Pandas

pypiv3.0.2

Powerful data structures for data analysis, time series, and statistics

License BSD-3-Clausepermissive114 versions84 deps
60
/ 100
Health
safe to use

[email protected] is safe to use (health: 60/100)

Health breakdown0 – 100
20/25
maintenance
0/20
popularity
25/25
security
15/15
maturity
0/15
community
Vulnerabilities
0
none known
Quality signals
OSS Criticality
0.53high
Download trend
stable(+8.6%)
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Dependencies (84)
numpynumpypython-dateutiltzdata;tzdata;hypothesispytestpytest-xdistpyarrowbottlenecknumbanumexprscipyxarrayfsspecs3fsgcsfsodfpyopenpyxlpython-calaminepyxlsbxlrdxlsxwriterpyarrowpyarrowpyicebergtablespyreadstatSQLAlchemypsycopg2adbc-driver-postgresqlSQLAlchemypymysqlSQLAlchemyadbc-driver-postgresqladbc-driver-sqlitebeautifulsoup4html5liblxmllxmlmatplotlibjinja2tabulatePyQt5qtpyzstandardpytzadbc-driver-postgresqladbc-driver-sqlitebeautifulsoup4bottleneckfastparquetfsspecgcsfshtml5libhypothesisjinja2lxmlmatplotlibnumba
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Last updated · 2026-03-31T06:46:08.290259Z