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PyPI · #626 most downloaded on PyPI
Pandas Data Types for SQL systems (BigQuery, Spanner)
Last release 3 days ago
01 Oct 2026
Release timing varies
gaps range from 2 weeks to 6 months
Nearly every release is documented
notes for 28 of 28 stable releases
Nothing withdrawn
no release was ever pulled
5 years old
30 releases · first in 2021
One column per quarter.
ci: fix docfx and db-dtypes pandas compat
bump pyarrow from 13.0.0 to 14.0.1 in /packages/db-dtypes
1.6.0 (2026-10-01) Features declare Python3.15 support
Allow Protobuf 7.x, require Python 3.9
1.5.0 (2026-10-01) Features declare Python3.15 support
Adds limits to numpy installs under 3.10 for dataproc
Updates deprecation warning to FutureWarning re: 3.7 and 3.8
Remove unbox json functionality from JSONArrowType
Re-add ModuleNotFoundError handler for pandas_backports
Add __hash__ property for JSONArrowType
Dbjson serialization with most compact JSON representation
Create db_dtypes JSONDtype and JSONArray
Out-of-bounds datetime.date raises OutOfBoundsDatetime
Support pandas 2.0 release candidate
remove upper bound on pyarrow version
Avoid out-of-range nanoseconds field in pandas 1.5.x
### Bug Fixes * deps: allow pyarrow < 10 (#130) (508564f) * require python 3.7+
fix changelog header to consistent size
### Bug Fixes * deps: allow pyarrow v8
label package as generally available
dbdate and dbtime dtypes return NaT instead of None for missing values
pandas.NaT for missing values in dbdate and dbtime dtypes (#67) (f903c2c)raise ValueError if date is out-of-bounds
support conversion from pyarrow RecordBatch to pandas DataFrame
rename dbtime and dbdate dtypes to avoid future conflicts with pandas
avoid rounding problems with microseconds
Nothing published for this version
Nothing published for this version
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