OmniSci 4.8 integrates deeply with the PyData stack and enables easy switching from visual data exploration to data science workflows.
Getting started with OmniSci’s Charting Libraries has never been simpler. Read this blog post to learn how to create an interactive visualization from our provided example project on GitHub.
Connect with OmniSci at an upcoming event. Use this at-a-glance guide to see where we will be over the next few months.
OmniSci.jl is the newest database client for OmniSci, allowing for GPU-accelerated data analysis using Julia. See the product announcement for more details about how to get started!
As Chicago becomes increasingly congested, new means of transportation are becoming the norm, including Divvy Bikes. Investigate the bikes’ intriguing traffic patterns and usage statistics using OmniSci Immerse.
See how OmniSci Director of Technical Communications Dennis Dawson uses a small dataset to visualize major changes in his life.
Learn more about OmniSci 4.7, our latest release delivering exciting new features for spatial temporal analysis workflows.
A call is made to NYC’s 311 Service line every 14 seconds. Explore what’s prompting the calls, uncover patterns, and more using OmniSci Immerse.
OmniSci can be used to navigate and analyze years of fine grain traffic data. This post analyzes San Francisco traffic from 2015-2019, showing an increase in congestion in key commuting routes.
The rapid acceleration in data gathering is generating major changes in GEOINT and with GPU-accelerated tools, you can now tap into this data for fast geospatial analytics.