Release notes for Analyst Studio
October 2, 2025
- Import Notebook files directly
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You can now instantly import an existing Notebook for analysis. The new Import Notebook option allows you to upload any
.ipynbfile to start working immediately. Learn more here.
September 19, 2025
- Instantly create reusable Datasets from your Reports
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You can now effortlessly create reusable Datasets directly from any successful SQL query within a Report. This feature captures a snapshot of your query, allowing you to instantly save and share the results as a new Dataset, eliminating the need to recreate queries from scratch. Learn more here.
July 28, 2025
- Python notebooks now support Snowpark and PySpark
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Both libraries unlock powerful data engineering and analytics workflows directly within your notebooks.
Snowpark empowers you to build scalable data pipelines and run advanced data transformations using Snowflake’s engine.
PySpark provides distributed data processing and machine learning capabilities via Apache Spark, enabling efficient analysis of large datasets.
Learn more about our full set of supported libraries here.
- Python CleanSlate
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The Python CleanSlate environment is a new execution option in Analyst Studio, available alongside Python 3 and Python Edge. It starts without any pre-installed third-party packages, giving you full control over your environment setup. This is ideal for analysts who want a minimal, dependency-free starting point for custom workflows. Learn more here.
- Customize Report and Dataset refresh with admin-managed schedules
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Admin-managed schedules allow organization administrators to set maximum schedule frequencies for Report and Dataset refreshes, ensuring that scheduling aligns with system performance, cost-efficiency, and data governance objectives. This feature gives administrators greater oversight and control over how often users can schedule updates. Learn more here.
July 11, 2025
- Export Notebook outputs to ThoughtSpot
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Now you can export Python output (Pandas DataFrames) from Notebooks to ThoughtSpot Data Workspace, making your insights reusable and shareable as live Datasets. Power Liveboards and SpotIQ with Python-generated data and collaborate seamlessly with non-coders. Learn more about Python Dataset here.
May 8, 2025
- Python upgrade
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We’re upgrading our Python environment from version 3.9 to 3.11. This update brings:
– Performance boost: Faster execution thanks to core optimizations. Better error messages: Clearer tracebacks to speed up debugging. New language features: Includes match statements (structural pattern matching), precise error locations, and improved typing. Deprecations: Some older libraries or syntax may no longer be supported—please review your code for compatibility.
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+ For most users, no changes are required. If you maintain custom Python code, we recommend testing it in the Python 3.11 environment (Python Edge). Learn more about supported library versions here.
February 14, 2025
- Python libraries
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We’re excited to announce updates to a range of out-of-the-box Python libraries. Learn more about supported library versions here.
