pandas

Momentum

Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works

Official repository stars

Collecting

Star growth needs repository snapshots 30 days apart.49,896 stars now

Member repository stars

Collecting

Star growth needs repository snapshots 30 days apart.0 new members in 30 days

Package adoption

—Not published by its registries

Its packages’ registries publish no adoption figure, so there is nothing to grow.

Open models

—No official models

No official model on Hugging Face, so this signal does not apply.

News

Collecting

News counts once there are 3 events across the last 60 days; it has 0.0 in the last 30 days · 0 in the 30 before

Adoption by registry

The growth of pandas’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.

No registry has two observations of pandas’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.

News activity

Events · 7 days

0published events that mention it

Events · 30 days

0published events that mention it

Previous 30 days

0events in the 30 days before

Momentum history

Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.

Repositories

Official 1

• pandas-dev/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

  Official repositoryPython

  49.9K stars

Members 74repositories tagged with one of its aliases, most-starred first

• ryfeus/lambda-packs

  Precompiled packages for AWS Lambda

  Tagged pandasPython

  1.1K stars

• rsheftel/pandas_market_calendars

  Exchange calendars to use with pandas for trading applications

  Tagged pandasPython

  1K stars

Packages

“Is” packages are pandas itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.

Is 1the technology itself, most-adopted first

• pandas

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

  Listed in the catalogPyPI

  —Not published by PyPI

Ecosystem 953packages that depend on it, most-adopted first

• autogluon-tabular

  Fast and Accurate ML in 3 Lines of Code

  Depends on pandasPyPI

  —Not published by PyPI
• autogluon-timeseries

  Fast and Accurate ML in 3 Lines of Code

  Depends on pandasPyPI

  —Not published by PyPI
• autorag

  Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product.

  Depends on pandasPyPI

  —Not published by PyPI
• autotrain-advanced

  Depends on pandasPyPI

  —Not published by PyPI
• autots

  Automated Time Series Forecasting

  Depends on pandasPyPI

  —Not published by PyPI
• autoviz

  Automatically Visualize any dataset, any size with a single line of code

  Depends on pandasPyPI

  —Not published by PyPI
• autovizwidget

  AutoVizWidget: An Auto-Visualization library for pandas dataframes

  Depends on pandasPyPI

  —Not published by PyPI
• awkward-pandas

  Awkward Array Pandas Extension

  Depends on pandasPyPI

  —Not published by PyPI
• awslabs-cloudwatch-mcp-server

  An AWS Labs Model Context Protocol (MCP) server for cloudwatch

  Depends on pandasPyPI

  —Not published by PyPI
• awswrangler

  Pandas on AWS.

  Depends on pandasPyPI

  —Not published by PyPI
• ax-platform

  Adaptive Experimentation

  Depends on pandasPyPI

  —Not published by PyPI
• azure-ai-evaluation

  Microsoft Azure Evaluation Library for Python

  Depends on pandasPyPI

  —Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions pandas yet.