Low-code and no-code platforms are increasingly being utilized for computer vision projects, offering a new alternative to traditional open-source software and proprietary SaaS solutions. These platforms enable individuals without extensive coding knowledge to develop and deploy applications, thereby democratizing access to technology and accelerating the development process. The market for such platforms has grown significantly, especially since the pandemic, and is projected to expand further. Businesses are adopting these solutions to reduce costs, improve time-to-market, and enhance collaboration among non-technical teams. The platforms often come with pre-built AI models and templates, which simplify the development process and facilitate quicker debugging and deployment. Moreover, they incorporate high levels of data security, which is crucial for sensitive applications in sectors like healthcare and defense. Encord is highlighted as a key player in this domain, providing tools for data annotation and active learning that cater to various industries, making it easier for teams to manage computer vision projects effectively.