Release notes for Deephaven Core version 0.37November 27, 2024 · 13 min readPython linting, an improved Iceberg integration, and new features
Release notes for Deephaven Core version 0.36August 20, 2024 · 6 min readMulti-table listeners, native table iteration in Python, and more
Get started with our Crash CourseAugust 15, 2024 · 2 min readLearn Deephaven faster than ever with our new Crash Course and demo notebooks
In response to Rockset-OpenAI: a brief real-time analytics manifestoJuly 15, 2024 · 8 min readWhy Deephaven is the best for real-time analytics
Release notes for Deephaven version 0.35June 28, 2024 · 9 min readA much-anticipated release with big features
Beautiful dashboards in Python with first-class real-time integrationMay 6, 2024 · 8 min readA Preview of deephaven.ui
Introducing Deephaven's new calendar APIApril 5, 2024 · 3 min readEnhanced calendar functions boost performance
Documentation enhancements for Deephaven CommunityMarch 21, 2024 · 2 min readBetter navigation and a simpler Quickstart guide make it easier to get started with Deephaven
Release notes for Deephaven version 0.33.0February 23, 2024 · 4 min readVisualize partitioned tables, read Parquet from AWS S3, and more
Release notes for Deephaven version 0.32.0January 22, 2024 · 3 min readNew calendar API, Python improvements, bug fixes, and more
Release notes for Deephaven version 0.31.0December 19, 2023 · 3 min readImproved Python type hints and query strings, blink input tables, and more
Release notes for Deephaven version 0.30.0November 13, 2023 · 2 min readMore Parquet, improved Java client, and column statistics
Release notes for Deephaven version 0.29October 31, 2023 · 4 min readNew features, R documentation, and quality-of-life improvements
Real-time Data in ROctober 4, 2023 · 15 min readRunning complex queries on ticking tables from RStudio
Take advantange of Pandas 2.0 supportSeptember 27, 2023 · 2 min readBuilt-in, highly efficient PyArrow
Release Notes for Deephaven version 0.28September 19, 2023 · 4 min readFurther improvements to real-time data ingestion and our time library