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locust VS codeBeamer

Compare locust VS codeBeamer and see what are their differences

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locust logo locust

An open source load testing tool written in Python.

codeBeamer logo codeBeamer

codeBeamer is the award winning Collaborative Application Lifecycle Management (ALM) solution for distributed software development.
  • locust Landing page
    Landing page //
    2021-10-11
  • codeBeamer Landing page
    Landing page //
    2021-07-31

locust features and specs

  • Scalability
    Locust is designed to distribute the load tests across multiple machines, allowing for high scalability and the ability to simulate millions of users.
  • Python-based
    The tool is written in Python, which makes it highly flexible and suitable for those who are familiar with the language. You can write custom test scenarios easily.
  • Web-based UI
    Locust provides a user-friendly web-based interface that makes it easy to monitor and control the test execution in real-time.
  • Real-time monitoring
    During test execution, you get real-time statistics and charts that help in monitoring the performance and load.
  • Open-source
    Being an open-source tool, Locust allows for community contributions and is free to use, which helps in continuous improvement and support from the user base.

Possible disadvantages of locust

  • Setup Complexity
    Initial setup can be somewhat complex, especially for large scale or distributed tests. Requires experience with Python and potentially other infrastructure setups.
  • Resource Intensive
    Locust can be resource-intensive, requiring significant compute resources, particularly when simulating large numbers of users.
  • Steeper Learning Curve
    Despite its flexibility, the requirement to write test scenarios in Python may present a learning curve for users not familiar with programming.
  • Limited Protocol Support
    Primarily designed for HTTP/HTTPS protocols, Locust might not be suitable for load testing applications that use other protocols without additional customization.
  • Dependence on External Libraries
    While the use of Python offers flexibility, it also means that you might need to rely on external libraries and tools, which can introduce dependency management issues.

codeBeamer features and specs

  • Integrated ALM Solution
    codeBeamer provides an integrated Application Lifecycle Management (ALM) platform that covers requirements, development, and testing, helping teams streamline their workflows.
  • Customization and Flexibility
    It offers extensive customization options, allowing teams to tailor the platform to meet specific project needs and organizational requirements.
  • Collaboration and Traceability
    The tool enhances collaboration by providing real-time data sharing across teams and offering end-to-end traceability for all processes and artifacts.
  • Regulatory Compliance Support
    codeBeamer supports compliance with industry standards and regulations such as ISO, FDA, and others, which is vital for companies in regulated industries.
  • Scalability
    The platform is highly scalable, capable of supporting both small teams and large enterprises with complex project requirements.

Possible disadvantages of codeBeamer

  • Complexity
    The extensive feature set can be overwhelming for new users, potentially leading to a steep learning curve.
  • Cost
    The pricing of codeBeamer can be a concern for smaller organizations, as it may be higher compared to other tools offering similar functionalities.
  • User Interface
    The user interface is sometimes considered less intuitive than other contemporary tools, which may affect the user experience.
  • Integration Limitations
    While there is integration capability, there can be limitations when integrating with certain third-party tools, which might require custom development.

locust videos

+ Add

Locust review - GTA Online guides

More videos:

  • Review - GTA Online: Ocelot Locust Review
  • Review - GTA 5 - DLC Vehicle Customization - Ocelot Locust and Review

codeBeamer videos

+ Add

codeBeamer - Code Review

More videos:

  • Review - Getting Started with codeBeamer ALM

Category Popularity

0-100% (relative to locust and codeBeamer)

locust

codeBeamer

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Project Management
0 0%
Project Management
100% 100
Website Testing
90 90%
Website Testing
10% 10
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 locust and codeBeamer

locust Reviews

We have no reviews of locust yet.
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codeBeamer Reviews

17 open source wiki engine/software
codeBeamer is the award winning Collaborative Application Lifecycle Management (ALM) solution for software and hardware development teams to manage their work process from requirements to release. it provide project management, wikis and knowledge management, document management, task, requirement and defect management, configuration management (ITIL), continuous...
Source: gadgetxplore.com

Social recommendations and mentions

Based on our record, locust seems to be a lot more popular than codeBeamer. While we know about 61 links to locust, we've tracked only 1 mention of codeBeamer. 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.

locust mentions (61)

  • 3 Types of Chaos Experiments and How To Run Them
    Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns. - Source: dev.to / 28 days ago
  • Outgrowing Postgres: How to identify scale problems
    Use load testing tools like Apache JMeter, Gatling, or Locust to measure your application's throughput under various loads and compare it to historical data. - Source: dev.to / 4 months ago
  • Five Advanced Techniques to Improve Automated Testing by 50%
    You should also incorporate performance testing into your daily builds to catch performance regressions early. For this, you can use Locust for load testing. You can also implement performance budgets in your CI/CD pipeline. This will allow you to fail builds that don't meet performance criteria, ensuring performance doesn't degrade over time. - Source: dev.to / 5 months ago
  • Why your FastAPI (or Flask) App performs poorly with high loads
    These tests were done on GCP Cloud Run using a single processor, and 512M RAM machine, and we used Locust, an incredible tool (for Python, LoL). - Source: dev.to / 7 months ago
  • How MySQL Tuning Can Dramatically Improve WordPress Performance
    Our test duration was 2 days. To handle this longer testing period, we switched from BlazeMeter (max test duration of 20 minutes) to Locust, an open-source load-testing tool. - Source: dev.to / 11 months ago
View more

codeBeamer mentions (1)

  • Hardware project management in JIRA
    Try Codebeamer, it's much more hardware-oriented than Jira. It can be integrated with Jira if required, or you can bring the software team over to it too. Source: about 4 years ago

What are some alternatives?

When comparing locust and codeBeamer, you can also consider the following products

Apache JMeter - Apache JMeter™.

Jira - The #1 software development tool used by agile teams. Jira Software is built for every member of your software team to plan, track, and release great software.

Loader.io - Loader.io is a simple cloud-based load testing service

Phabricator - Phacility - Phabricator

gatling.io - Gatling is an open-source load testing framework based on Scala, Akka and Netty

Sauce Labs - Test mobile or web apps instantly across 700+ browser/OS/device platform combinations - without infrastructure setup.

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