pandas-dev/pandas

★50,577PythonBSD-3-Clause⑂ 20,745Issue 1,642Updated Nov 11, 2026

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas: the Python data toolkit behind countless analyses — pandas is the long-running Python library for labeled, tabular data, offering DataFrame structures, alignment, and statistical tools modeled after R's data.frame. With active CI, NumFOCUS backing, and steady releases on PyPI/conda, it remains a foundational choice for data scientists and analysts working in Python.

Data & databasesalignmentdata-analysisdata-scienceflexiblepandaspython

Metrics

Relative growth (7d)+1%Growth over the last 7 days relative to size
Acceleration+158%Change in growth pace from the week before
Attention48The three metrics scaled to 0–100 and combined

Retention can be computed 30 days after a repository first trends (it isn't shown until then). See About for how each metric is defined.

Star growth and Trending appearances (last 30 days)

First listed+134★/dayDailyWeeklyMonthly
Oct 13, 2026Nov 11, 2026

Bands mark days on the trending list (darker = higher rank)

Daily trending ranks as a table (5 days)
DateDailyWeeklyMonthly
Nov 11, 2026——
python #18 +1,082
Nov 10, 2026——
python #17 +1,107
Nov 9, 2026——
python #15 +1,107
Nov 8, 2026—
python #17 +417
python #16 +1,099
Nov 7, 2026
python #9 +194
—
python #16 +1,016

Created Aug 24, 2010 · First on trending Nov 7, 2026

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