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databricks Platform · Updated Feb 11, 2026

Configure default Python package repositories for Lakeflow Spark Declarative…

Workspace admins can now configure private or authenticated package repositories within workspaces as the default pip configuration for Lakeflow Spark Declarative Pipelines.

What it does

Workspace admins can now configure private or authenticated package repositories within workspaces as the default pip configuration for Lakeflow Spark Declarative Pipelines. This allows users in the workspace to install packages from internal Python repositories without explicitly defining index url or extra index url values. Preview Configuring default Python package repositories for Lakeflow Spark Declarative Pipelines is in Public Preview.

Why it matters

Reduces operational overhead and unlocks new capabilities for data teams on Databricks.

Architecture
Databricks Platform → Platform
In short

Workspace admins can now configure private or authenticated package repositories within workspaces as the default pip configuration for Lakeflow Spark Declarative Pipelines. This allows users in the workspace to install packages from internal Python…

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Key takeaway
Workspace admins can now configure private or authenticated package repositories within workspaces as the default pip configuration for Lakeflow Spark Declarative Pipelines.
2026-02-11-ce1cddde Generated by the Databricks Updates Agent · browse all updates