Software Alternatives & Startups

locust VS Ubertesters

Compare locust VS Ubertesters and see what are their differences

locust

An open source load testing tool written in Python.

Rating
0 reviews
Pricing
Open source
Ubertesters

Your reliable and friendly crowdsourced testing partner

Rating
0 reviews

Which is more popular?

Based on our record, locust seems to be a lot more popular than Ubertesters. While we know about 65 links to locust, we've tracked only 1 mention of Ubertesters.

social mentions
65 vs 1
Monitoring Tools popularity
100% vs 0%
alternatives listed
91 vs 121

Base details

Website, pricing, platforms and company facts side by side.

locust
Ubertesters
Website locust.io ubertesters.com
Pricing
Open source
Company — 2020
Listed in

About locust and Ubertesters

In their own words, as submitted to SaaSHub.

locust
Ubertesters

No description of locust yet.

Ubertesters has a long-standing reputation as a reliable testing company. We help businesses, large and small, reach their project goals, minimize their spending on testing, and ensure maximum reliability of the testing process. The outcome will be a successful release of a remarkable digital...

Read more about Ubertesters

Features and specs

What each product offers, as listed by its team.

locust 5 features
Ubertesters 6 features
  • 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.
  • Comprehensive Testing Platform
    Ubertesters offers a wide range of testing features including manual testing, automated testing, and bug tracking, providing a one-stop solution for QA needs.
  • Global Tester Community
    Access to a vast community of skilled testers from around the world, allowing for diverse and extensive testing across multiple devices, regions, and conditions.
  • User-Friendly Interface
    The platform has an intuitive interface that makes it easy to manage test cases, track bugs, and collaborate with team members.
  • Flexibility and Scalability
    The service offers flexible plans and can easily scale according to the size and requirements of the project, making it suitable for both startups and large enterprises.
  • Detailed Reporting
    Provides comprehensive and detailed reports that help teams understand the testing process, track progress, and make data-driven decisions.
  • Integration Capabilities
    Integrates with various third-party tools such as JIRA, Slack, and GitHub, facilitating seamless workflow and communication within teams.

Possible disadvantages

  • Cost
    While offering a wide range of features, Ubertesters can be relatively expensive, making it less accessible for very small startups or individual developers on a tight budget.
  • Complexity
    Despite its user-friendly interface, the extensive features and options can be overwhelming for new users or those unfamiliar with comprehensive testing platforms.
  • Dependency on Internet
    As a cloud-based platform, it requires a reliable internet connection for optimal performance, which can be a limitation in areas with poor connectivity.
  • Limited Offline Capabilities
    There are limited capabilities for offline testing and bug tracking, which may not be suitable for all project scenarios, especially those requiring field testing without internet access.
  • Learning Curve
    New users may require some time and training to fully utilize all the advanced features and tools offered by the platform.

Analysis

An editorial look at what each product does well and who it suits.

locust
Ubertesters

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.

Overall verdict

  • Ubertesters is generally considered a good option for businesses seeking an efficient and organized approach to mobile app testing. It is particularly valued for its extensive feature set, reliability, and the capability to help teams streamline their testing workflows.

Why this product is good

  • Ubertesters is a robust platform for managing mobile app testing processes. It provides tools for comprehensive beta testing, crowdtesting, and real-time bug tracking. Users often appreciate its ease of integration with other tools, scalability, and the ability to reach a wide range of devices for testing purposes. Its cloud-based infrastructure enables efficient collaboration among global QA teams.

Recommended for

    Ubertesters is ideal for mobile app developers and quality assurance teams who need thorough testing across multiple devices and platforms. It is especially beneficial for companies looking to scale their testing operations or those aiming to leverage crowdtesting to enhance app quality and usability.

Videos

Walkthroughs and reviews on video.

locust 3 videos + Add
Ubertesters 1 video + Add

Locust review - GTA Online guides

More videos

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

How to Test Customer's app or Website With Ubertesters

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
locust
Ubertesters
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using locust and Ubertesters. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

locust 65 mentions
Ubertesters 1 mention
  • 15 Common Kubernetes Pitfalls & Challenges
    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
  • Log Spikes? No Sweat: How Top DevOps Teams Tame Bursty Workloads
    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

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Alternatives to locust and Ubertesters

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