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Phabricator VS locust

Compare Phabricator VS locust and see what are their differences

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Phabricator logo Phabricator

Phacility - Phabricator

locust logo locust

An open source load testing tool written in Python.
  • Phabricator Landing page
    Landing page //
    2021-10-13
  • locust Landing page
    Landing page //
    2021-10-11

Phabricator features and specs

  • Comprehensive Toolset
    Phabricator offers a wide range of tools including code review, repository hosting, bug tracking, project management, and more, all integrated into one platform.
  • Customizability
    Users can customize workflows, forms, and other aspects to fit the specific needs of their projects.
  • Powerful Code Review
    Phabricator provides advanced code review features like inline comments, custom fields, and audit trails, making it a robust tool for maintaining code quality.
  • Open Source
    Being open-source, Phabricator allows organizations to host their instance, providing control over data and customizations without licensing fees.
  • Multi-repository Support
    It supports multiple version control systems (Git, Mercurial, and Subversion) and allows managing multiple repositories within the same project.

Possible disadvantages of Phabricator

  • Complex Setup
    Phabricator can be challenging to install and configure, requiring a good level of technical knowledge and infrastructure.
  • Steep Learning Curve
    New users might find it difficult to navigate and use all the features due to its extensive functionalities and less intuitive user interface.
  • Limited Third-Party Integrations
    Compared to other platforms, Phabricator has fewer integrations with third-party tools, which might be a limitation for some teams.
  • Dependency on Phacility's Future
    Phacility announced that they will cease operations, which means the future maintenance and updates of Phabricator could be uncertain.
  • Performance Issues
    For large-scale projects with many users and repositories, Phabricator may experience performance issues and could require significant resources to run smoothly.

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.

Phabricator videos

+ Add

Phabricator code review session at Wikimedia Hackathon Zurich

More videos:

  • Review - Phabricator and Lando Brownbag July 2 2018
  • Review - Nizameddin Ordulu - Phabricator: An all-in-one tool for code review

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

Category Popularity

0-100% (relative to Phabricator and locust)

Phabricator

locust

Code Collaboration
100 100%
Code Collaboration
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Git
100 100%
Git
0% 0
Website Testing
0 0%
Website Testing
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 Phabricator. While we know about 61 links to locust, we've tracked only 3 mentions of Phabricator. 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.

Phabricator mentions (3)

  • Migrating from Phabricator to Azure Devops. Have some questions.
    My company has used Phabricator, which is an alternative to Azure Devops, for about 5 years. A few days ago they announced that the project won't be maintained anymore, so we are looking into alternatives. We have around 50 devs+product folks that use Phabricator at the moment. Source: almost 4 years ago
  • Is there any "Unified HUB SOlution" in this Microservices era?
    You also mention Gitlab is close to what you would like - maybe Phabricator is even closer: https://phacility.com/phabricator/. Source: about 4 years ago
  • Is there an alternative to open project with the next characteristics ?
    Https://phacility.com/phabricator/ I think checks most of those boxes, maybe all. Source: about 4 years ago

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 / 29 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

What are some alternatives?

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

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

Apache JMeter - Apache JMeter™.

GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

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

BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.

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

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