OSS Tanbou

pandas — Python DataFrames for tabular and time-series data

OSS health 92
About these scores

Discovery score is an unbounded weighted, log-compressed index of stars, watchers, forks, and contributors. Growth momentum is its change over the observed period; OSS health is a 0–100 score from available repository recency, Community Health, and release data.

Stars
49,724
Primary language
Python
License
BSD-3-Clause
Repository last updated
Sep 13, 2026

Overview

pandas is a flexible and expressive Python data-analysis library for relational and labeled data. Centered on Series and DataFrame, it brings reshaping, joining, aggregation, missing values, time series, and data I/O into one interface.

Features and best fit

Based on official documentation; not hands-on tested · Content checked:

Handle label alignment, grouping, joins, pivots, and I/O

It provides automatic and explicit alignment, missing-data handling, mutable columns, groupby operations, label-based indexing, merge and join, reshaping and pivoting, and hierarchical indexes. I/O covers flat files such as CSV, Excel, databases, and HDF5, while time-series tools include ranges, frequency conversion, windows, shifting, and lagging.

Sources: [1]

For Python workflows exploring and preparing tabular data

It fits cleaning, aggregation, feature preparation, and reporting tasks that map naturally to rows and columns. Measure data volume, dtypes, missing-value representation, indexes, copies, and memory in the real pipeline, then define when work moves to a database or distributed system.

Sources: [1]

Check NumPy, optional I/O dependencies, and release differences

pandas requires NumPy and python-dateutil, plus tzdata in some environments, while file formats and database connections may need optional packages. Separate current PyPI or Conda releases from the main branch and review the chosen version's what's-new and installation pages for breaking changes and minimum dependencies. The license is BSD 3-Clause.

Sources: [1]

Official sources

  1. [1]pandas README(2026-09-13)
Supplemental curator note

Selected for turning a short common-word name into specific discovery through Python, DataFrame, and operation-focused documentation.

Growth

Growth trends · Last 30 days

49,724 Stars

Trend data is still being collected.

Development activity

Last 90 days · weekly

Commits (last 30 days)
331
Open PRs
233

Development activity is still being collected.

Built with

Categories and tags

GitHub data

GitHub dataView detailed GitHub data

GitHub Topics

  • data-analysis
  • pandas
  • flexible
  • alignment
  • python
  • data-science
Stars
49,724
Forks
20,376
Watchers
1,140
Open issues
2,503
Primary language
Python
Repository last updated
Sep 13, 2026
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