Tech stack at Machine Learning Reply
Learn about the 21 tools and technologies that Machine Learning Reply uses to build, market, and sell its products.
Languages & Frameworks
These are the programming languages and software frameworks used for developing software, encompassing a variety of applications from web development to data analysis and machine learning.
Development
This category includes essential tools used throughout the software development lifecycle, covering areas such as version control, code testing, and the building and deployment of code. These tools aim to enhance productivity, ensure code quality, and facilitate collaboration among team members.
Libraries
These are collections of pre-written code that developers can use to save time and improve code reliability. Libraries provide ready-to-use solutions for common programming tasks and are often specialized for specific programming languages or frameworks.
Data Stores
This category includes tools and services that store, manage, and process data, ranging from structured to unstructured data types. These can be databases or data warehousing tools, capable of handling large volumes of information and often featuring real-time analytics capabilities.
Application Utilities
These tools offer a range of services that bolster the functioning and usability of an application, such as API management, data caching, and user authentication.
Assets and Media
This category includes tools and platforms designed for managing and distributing digital media content, such as videos, images, and audio files. These solutions offer features like secure storage, easy retrieval, and optimized delivery.
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