Likelihood to Recommend We started to use GitLab for hosting git source code repositories of our projects only but slowly we started to use it to store container images, packages, dependency proxy as well infrastucture registry and it is now well suited for Continuous Integration in our projects, It wasn't that good in Continuous Deployment before 12.0 version but after 12.0 it is amazingly good for Continuous Deployment as well since it keeps deployment information in a well organized manner which can be configure in ci yaml configuration.
Read full review It's easy to create virtual environments and install packages for different projects as we may need project-specific packages for doing our experiments, also it's easy to see what changes we have made and create pull requests faster. But sometimes we want some light python editor like Jupiter notebook as PyCharm is relatively heavier, also Jupiter notebooks are a good option when we need to run remote code on local machines.
Read full review Pros GitLab excels in managing code versions, allowing easy tracking of changes, branch management, and merging contributions. It helps maintain code stability and reliability, saving time and effort in the development or research workflow. Powerful code review features, enabling collaboration and feedback among team members. Robust project management features, including issue tracking, kanban boards, and milestones. Read full review Git integration is really essential as it allows anyone to visually see the local and remote changes, compare revisions without the need for complex commands. Complex debugging tools are basked into the IDE. Controls like break on exception are sometimes very helpful to identify errors quickly. Multiple runtimes - Python, Flask, Django, Docker are native the to IDE. This makes development and debugging and even more seamless. Integrates with Jupyter and Markdown files as well. Side by side rendering and editing makes it simple to develop such files. Read full review Cons CI variables management is sometimes hard to use, for example, with File type variables. The scope of each variable is also hard to guess. Access Token: there are too many types (Personal, Project, global..), and it is hard to identify the scope and where it comes from once created. Runners: auto-scaled runners are for the moment hard to put in place, and monitoring is not easy. Read full review The biggest complaint I have about PyCharm is that it can use a lot of RAM which slows down the computer / IDE. I use the paid version, and have otherwise found nothing to complain about the interface, utility, and capabilities. Read full review Likelihood to Renew Gitlab is the best in its segment. They have a free version, they have open-source software, they provide a good service with their SaaS product, they are a fully-remote company since the beginning (which means they are fully distributed and have forward-thinking IMO). I would certainly recommend them to everyone.
Read full review It's perfect for our needs, cuts development time, is really helpful for newbies to understand projects structure
Read full review Usability I find it easy to use, I haven't had to do the integration work, so that's why it is a 9/10, cause I can't speak to how easy that part was or the initial set up, but day to day use is great!
Read full review Support Rating At this point, I do not have much experience with Gitlab support as I have never had to engage them. They have documentation that is helpful, not quite as extensive as other documentation, but helpful nonetheless. They also seem to be relatively responsive on social media platforms (twitter) and really thrived when
GitHub was acquired by Microsoft
Read full review I rate 10/10 because I have never needed a direct customer support from the JetBrains so far. Whenever and for whatever kind of problems I came across, I have been able to resolve it within the internet community, simply by Googling because turns out most of the time, it was me who lacked the proper information to use the IDE or simply make the proper configuration. I have never came across a bug in PyCharm either so it deserves 10/10 for overall support
Read full review Alternatives Considered GitLab is easily the preferred tool when it comes to versioning and source control. With other tools the UI often feels outdated and clunky leading to inefficiency and confusion. With some of the sleeker tools such as
GitKraken , while the aesthetic is pleasing, the experience is plagued by a lack of support, lack of optional plugins, and a plethora of bugs that cause unnecessary legwork to resolve. GitLab is the best of both aesthetic and functionality
Read full review PyCharm is the best IDE for python development. PyCharm offers various features: source code completion, support for unit testing, integration with Docker/GitLab/Git, ability to manage and configure virtual environments, auto-indentation, and re-factoring code with ease. Support for JSON/Shell scripts and support for Flask/Django Other tools are effective for creating isolated scripts but not for handling projects with more than two scripts.
Read full review Return on Investment We were able to streamline our project's codebase which made us very organised and laid out a proper plan for development. Our deployment and infra pipelines are well structured now making our process 10x faster. We are more focused into project building rather infra, as infra is totally on autopilot mode. Which has enabled us to grow our ROI by records. Read full review Buying the licensed pro version is a bit costly, but overall because of its features and its speed, the time taken by a developer to develop something can be improved. Indirectly getting a good return of Investment. Considering the team size and its features, one can go for the licensed version as the ROI is high. Customer support is also good for a licensed version, thereby saving the time, which in turn shows ROI as high. Read full review ScreenShots