Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.
Package Information
No reported malware or high/critical advisories · Details
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Package Insights
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100More insights and metrics
Downloads by OS
Python Versions
Top Countries
Weekly Downloads
GitHub Stars *
Dependencies
42 optional dependencies
-
dask>=2024.4.0[all]extra == "all"
-
dask>=2024.4.0[dask]extra == "dask"
-
dask-sql[all]extra == "all"
-
duckdb>=0.5.0[ray]extra == "ray"
-
duckdb>=0.5.0[sql]extra == "sql"
-
duckdb>=0.5.0[duckdb]extra == "duckdb"
-
duckdb>=0.5.0[all]extra == "all"
-
fugue-sql-antlr>=0.2.4[duckdb]extra == "duckdb"
-
fugue-sql-antlr>=0.2.4[ibis]extra == "ibis"
-
fugue-sql-antlr>=0.2.4[sql]extra == "sql"
-
fugue-sql-antlr>=0.2.4[all]extra == "all"
-
fugue-sql-antlr>=0.2.4[cpp-sql-parser]extra == "cpp-sql-parser"
-
ibis-framework[ibis]extra == "ibis"
-
ibis-framework[all]extra == "all"
-
ipython>=7.10.0[all]extra == "all"
-
ipython>=7.10.0[notebook]extra == "notebook"
-
jinja2[ibis]extra == "ibis"
-
jinja2[sql]extra == "sql"
-
jinja2[duckdb]extra == "duckdb"
-
jinja2[all]extra == "all"
-
jupyterlab[notebook]extra == "notebook"
-
jupyterlab[all]extra == "all"
-
notebook[all]extra == "all"
-
notebook[notebook]extra == "notebook"
-
numpy[duckdb]extra == "duckdb"
-
pandas>=2.0.2[all]extra == "all"
-
pandas>=2.0.2[dask]extra == "dask"
-
pandas[ray]extra == "ray"
-
polars[polars]extra == "polars"
-
polars[all]extra == "all"
-
pyarrow>=6.0.1[all]extra == "all"
-
pyarrow>=7.0.0[dask]extra == "dask"
-
pyarrow>=7.0.0[ray]extra == "ray"
-
pyspark>=3.1.1[all]extra == "all"
-
pyspark>=3.1.1[spark]extra == "spark"
-
ray>=2.30.0[ray]python_version < "3.14" and extra == "ray"
-
ray>=2.30.0[all]python_version < "3.14" and extra == "all"
-
sqlglot<28[duckdb]extra == "duckdb"
-
sqlglot<28[sql]extra == "sql"
-
sqlglot<28[ibis]extra == "ibis"
-
sqlglot<28[all]extra == "all"
-
zstandard>=0.25.0[spark]extra == "spark"
Used By
- statsforecast 1.6M/mo
- autogluon-timeseries 156.4K/mo
- tune 8.7K/mo
- python-203-main 249/mo
- backtest-reg 238/mo
- mango-dashboard 190/mo
- gc-model-monitoring 170/mo
- oracle-ml-insights 109/mo
- prefect-fugue 75/mo
- gdp-time-series 44/mo