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

• man-group/dtale

  Visualizer for pandas data structures

  Tagged pandasTypeScript

  5.2K stars

• javascriptdata/danfojs

  Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.

  Tagged pandasTypeScript

  5.1K stars

• sktime/pytorch-forecasting

  Time series forecasting with PyTorch

  Tagged pandasPython

  5K stars

• RomelTorres/alpha_vantage

  A python wrapper for Alpha Vantage API for financial data.

  Tagged pandasPython

  4.9K stars

• dusty-nv/jetson-containers

  Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

  Tagged pandasJupyter Notebook

  4.9K stars

• lk-geimfari/mimesis

  Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.

  Tagged pandasPython

  4.8K stars

• unionai-oss/pandera

  A light-weight, flexible, and expressive statistical data testing library

  Tagged pandasPython

  4.5K stars

• quantopian/alphalens

  Performance analysis of predictive (alpha) stock factors

  Tagged pandasJupyter Notebook

  4.5K stars

• shashankvemuri/Finance

  Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.

  Tagged pandasPython

  4.3K stars

• ResidentMario/missingno

  Missing data visualization module for Python.

  Tagged pandasPython

  4.2K stars

• pydata/xarray

  N-D labeled arrays and datasets in Python

  Tagged pandasPython

  4.2K stars

• aws/aws-sdk-pandas

  pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

  Tagged pandasPython

  4.1K 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

• streamlit-aggrid

  Streamlit component implementation of ag-grid

  Depends on pandasPyPI

  —Not published by PyPI
• streamlit-data-editor-plus

  A faster way to build and share data apps

  Depends on pandasPyPI

  —Not published by PyPI
• streamlit-dialog

  A faster way to build and share data apps

  Depends on pandasPyPI

  —Not published by PyPI
• streamlit-nightly

  A faster way to build and share data apps

  Depends on pandasPyPI

  —Not published by PyPI
• streamlit-umami-patched

  A faster way to build and share data apps

  Depends on pandasPyPI

  —Not published by PyPI
• strictdoc

  StrictDoc is open-source software for technical documentation and requirements management.

  Depends on pandasPyPI

  —Not published by PyPI
• styleframe

  A library that wraps pandas and openpyxl and allows easy styling of dataframes in excel. Documentation can be found at http://styleframe.readthedocs.org

  Depends on pandasPyPI

  —Not published by PyPI
• sumo-rl

  RL environments and learning code for traffic signal control in SUMO.

  Depends on pandasPyPI

  —Not published by PyPI
• superduper-framework

  Build compositional and declarative AI applications and agents

  Depends on pandasPyPI

  —Not published by PyPI
• superduper-ibis

  Superduper ibis is a plugin for ibis-framework that allows you to use Superduper as a backend for your ibis queries.

  Depends on pandasPyPI

  —Not published by PyPI
• superduper-sql

  `superduper_sql` is a plugin for SQL databases that allows you to use these databases as databackends for Superduper.

  Depends on pandasPyPI

  —Not published by PyPI
• svql

  Query SystemVerilog modules with SQL.

  Depends on pandasPyPI

  —Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions pandas yet.