Software Alternatives, Accelerators & Startups

locust VS SuperOps

Compare locust VS SuperOps and see what are their differences

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locust logo locust

An open source load testing tool written in Python.

SuperOps logo SuperOps

Modern PSA and RMM Software for MSP's and IT Teams
Visit Website
  • locust Landing page
    Landing page //
    2021-10-11
  • SuperOps Homescreen
    Homescreen //
    2025-05-13
  • SuperOps Project management
    Project management //
    2025-05-13
  • SuperOps Policy Management
    Policy Management //
    2025-05-13
  • SuperOps patch Management
    patch Management //
    2025-05-13
  • SuperOps Network Monitoring
    Network Monitoring //
    2025-05-13
  • SuperOps Invoicing
    Invoicing //
    2025-05-13
  • SuperOps Event Triggers
    Event Triggers //
    2025-05-13
  • SuperOps Client management
    Client management //
    2025-05-13
  • SuperOps Asset Management
    Asset Management //
    2025-05-13

SuperOps is a future-ready, unified PSA-RMM platform for fast-growing MSPs. Powered with the goodness of AI and intelligent automation, SuperOps.com is packed with all the features that a modern MSP needs, including project management and IT documentation.

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.

SuperOps features and specs

  • User-Friendly Interface
    SuperOps offers an intuitive and easy-to-navigate interface that can be accessed with minimal training, making it user-friendly for IT and service management teams.
  • Comprehensive ITSM Tools
    This platform provides an extensive set of IT Service Management (ITSM) tools, allowing businesses to efficiently handle IT operations and workflows in one unified environment.
  • Automation Capabilities
    SuperOps includes automation features that simplify repetitive tasks, thereby saving time and reducing the potential for human errors in processes.
  • Integration Options
    The platform offers seamless integration with various third-party tools and services, enhancing its functionality and allowing users to have a more cohesive IT ecosystem.
  • Scalability
    SuperOps can scale according to the size of the business, providing flexibility for growth and adjusting resources as necessary.

Analysis of locust

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.

locust videos

Locust review - GTA Online guides

More videos:

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

SuperOps videos

Introducing SuperOps.ai, the new-age PSA-RMM solution for MSPs

More videos:

  • Review - Automation Overview | SuperOps.ai
  • Review - SuperOps Review: 12 Things You Need To Know Before Buying (Best RMM Software)
  • Review - SuperOps vs NinjaOne 2025: Which RMM Tool Is Better?
  • Review - SuperOps in 90 Seconds: The Future of PSA & RMM for MSPs!

Category Popularity

0-100% (relative to locust and SuperOps)
Monitoring Tools
88 88%
12% 12
MSP
0 0%
100% 100
Website Testing
100 100%
0% 0
IT Asset Management
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, locust seems to be a lot more popular than SuperOps. While we know about 65 links to locust, we've tracked only 2 mentions of SuperOps. 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 (65)

  • 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 earlier, ensuring your Pods will scale seamlessly when real traffic arrives. - Source: dev.to / 9 months 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 / 10 months ago
  • Log Spikes? Noย Sweat: How Top DevOps Teams Tame Bursty Workloads
    But you donโ€™t have to operate at Netflixโ€™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 alerting respond to the increased load. Tools like Grafanaโ€™s k6 and Locust can simulate thousands of requests per second, while synthetic log generators mimic bursty error scenarios. - Source: dev.to / about 1 year ago
  • Serving 200M requests per day with a CGI-bin
    I mean honestly - the "classic" Apache model of throwing things into the www root is very strong for rapid development. Hot code reloading is sometimes finicky, you can end up with unexpected hidden state and lose sanity over a stupid heisenbug. Trust me. IMO you don't need to compensate for bad configs if you're using a proper staging environment and push-button deployments (which is good practice regardless of... - Source: Hacker News / about 1 year ago
  • 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 / about 1 year ago
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SuperOps mentions (2)

  • RMM
    Chris from SuperOps.ai here. I would definitely suggest you to have a look at SuperOPs PSA&RMM platform as you are looking an affordable and modern solution to kick start your business. We do also have special offers for the start up. So feel free to take a free demo with us today!. Source: over 4 years ago
  • Looking for something to pair with Connectwise Control (Screen connect)
    Bluetrait.io might be something to look into (Free for the first 50 endpoints as well). I had it set up for Screen Connect integration as an initial agent task after first install. superops.ai also has Screen Connect integration. Source: over 4 years ago

What are some alternatives?

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

Apache JMeter - Apache JMeterโ„ข.

Atera - Atera is reinventing the world of IT by harnessing AI to power our all-in-one Remote Monitoring and Management (RMM), Helpdesk, Ticketing, and automations platformโ€”streamlining organizational IT management at scale with our proprietary Action AIโ„ข.

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

NinjaOne - NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools.

AT Internet - Transform your data into action with our powerful and flexible digital analytics solution.

ConnectWise Automate - Solve IT Problems with ConnectWise Automate, Remote Monitoring and Remote Management Software. Visit to boost the effectiveness of your IT teams.โ€ŽTry ConnectWise Automate .