Releasesby GlyphRay-2.51.2
- Fix for CVE-2025-62593 : reject Sec-Fetch-* other browser-specific headers in dashboard browser rejection logic
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Ray-2.53.0
Highlights Ray plans to drop support for Pydantic V1 starting version 2.56.0. Please see this RFC for details. Ray Data now has support for bounded reading from Kafka and improved Iceberg support. Ray Data 🎉 New Features Autoscaling : New utilization-based cluster autoscaler for Ray Data workloads ( #59353 , #59362 , #59366 ).
Ray-2.54.0
Ray Data 🎉 New Features Add checkpointing support to Ray Data ( #59409 ) Compute Expressions: list operations ( #59346 ), fixed-size arrays ( #58741 ), string padding ( #59552 ), logarithmic ( #59549 ), trigonometric ( #59712 ), arithmetic ( #59678 ), and rounding ( #59295 ) Add sql_params support to read_sql ( #60030 ) Add AsList aggregation ( #59920 )...
Ray-2.54.1
Ray Data 🔨 Fixes Disable hanging issue detection ( #61895 ) , The hanging issue detector was making blocking calls to the Ray State API, which could cause the scheduling loop to block and severely degrade pipeline performance. The detector is disabled in this patch release until the blocking calls are fixed.
Ray-2.55.0
Ray Data 🎉 New Features Add DataSourceV2 API with scanner/reader framework, file listing, and file partitioning ( #61220 , #61615 , #61997 ) Support GPU shuffle with rapidsmpf 26.2 ( #61371 , #62062 ) Add Kafka datasink, migrate to confluent-kafka , support datetime offsets ( #60307 , #61284 , #60909 ) Add Turbopuffer datasink ( #58910 ) Add 2-phase commit...
Ray-2.55.1
- Fixes SSH connectivity issue in the ray-llm image ( #62625 / #62718 ). Upgrade apt packages in slim base ( #62666 / #62717 ).
Ray-2.56.0
Highlights Ray Data Stability: In this Ray release, we've added a variety of stability improvements, including running multiple datasets in a cluster, adding automatic batch size selection to CPU-based map-batches, and default logical memory configuration to prevent OOMs.
Ray-2.57.0
Highlights Ray Data: In this Ray release, we've enabled DataSourceV2 by default ( #64821 ), so read_parquet and friends use the new scan/listing infrastructure with row-group-aware chunking and predicate splitting. Hash Shuffle V2 eliminates the aggregator actor pool.
Ray-2.56.1
Highlights Ray Data : We added fixes for several to_pandas regressions introduced in 2.56: an opt-out flag ( RAY_DATA_ENABLE_ARROW_BACKED_PANDAS_CONVERSION ) for Arrow-backed conversion, an int64/ double[pyarrow] overflow crash on concatenation, and a TensorDtype.__from_arrow__ crash on empty tensor columns ( #64793 , #64794 ).