pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more observed · 2026-10-11
Health v2 · maintenance only
94/100
- Activity 99
- Release rhythm 83
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 40.5
- age_days: 5902
- days_rel: 33
- days_push: 10
- n_releases_24m: 11
Adoption not part of the score
49994 stars · 20484 forks observed · 2026-10-11
What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.99
pandas is a Python library that provides fast, flexible, and expressive data structures for labeled data. It is widely used for data cleaning, transformation, analysis, and preparation in scientific and business workflows.
Use cases
- clean and transform CSV files for analysis
- perform time‑series calculations on financial data
- join and aggregate large relational datasets in memory
- reshape data for machine‑learning feature engineering
- pivot and summarize survey results for reporting
When to choose
- You need a mature, well‑documented library for tabular data manipulation in Python.
- Your workflow involves heavy use of DataFrames, group‑by operations, and time‑series handling.
- You require integration with the scientific Python stack (NumPy, SciPy, Matplotlib, scikit‑learn).
When to avoid
- You need out‑of‑core processing for datasets that exceed RAM.
- Your project requires a compiled language performance guarantee beyond what pandas offers.
- You are working in a non‑Python environment or need a pure JavaScript solution.
Facets
library · maturity active
data-science etl data-science python dataframe time-series statistical-analysis csv excel json high-performance data-engineering
1 source
- readme: https://github.com/pandas-dev/pandas · fetched 2026-10-11 · d1068938f507
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| pandas-dev/pandas | main | 94 |
| pandas-dev/pandas-stubs | sdk | 75 |
For agents
markdown · JSON · MCP: product_card(name="pandas-dev/pandas")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem