Releasesby GlyphRay-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.
Also shipped Mar 25, 2026Anyscale in March 2026 →
Modal 1.4.0
We've made significant CLI enhancements so that Modal logs can be more accessible to coding agents: The modal app logs and modal container logs commands now have the ability to fetch historical logs using counting (e.g. --tail 1000) or time-based (e.g., --since 4h, --until 2026-03-15, etc.) configuration.
Attribution Alerts
Set alerts scoped to specific teams, services, environments, and more using cost attribution labels We’re excited to announce the general availability of Attribution Alerts in the Cost Management and Billing app!
The Shopify CLI app release `--force` flag is deprecated and will be removed
We are deprecating the --force flag on the shopify app deploy and shopify app release commands. The flag will be removed in a Shopify CLI release in May 2026. Why we're making this change The --force flag skips all confirmation prompts, including for extension deletions that can permanently remove data on installed shops.
New Filters for List Session Replays
What it is: Two new filters are now available on the List Session Replays API endpoint. 'amplitude_id' (integer) returns replays tied to a specific Amplitude user ID. 'replay_id' accepts up to 100 IDs in 'device_id/session_id' format and fetches those sessions directly, bypassing pagination.
Improvements to Distributions
What it is: Frequency charts, histogram charts, session length, and time-to-convert now support normalization, PDF, and CDF views. Normalization scales each series so its bars sum to 1, making groups with different sample sizes directly comparable , for example, U.S.
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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-2.54.0
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-2.53.0
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-2.56.0
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-2.51.2
- Fix for CVE-2025-62593 : reject Sec-Fetch-* other browser-specific headers in dashboard browser rejection logic
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 ).