Releasesby IbisPython buildpacks updated to Pipenv 2026.9.1 and uv 0.13.1
Update10 days agoUnverifiedAdded Oct 20, 2026
We have updated the package managers used during the build of Python apps as follows: uv updated from 0.12.21 to 0.13.1 ( changelog ) And for Cedar-generation Python apps only: Pipenv updated from 2026.8.0 to 2026.9.1 ( changelog )
Topics: Observability
More Heroku releases
Every Heroku releaseHeroku Connect now supports Salesforce API v68.0
Heroku Connect now defaults to version 68.0 of the Salesforce API, the latest version available in the Winter ‘27 release. Learn how to specify the API version at connection creation on the Heroku Dev Center .
Heroku AI now supports Claude Haiku 5.5, Claude Opus 5.5, Claude Sonner 5.5, and Claude Fable 5.1 models
Heroku’s Managed Inference and Agents add-on now supports these AI models: Claude Haiku 5.5 : A fast and cost-effective LLM designed for high-volume, latency-sensitive tasks like classification, extraction, and routing.
Node.js 26.12.0 and 24.22.0 now available
Node.js versions 26.12.0 and 24.22.0 have been made available for builds on Heroku. For additional information, please see our article on Node.js Support .
Ruby version 4.1.0-preview1 is now available
Ruby v4.1.0-preview1 is now available on Heroku. To run your app using this version of Ruby, add the following ruby directive to your Gemfile: ruby "4.1.0.preview1" For more information on Ruby 4.1.0-preview1, you can view the release announcement . This version of Ruby is not suitable for production applications.
.NET 8.0.132, 8.0.426, 9.0.122, 9.0.319, 10.0.113 and 10.0.402 SDKs are now available
.NET 8.0.132 , 8.0.426 , 9.0.122 , 9.0.319 , 10.0.113 and 10.0.402 SDKs have been made available for builds on Heroku. The .NET 8.0 SDKs include .NET Runtime 8.0.32 and ASP.NET Core Runtime 8.0.32 . The .NET 9.0 SDKs include .NET Runtime 9.0.21 and ASP.NET Core Runtime 9.0.21 .
Upcoming migration from ZooKeeper to KRaft for Apache Kafka on Heroku
On October 19, 2026, we’ll begin migrating Apache Kafka on Heroku cluster infrastructure from ZooKeeper to KRaft. This change modernizes how clusters manage their internal metadata. Heroku will notify you via email when maintenance is scheduled to perform this migration on your Kafka cluster. No action is required from you.
Python 3.15 is now available
Python 3.15.0 is now available for use by Python apps on Heroku. See the Python 3.15.0 release announcement and What’s New In Python 3.15 to learn more about the new major version. See Specifying a Python Version for details on how to configure the Python version for your app.
Go 1.27.2 and 1.26.9 are now available
Go 1.27.2 and 1.26.9 are now available for use by Go apps on Heroku. In addition, we have updated the Go 1.27 and 1.26 version aliases to resolve to these new Go patch versions. See Go Versions for details on how to configure the Go version for your app.
Also shipped on Oct 14, 2026
Heroku in October 2026Workspace-level package repositories for Databricks Apps are generally available
Workspace admins can now configure default Python and npm package repositories for Databricks Apps. Apps inherit the workspace configuration while still allowing app-level overrides. See Configure default package repositories .
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA)
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA). This integration lets you use the metastore as a serverless, central metadata layer, enabling seamless data sharing and unified querying across Apache Spark, Apache Hive, and BigQuery.
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA)
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA). You can perform a one-time backfill migration or dry run to migrate metadata from a Dataproc Metastore service to an Apache Iceberg REST catalog endpoint or a Hive catalog endpoint using the Google Cloud console, the gcloud CLI, or the REST API.
Conversational analytics now lets you create a conversation with all of the data sources in multiple...
Conversational analytics now lets you create a conversation with all of the data sources in multiple projects, or create a conversation with a dataset . These features are generally available (GA).
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise . This feature is now generally available (GA).
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the...
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the function output as a comma-separated list of fields. This feature is generally available (GA).