Connect Data Science Notebooks
Save Time on Data Preparation
Timbr connects seamlessly to Jupyter and Zeppelin notebooks to reduce time spent by data scientists in the menial tasks of organizing, collecting and mining the data.
Native Access
Timbr is natively accessible to Python’s JPype, JayDeBeAPI, and SQL-Alchemy libraries, in Apache Spark, SQL, R, Python, Scala and Java.
Use Your Favorite Data Science Tool
Accelerate Delivery of
Predictive Analytics
Data scientists use Timbr to integrate historical data with external data sources, creating a rich data set for them to build predictive models.
Timbr provides a standardized and consistent representation of data that saves valuable data-preparation time, so data scientists spend less time on data and more on science.
