• Python 3 - Python is a programming language that lets you work more quickly and integrate your systems more effectively.
    • Black - Uncompromising Python code formatter.
    • Pylint - Code analysis for Python.
    • Pytest - Framework that makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries.
    • - Tool for measuring code coverage of Python programs.
    • Sphinx - Tool that makes it easy to create intelligent and beautiful documentation.
    • SQLAlchemy - Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
    • Jinja - Full featured template engine for Python.
    • Pipenv - Tool that aims to bring the best of all packaging worlds (bundler, composer, npm, cargo, yarn, etc.) to the Python world.
    • Celery - Asynchronous task queue/job queue based on distributed message passing.
  • Protocol Buffers - Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler.


  • PostgreSQL - The World's Most Advanced Open Source Relational Database.
  • Redis - Open-source in-memory data structure store, used as a database, cache and message broker.
  • SQLite - C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine.
  • ScyllaDB - The real-time big data database.
  • CockroachDB - Ultra-resilient SQL for global business.

Data Processing and Machine Learning

  • ELK Stack - Elasticsearch, Logstash, and Kibana.
    • Elasticsearch - Search and analytics engine.
    • Logstash - Server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch.
    • Kibana - Data visualization with charts and graphs in Elasticsearch.
  • NumPy - Fundamental package for scientific computing with Python.
  • Seaborn - Statistical data visualization.
  • Pandas - Python Data Analysis Library.
  • Scikit-learn - Machine learning in Python.
  • TensorFlow - End-to-end open source machine learning platform.
  • PyTorch - Open-source deep learning platform that provides a seamless path from research prototyping to production deployment.
  • Keras - The Python Deep Learning library.

Versioning and Continuous Integration

  • GitLab - The first single application for the entire DevOps lifecycle.

OPS Technologies

  • See OPS page.