular Updates
    The platform is regularly updated with new features and security measures to keep up with the evolving threat landscape.

Possible disadvantages of Veracode

  • Cost
    Veracode may be expensive for small businesses and startups, especially those with limited budgets for cybersecurity.
  • False Positives
    Like many automated security tools, Veracode can sometimes generate false positives, which might require additional effort to review and validate.
  • Performance Impact
    Running extensive security scans, particularly dynamic analysis, can be resource-intensive and might impact application performance during the scanning process.
  • Learning Curve for Advanced Features
    While basic functionalities are straightforward, leveraging some of the more advanced features may require additional training and expertise.
  • Dependency on Internet Connectivity
    Being a cloud-based solution, Veracode requires reliable internet connectivity, which might be a limitation for organizations in areas with unstable internet access.
  • Limited Customizability
    Some users may find that the platform offers limited customization options compared to other on-premises solutions.
  • Support Response Time
    Some users have reported that the response time for customer support can be slower than expected, particularly during peak times.

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 Veracode

Overall verdict

  • Overall, Veracode is a highly regarded solution in the realm of application security, offering robust features and integrations that make it suitable for businesses looking to strengthen their software security posture.

Why this product is good

  • Veracode is considered a good option for application security because it offers a comprehensive cloud-based platform that integrates with various DevOps tools and workflows, making it easy for organizations to maintain secure software development practices. It provides thorough static and dynamic analysis, software composition analysis, and manual penetration testing, all of which help identify and remediate vulnerabilities effectively. The platform's ease of integration and its ability to support multiple languages and frameworks add to its reputation as a reliable and efficient security tool.

Recommended for

    Veracode is particularly recommended for medium to large-sized enterprises that have substantial software development activities. It suits organizations that need to adhere to strict compliance requirements, such as those in finance, healthcare, and other regulated industries. Additionally, it is a good fit for teams that prioritize seamless integration with existing DevOps practices.

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.

Veracode videos

Veracode Explained in 2 Minutes

More videos:

  • Review - Navigate the Veracode Homepage, Submit a Static Scan, and Review Results
  • Review - Veracode Review (Real User: Tim Jee)

Plotly videos

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 Veracode and Plotly)
Web Application Security
100 100%
0% 0
Data Visualization
0 0%
100% 100
Code Analysis
100 100%
0% 0
Charting Libraries
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 Veracode and Plotly

Veracode Reviews

The Top 11 Static Application Security Testing (SAST) Tools
Veracode Standout Features: Key features include support for over 100 languages and frameworks, integration with IDEs and APIs for custom workflows, extensive documentation, and a low false positive rate. Veracode integrates seamlessly with popular development tools, offering a centralized management portal and a scalable cloud architecture.
Top 11 SonarQube Alternatives in 2024
Veracode is a leading provider of application security solutions. It offers a comprehensive suite of security testing tools that help organizations identify and remediate vulnerabilities in their applications. Veracode's tools are used by a wide range of organizations, from small businesses to large enterprises, to protect their applications from cyberattacks.
Source: www.codeant.ai
The 5 Best SonarQube Alternatives in 2024
Veracode's extensive integrations and focus on working within existing developer environments address the "not engineer-friendly" complaint sometimes leveled at SonarQube, and Veracode's interactive developer education features can help teams build security knowledge over time, potentially easing the steep learning curve associated with security tools.
Source: blog.codacy.com
Ten Best SonarQube alternatives in 2021
Veracode helps groups that innovate via software programs deliver comfy code on time. Veracode contrasts to on-premise answers, which can be tough to scale and targeted on finding instead of solving.
Source: duecode.io
TOP 40 Static Code Analysis Tools (Best Source Code Analysis Tools)
Veracode is a static analysis tool that is built on the SaaS model. This tool is mainly used to analyze the code from a security point of view.

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.
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...
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.

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. 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.

Veracode mentions (0)

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

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 Veracode and Plotly, you can also consider the following products

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

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.

GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab

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

Acunetix Vulnerability Scanner - Acunetix Vulnerability Scanner is a platform that offers a web vulnerability scanner and provides security testing to users for their web applications.

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.