Mobility and energy systems generate a wealth of data. These rich datasets provide infinite opportunities to learn, leverage and build solutions. Enhancing mobility experiences or improving energy systems for society hinges on the ability to interact with this unique data. We at 99P Labs believe that a collaborative research community produces the best outcomes and that is why we have opened this data through our 99P Labs Developer Portal to address the problems of the changing mobility landscape.

“The Developer Portal unlocks innumerable data opportunities”

On the 99P Labs Developer Portal, we serve various types of mobility datasets such as data from Telematics or V2X enabled vehicles…

serjosoza from Unsplash

Check out this webinar on “The Future of Smart Mobility” by Prof. Atkinson at The Ohio State University. We at 99P Labs are excited about this topic and working closely with our partners such as OSU to deeply think and realize this future.

Homepage for 99P Labs Current Developer Portal

Our Challenge

At 99P Labs, we believe that innovation in the Mobility space requires collaborative execution, applying and learning. To enable this collaborative research community around the mobility data ecosystem, we launched our 99P Labs Developer Portal in September 2020. Our community has grown to about 100+ members from Universities and Public & Private entities in a short time surfacing very exciting problems and challenges. This community is very diverse not only in domain knowledge but also in data skills and experience and we’re very fortunate to be able to work closely on both domain and technical challenges. …

Written by Adam Huth, Isabel Zavian and Ebru Odok

It’s a beautiful Tuesday afternoon — the sky is blue, the birds are singing, and unfortunately for you, you’re running errands. It’s 3:17PM — a full grocery list sits on your lap, and you’re supposed to be picking up the kids at four before dropping them off at soccer practice. Oh great; the cleats still haven’t come in yet. It will have to wait — groceries first! You frantically run into the store, reminding yourself to not forget eggs this time.

4:12PM, and you’re pulling into the soccer field’s parking lot…

Written By: Ben Davis

Photo By Goran Ivos

Our plans started out as many others with wanting to put an API in front of our Data Lake. We ended up with a GraphQL API that returns rows of data in JSON format. This setup works well up to a point. Eventually, you run into practical limits on how much data can be sent back to a client as text. In our case, we have python notebook clients submitting requests and generating result sets that are in the million-row range and up. In ordinary times, connected to gigabit ethernet at the office, large result sets…

The Electrion Team

Accelerating the Adoption of Portable Clean Energy

When we look at the world around us, what do we see? The legacy of those that came before. Good or bad, every person leaves behind a legacy that impacts those who follow in their steps. If we are not leaving behind a better world for future generations, then what is our legacy? It is our belief that everything we do should be about sustainability. With unlimited access to knowledge, our generation and those to come not only have the opportunity, but the responsibility to drive positive behavior changes through innovation in sustainability. This is where Electrion finds its home.

Written By: Robert Sunderhaft

Apache Superset


One of the essential tasks of a data scientist is to obtain useful results from large data sets. Preferably, these findings are showcased through a simple and sleek visualization. With the right graph, layout, and information, data can transform from numbers into a form of art. To accomplish this though, a data scientist needs a platform to build upon.

There are many applications to start with, but my introduction to data science visualizations was through the up and coming Apache Superset. Since I am new to the field and haven’t used any other software, I can…

Written By: Tommy Tran

Using an API

I recently started learning about APIs and how to call them within my Python code. After spending time researching and learning, I realized the general concept is not challenging and with some guidance could’ve started much faster. Therefore my inspiration to write this blog for all beginners out there. I’d like to start by explaining what an API is first simply and link the resources that I found most useful. My hope is that you can efficiently learn how to call a GraphQL API in Python by the end of this blog. Let’s get started!


Photo by Dan Gold on Unsplash

(Blog written by project team students of Data-X Lab; Updated & Edited by 99P Labs)

Will people share rides again? An important question that rapidly surfaced at the onset of the pandemic itself. The fact is: traveling, deliveries, and pick-ups have always and will always be an integral part of our daily lives. No matter the purpose of each trip, the logistics of a travel plan is both essential and complicated. However, it is no surprise that COVID-19 surfaced the flaws of the mobility services industry very quickly. During the pandemic, close-proximity ride-sharing services like Uber and Lyft suffered drastic…

Photo By Chris Liverani on Unsplash

At 99P Labs, our mission is to enable sustainable mobility research & data-driven innovation and that is why we have opened our diverse mobility data sets through our 99P Labs Developer Portal to our research community. These data sets are by no means light weight. They are large and complex data sets that have engineering challenges under the hood that need to be solved.

The topic at hand is not exactly a debate of our technology choices but to share our journey, learnings and experience with everyone. Our journey started by building our data pipelines to feed Postgres. …

99P Labs

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