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2023-12-26

Overview of Uber Engineering’s GitHub Page

Overview of Uber Engineering's GitHub Page

Uber’s GitHub page showcases its commitment to fostering collaboration and innovation through open-source projects. The page features various projects Uber developed, highlighting the company’s engagement in the open-source community and its contributions to various technological fields.

Key Projects on Uber’s GitHub

  1. AresDB: A GPU-powered real-time analytics storage and query engine demonstrating Uber’s focus on high-performance data processing.
  2. Jaeger Tracing: Inspired by Dapper and OpenZipkin, Jaeger is a distributed tracing system that reflects Uber’s efforts in system monitoring and performance optimization.
  3. Pyro: A tool for deep universal probabilistic programming, indicating Uber’s interest in advanced machine learning and probabilistic models.
  4. Ludwig: A toolbox allowing users to train and test deep learning models without writing code, showcasing Uber’s commitment to making AI more accessible.
  5. M3: An open-source metrics platform built on M3DB, a distributed time-series database, highlighting Uber’s solutions for large-scale data management.
  6. Horovod: A distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet, illustrating Uber’s involvement in scalable machine learning.
  7. H3: A hexagonal hierarchical geospatial indexing system reflecting Uber’s innovation in location data handling and geospatial analysis.
  8. Vis.gl: A suite of open-source visualization frameworks combining cutting-edge technology with beautiful data visualization.
  9. Kraken: A P2P Docker registry capable of distributing terabytes of data in seconds, showing Uber’s capabilities in efficient data distribution.
  10. Petastorm: A library enabling single-machine or distributed training and evaluation of deep learning models, further emphasizing Uber’s focus on AI and machine learning.

Uber’s GitHub page is a testament to its dedication to open-source development and its role in advancing various technological domains. From data analytics and distributed systems to AI and machine learning, Uber’s open-source projects offer valuable resources to the tech community.

To explore these projects and learn more about Uber’s contributions to open-source software, visit their GitHub page: Uber Engineering GitHub.