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Karosso Technology Stack

View Karosso's Technology Stack

Karosso uses 12 technologies like Chatra, Django, and HTML. View Karosso's complete Tech Stack.

Karosso Customer Management Technology

Chatra

Chatra is a SaaS company, live chat & messaging for startups and e-commerce

Karosso Programming Languages And Frameworks Technology

Django

Django is a Python web framework.

HTML

Hypertext Markup Language (HTML) is the standard markup language for documents designed to be displayed in a web browser. It can be assisted by technologies such as Cascading Style Sheets (CSS) and scripting languages such as JavaScript.

JavaScript

JavaScript is the programming language of HTML and the Web.

jQuery

jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML. It is free, open-source software using the permissive MIT License. Web analysis indicates that it is the most widely deployed JavaScript library by a large margin.

Moment.js

Moment.js is a free and open source JavaScript library. The library is a wrapper for the object making the object a whole lot easier to work with. the problem with JavaScripts object isnt the functionality it brings; its just extremely cumbersome to use as a developer.

Nginx

Nginx is a web server which can also be used as a reverse proxy, load balancer, mail proxy and HTTP cache.

Python

Python is an interpreted high-level programming language for general-purpose programming. Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library.

RabbitMQ

RabbitMQ is an open source message broker software.

Karosso Business Intelligence And Analytics Technology

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN.