Forge your schedule, not spreadsheets. Drag-and-drop work orders, capacity-aware line scheduling, shop floor kiosk clocking, AI what-if scenarios, and a daily dashboard that tells you what needs attention.
sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Which is more popular?
Based on our record, locust
seems to be a lot more popular than codeBeamer.
While we know about 65 links to locust,
we've tracked only 1 mention of codeBeamer.
social mentions
65 vs 1
Monitoring Tools popularity
100% vs 0%
alternatives listed
91 vs 166
Base details
Website, pricing, platforms and company facts side by side.
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
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.
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
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.
Analysis
An editorial look at what each product does well and who it suits.
locustcodeBeamer
Overall verdict
Locust is a powerful and flexible tool for load testing, particularly advantageous for teams familiar with Python. Its scalability and ease of setup make it a strong choice for both small and large projects.
Why this product is good
Locust (locust.io) is considered a good tool for load testing due to its easy-to-use, scalable, and distributed nature. Written in Python, it allows developers to write simple or complex test scenarios in the same language. It enables the simulation of millions of users by distributing tasks across multiple machines, making it highly valuable for performance testing of websites and applications. The web-based user interface is another advantage, allowing real-time monitoring of test progress and results.
Recommended for
Development teams looking for a scalable load testing tool.
Organizations that prefer open-source solutions.
Projects requiring custom test scenarios in Python.
Teams needing real-time monitoring and distributed testing capabilities.
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...
Social recommendations and mentions
Recommendations tracked on public social media and blogs since March 2021.
Regularly review your cluster's utilization to check whether it's still suitable for your workloads. Test autoscaling rules by using a load-testing tool like Locust to direct excess traffic to your cluster. This lets you spot problems...
- Source: dev.to
/
about 1 year ago
Small-Scale Chaos Testing: The Missing Step Before Production
Locust: While primarily a load testing tool, it can be used to simulate user behavior under stress.
- Source: dev.to
/
about 1 year ago
But you don’t have to operate at Netflix’s scale to benefit from the same mindset. Effective teams simulate log floods during load tests, which push traffic through staging environments while tracking how ingestion, indexing, and...
- Source: dev.to
/
over 1 year ago
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:
over 5 years ago
Alternatives to locust and codeBeamer
When comparing locust and codeBeamer, you can also consider the following products.
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.
SoapUI Pro is one of the most prominent API testing platforms around, allowing developers to quickly prototype the functions of their apps and get them to market with little hassle.
Apache JMeter
Loader.io
gatling.io
k6 Cloud
AT Internet
Simple Analytics
Low Orbit Ion Cannon
Sauce Labs
Jira
soapUI
Phabricator
Helix ALM
TestRail
Luciq
