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Uber Submits Hudi, an Open Source Big Data Library, to The Apache Software Foundation

We submitted Hudi to the Apache Incubator to ensure the long-term growth and sustainability of the project under The Apache Software Foundation.
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Optimizing M3: How Uber Halved Our Metrics Ingestion Latency by (Briefly) Forking the Go...

Noticing increased latency in our metrics platform, Uber engineers track down a bug related to stack growth in a goroutine, resulting in a fix elevated to the Go open source GitHub repository.

Introducing Base Web, Uber’s New Design System for Building Websites in React

Base Web is a React component library which implements the Base design language to act as a device-agnostic foundation for easily creating web applications.

Uber Open Source: Catching Up with Celina Ward, M3 Observability Engineer

Celina Ward discusses her journey to engineering, what it was like to present at Kubecon 2018, and what’s next for M3, Uber's open source metrics platform.

Scaling Mobile Device Management for macOS with Chef at Uber

Uber's IT Engineering team scaled mobile device management on macOS by leveraging open source tools and custom API-driven Chef cookbooks.
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Build a ‘Hello World!’ Application in 5 Minutes with Fusion.js

In this short tutorial, we show you how to build a Hello World! application using Fusion.js, an open source universal web framework suitable for building interactive web applications.

Improving the User Experience with Uber’s Customer Obsession Ticket Routing Workflow and Orchestration Engine

Uber adopted workflow orchestration and Cadence, our open source orchestration engine, to better handle customer support ticket routing at scale.
Sunset over Temple St. Cyril and Methodius in Sofia. Bulgaria

Announcing the Uber Open Summit Sofia 2019

The next Uber Open Summit, where we present our latest and most impactful open source projects, will be in Sofia, Bulgaria on April 20, 2019.

Open Sourcing Peloton, Uber’s Unified Resource Scheduler

First introduced by Uber in November 2018, Peloton manages resources across large-scale, distinct workloads, combining separate compute clusters.

Introducing Kraken, an Open Source Peer-to-Peer Docker Registry

Developed by Uber, Kraken is an open source peer-to-peer Docker registry capable of distributing terabytes of data in seconds.

Creating Custom Plugins with Fusion.js, Uber’s Open Source Web Framework

In addition to providing official plugins, Fusion.js enables developers to build and integrate their own plugins by leveraging dependency injection.

Horovod Adds Support for PySpark and Apache MXNet and Additional Features for Faster Training

Horovod adds support for more frameworks in the latest release and introduces new features to improve versatility and productivity.

Pyro Accepted by the LF Deep Learning Foundation as a Hosted Project

Created by Uber in 2017, Pyro was voted in by the Linux Foundation Deep Learning Technical Board as the latest incubation project to join its foundation.

Uber Open Source: Catching Up with Fritz Obermeyer and Noah Goodman from the Pyro...

We spoke with Fritz Obermeyer and Noah Goodman, Pyro project co-leads, about the potential of open source AI software at Uber and beyond.
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Introducing AVS, an Open Standard for Autonomous Vehicle Visualization from Uber

Uber announces the release of the Autonomous Visualization System (AVS) as an open source project. AVS is a standard for creating a visual environment based on sensor data from autonomous vehicles, with playback available in multiple formats, including the web and video.

Modeling Censored Time-to-Event Data Using Pyro, an Open Source Probabilistic Programming Language

Censored time-to-event data is critical to the proper modeling and understanding of customer engagement on the Uber platform. In this article, we demonstrate an easier way to model this data using Pyro.

Introducing Ludwig, a Code-Free Deep Learning Toolbox

Uber AI developed Ludwig, a code-free deep learning toolbox, to make deep learning more accessible to non-experts and enable faster model iteration cycles.

Introducing AresDB: Uber’s GPU-Powered Open Source, Real-time Analytics Engine

AresDB, Uber's open source real-time analytics engine, leverages GPUs to enable real-time computation and data processing in parallel.

Year in Review: 2018 Highlights from Uber Open Source

Brian Hsieh, Uber's Open Source program lead, reflects on open source accomplishments, project launches, and collaborations in 2018.

Horovod Joins the LF Deep Learning Foundation as its Newest Project

Horovod, Uber's distributed training framework, joins the LF Deep Learning Foundation to help advance open source innovation in AI, ML, and deep learning.

Open Source at Uber: Meet Alex Sergeev, Horovod Project Lead

We sat down with Horovod project lead, Alex Sergeev, to discuss his path to open source and what most excites him about the future of Uber's distributed deep learning framework.

Introducing Makisu: Uber’s Fast, Reliable Docker Image Builder for Apache Mesos and Kubernetes

Uber built Makisu, our open source Docker image builder, to enable the quick, reliable generation of Dockerfiles in Mesos and Kubernetes ecosystems.

Uber Joins the Linux Foundation’s OpenChain Project as a Platinum Member

As part of the OpenChain Project’s governing board, Uber will help create best practices and define standards for open source software compliance.
Uber AI Chief Scientist Zoubin Ghahramani speaks at Uber Open Summit 2018

Collaboration at Scale: Highlights from Uber Open Summit 2018

Uber hosted its first Open Summit on November 15, inviting the open source community to learn about our open source projects from the engineers who use them every day. Check out highlights from the day, including keynotes from the Linux Foundation's Jim Zemlin and Uber AI's Zoubin Ghahramani.
Architecting Uber's New Driver App in RIBs feature image

Architecting Uber’s New Driver App in RIBs

In our continuing series about building our new driver app, Uber engineers discuss designing the architecture of the mobile app using RIBs, our open source mobile development framework.
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Preview 7 Open Source Projects from the Uber Open Summit

Uber open source projects leads give updates on seven of our projects, all of which will be showcased at the upcoming Uber Open Summit 2018.

