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.
Measure helps mobile teams monitor and fix crashes, ANRs, bugs, and performance issues. The open source alternative to Firebase Crashlytics.
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Which is more popular?
Based on our record, GitHub
seems to be a lot more popular than locust.
While we know about 2526 links to GitHub,
we've tracked only 65 mentions of locust.
social mentions
2,526 vs 65
Software Development popularity
100% vs 0%
alternatives listed
240+ vs 91
Base details
Website, pricing, platforms and company facts side by side.
collaboration GitHub provides a platform for multiple developers to work on the same project concurrently, facilitating collaboration through features like pull requests, code reviews, and issues tracking.
integration GitHub integrates seamlessly with various third-party tools and services, such as CI/CD pipelines, project management tools, and many development environments, enhancing productivity and workflow efficiency.
version_control Utilizes Git for version control, allowing users to track changes, revert to previous versions if necessary, and manage different branches of development, ensuring code stability and history tracking.
community With millions of developers and a vast repository of open-source projects, GitHub fosters a robust community where users can contribute to projects, seek help, share knowledge, and collaborate broadly.
availability GitHub is a cloud-based platform, which means that projects are accessible from anywhere with an internet connection, providing flexibility and convenience to developers globally.
documentation GitHub allows for comprehensive project documentation through README files, wikis, and GitHub Pages, making it easier for users to understand project context and contribute effectively.
Possible disadvantages
cost While GitHub offers free plans, more advanced features and private repositories come at a cost, which might be a barrier for some individuals or small teams.
steep_learning_curve For newcomers, especially those unfamiliar with Git, the learning curve can be quite steep, making it challenging to utilize all of GitHub's features effectively.
privacy_concerns Given its expansive, open nature, users must be cautious with sensitive or proprietary information. Even with private repositories, there is a latent concern over data privacy and security.
interface_complexity The user interface, while powerful, can be overwhelming and complex for beginners or those not deeply familiar with version control concepts.
performance_issues Occasionally, GitHub may experience downtime or performance issues, which can disrupt workflow and prevent access to repositories temporarily.
limited_storage GitHub imposes limitations on storage space and file size within repositories, which can be restrictive for projects requiring large datasets or binaries.
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.
Analysis
An editorial look at what each product does well and who it suits.
GitHublocust
Overall verdict
GitHub is considered an excellent choice for developers and teams looking for a reliable and efficient platform for version control and collaboration. Its community support, extensive documentation, and innovative features make it a preferred choice in the software development community.
Why this product is good
GitHub is a widely used platform for version control and collaboration, popular among developers and teams for its robust features, ease of use, and integration capabilities. It allows for streamlined project management, code review, and continuous integration, enhancing productivity and collaborative workflows.
Recommended for
Individual developers working on personal projects
Software development teams in need of collaborative tools
Open-source project maintainers and contributors
Organizations looking for scalable version control solutions
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.
GitHub is an essential platform for modern software development. It makes it easy to host, manage, and collaborate on code while providing powerful tools for version control, project management, and team...
GitHub Discussions is a communication forum for the community around an open source or internal project. Discussions enable fluid, open conversation in a public forum. Discussions are transparent and accessible, but...
However, like any (human) product, the platform has its limits, downsides, and critics. GitHub has been barred by certain governments, and even if that isn’t exactly the company’s fault, the users are the ones limited...
Recommendations tracked on public social media and blogs since March 2021.
GitHub2526 mentionslocust65 mentions
Incident with Pull Requests, Git Operations and Issues
Temporary workaround is to do git config --global url."https://github.com/ git@github.com: so it pushes / pulls using HTTPS when things are back to normal run: git config --global --unset url."https://github.com/.
- Source: Hacker News
/
about 8 hours ago
The problem is that the URL has to be reachable from the public internet. During development, your application runs on localhost:3000, behind a home router or an office NAT. GitHub, Stripe, and Slack cannot reach that address. To test...
- Source: dev.to
/
1 day ago
How to Download an Entire Website With wget (--mirror Alone Breaks Links)
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
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