The collaborative data science platform
JetBrains Datalore is a data science platform and offers intelligent tools for data analysis, visualization and the development of machine learning models in a collaborative environment.
Datalore is available in various subscriptions in the JetBrains Cloud and as an enterprise on-premises version. Datalore will soon also be available as a Good Application managed by twenty20 , naturally GDPR-compliant in the Open Telekom Cloud on servers in Germany.
Advantages of Datalore
Datalore offers an intuitive user interface that allows users to write and execute code and see the results in real time. This makes data exploration and analysis much easier. The platform includes built-in data visualization tools and libraries that allow users to effectively explore data and visually represent insights.
As you would expect from JetBrains products, Datalore provides intelligent code completion, error detection and other forms of code support to increase productivity when creating data analysis and machine learning code. Users can import data directly from various sources, including cloud storage solutions and databases, simplifying data access and import.
The heart of every data science project is a Jupyter notebook. Datalore offers intelligent tools for working with Jupyter notebooks. With the intelligent programming tools for Python, SQL, R, Scala and Kotlin, you can work faster and more efficiently and write better code. The Datalore editor gives you access to important tools such as attached data sources, automatic visualizations, dataset statistics, report generation, environment manager, versioning and more.
Image source: JetBrains
Image source: JetBrains
Datalore enables teams to work together on projects by supporting the simultaneous editing of notebooks and the exchange of results in real time. This promotes teamwork and facilitates the exchange of knowledge.
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