Open Source at Uber: A Conversation with Yuri Shkuro, Jaeger Project Lead

Yuri Shkuro dicusses his journey to open source at Uber, his experience developing Jaeger, our open source distributed tracing system, and how to grow an open source community from scratch.

Announcing Uber Open Summit 2018: Collaboration at Scale

Keynote speakers include Jim Zemlin, executive director of the Linux Foundation, and Zoubin Ghahramani, chief scientist at Uber AI Labs.
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Introducing Petastorm: Uber ATG’s Data Access Library for Deep Learning

Uber's Advanced Technologies Group introduces Petastorm, an open source data access library enabling training and evaluation of deep learning models directly from multi-terabyte datasets in Apache Parquet format.
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Marmaray: An Open Source Generic Data Ingestion and Dispersal Framework and Library for Apache...

Today we introduce Marmaray, an open source framework allowing data ingestion and dispersal for Apache Hadoop, realizing our vision of any-sync-to-any-source functionality, including data format validation.

M3: Uber’s Open Source, Large-scale Metrics Platform for Prometheus

M3, Uber's open source metrics platform for Prometheus, facilitates scalable and configurable multi-tenant storage for large-scale metrics.

Introducing Fusion.js: A Plugin-based Universal Web Framework

Fusion.js, Uber's new open source web framework, supports modern features and integrations that make it easy to build lightweight, high-performing apps for the web.

JVM Profiler: An Open Source Tool for Tracing Distributed JVM Applications at Scale

Uber open sourced JVM Profiler, our distributed profiler, to enable others to seamlessly collect JVM performance and resource usage metrics.

H3: Uber’s Hexagonal Hierarchical Spatial Index

Uber developed H3, our open source grid system for optimizing ride pricing and dispatch, to make geospatial data visualization and exploration easier and more efficient.
Rakesh Michael, Samantha Hsu, and Matt Kuipers

What Every Engineer Should Know About Open Source Software Licenses and IP

Uber's attorneys explain the intricacies of different types of open source software licenses and intellectual property.

From Beautiful Maps to Actionable Insights: Introducing kepler.gl, Uber’s Open Source Geospatial Toolbox

Created by Uber's Visualization team, kepler.gl is an open source data agnostic, high-performance web-based application for large-scale geospatial visualizations.

Open Source at Uber: Meet Shan He, the Architect Behind kepler.gl

Shan He, the technical lead on Uber's kepler.gl framework, discusses her journey to data visualization and why she believes open source is such an important part of her team's work.

Growing the Data Visualization Community with deck.gl v5

deck.gl v5 incorporates simplified APIs, scripting support, and framework agnosticism, making the popular open source data visualization software more accessible than ever before.

Introducing Nanoscope: An Extremely Accurate Method Tracing Tool for Android

Uber's Mobile Engineering team open sources Nanoscope, a new method tracing tool for Android that enables developers to more accurately debug difficult performance issues.
Nicolas Garcia Belmonte

Open Source at Uber: A Conversation with Nicolas Garcia Belmonte, Head of Visualization

Nicolas Garcia Belmonte, head of visualization, talks about his experience getting started in open source and the role it plays in his work at Uber.

VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution

Uber AI Labs introduces Visual Inspector for Neuroevolution (VINE), an open source interactive data visualization tool to help neuroevolution researchers better understand this family of algorithms.

Queryparser, an Open Source Tool for Parsing and Analyzing SQL

Written in Haskell, Queryparser is Uber Engineering's open source tool for parsing and analyzing SQL queries that makes it easy to identify foreign-key relationships in large data warehouses.

NEAL, Uber’s Open Source Language-Agnostic Linting Platform

Not Exactly a Linter (NEAL) takes code reviews one step closer to full automation by allowing engineers to write custom syntax-based rules in any language.

SBNet: Leveraging Activation Block Sparsity for Speeding up Convolutional Neural Networks

Uber ATG Toronto developed Sparse Blocks Network (SBNet), an open source algorithm for TensorFlow, to speed up inference of our 3D vehicle detection systems while lowering computational costs.

Year in Review: 2017 Highlights from Uber Open Source

As we approach the New Year, Uber Open Source revisits some of Uber Engineering's most popular projects from 2017.

Denial By DNS: Uber’s Open Source Tool for Preventing Resource Exhaustion by DNS Outages

Uber Engineering built Denial by DNS, our open source solution for preventing DoS by DNS outages, to facilitate more reliable experiences on Uber's apps, no matter how users choose to access them.

Uber AI Labs Open Sources Pyro, a Deep Probabilistic Programming Language

Pyro is an open source probabilistic programming language that unites modern deep learning with Bayesian modeling for a tool-first approach to AI.

Meet Horovod: Uber’s Open Source Distributed Deep Learning Framework for TensorFlow

Uber Engineering introduces Horovod, an open source framework that makes it faster and easier to train deep learning models with TensorFlow.

Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform

Uber Engineering built AthenaX, our open source streaming analytics platform, to bring large-scale event stream processing to everyone.

Unpacking the Android Bundle with AutoValue Extensions at Uber Engineering

Uber Engineering's new open source tool, AutoValue: Bundle Extension, decreases the likelihood of encountering bugs by enabling Android engineers to quickly unbundle data into value classes.

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