DSI RF Systems uses 14 technologies like Apache Kafka, AutoCAD, and Elasticsearch. View DSI RF Systems's complete Tech Stack.
DSI RF Systems Programming Languages And Frameworks Technology
Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Elasticsearch is a search server based on Lucene that provides a distributed, multitenant-capable full-text search engine.
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ELK stack provides centralized logging in order to identify problems with servers or applications and allows to search all the logs in a single place.
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
MATLAB is the easiest and most productive software environment for engineers and scientists.
MySQL is an open source database that supports scalable web-based and embedded database applications.
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.
DSI RF Systems Product And Design Technology
AutoCAD is computer-aided design (CAD) software that architects, engineers, and construction professionals rely on to create precise 2D and 3D drawings.
DSI RF Systems Computer Networks Technology
IONOS 1&1 DNS is a Domain Name System (DNS) solution by Ionos, that provides customers with cloud infrastructure and hosting services.
DSI RF Systems Devops And Development Technology
Jenkins is an open source automation server written in Java. Jenkins helps to automate the non-human part of the software development process, with continuous integration and facilitating technical aspects of continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat.
DSI RF Systems Business Intelligence And Analytics Technology
Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks.
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
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.
Tensorflow is an end-to-end open source machine learning platform. It allows developers to create large-scale neural networks with many layers.
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