Technology · Library

pandas

Library · Catalog tech@1

Data analysis library for Python.

Matched as
  • 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

Momentum

Collecting0 of 5 signals

No score yet. Momentum is published only when at least 2 of the 5 signals have history. pandas has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.

Snapshot OCT 24, 2026 · Scoring tech@1

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

  • deepchecks/deepchecks

    Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

    Tagged pandas-dataframePython

    4.1K stars

  • jmcnamara/XlsxWriter

    A Python module for creating Excel XLSX files.

    Tagged pandasPython

    4K stars

  • nalepae/pandarallel

    A simple and efficient tool to parallelize Pandas operations on all available CPUs

    Tagged pandasPython

    3.8K stars

  • databricks/koalas

    Koalas: pandas API on Apache Spark

    Tagged pandasPython

    3.4K stars

  • delta-io/delta-rs

    A native Rust library for Delta Lake, with bindings into Python

    Tagged pandasRust

    3.3K stars

  • pydata/pandas-datareader

    Extract data from a wide range of Internet sources into a pandas DataFrame.

    Tagged pandasPython

    3.3K stars

  • adamerose/PandasGUI

    A GUI for Pandas DataFrames

    Tagged pandasPython

    3.3K stars

  • fbdesignpro/sweetviz

    Visualize and compare datasets, target values and associations, with one line of code.

    Tagged pandasPython

    3.1K stars

  • man-group/arctic

    High performance datastore for time series and tick data

    Tagged pandasPython

    3.1K stars

  • weld-project/weld

    High-performance runtime for data analytics applications

    Tagged pandasRust

    3K stars

  • reloadware/reloadium

    Hot Reloading and Profiling for Python

    Tagged pandasPython

    3K stars

  • posit-dev/great-tables

    Make awesome display tables using Python

    Tagged pandas-dataframePython

    2.9K 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

  • sweetviz

    A pandas-based library to visualize and compare datasets.

    Depends on pandasPyPI

    Not published by PyPI
  • systemds

    Apache SystemDS - An open source ML system for the end-to-end data science lifecycle

    Depends on pandasPyPI

    Not published by PyPI
  • tableau-api-lib

    This library enables developers to call any method seen in Tableau Server's REST API documentation.

    Depends on pandasPyPI

    Not published by PyPI
  • tabpfn

    TabPFN: Foundation model for tabular data

    Depends on pandasPyPI

    Not published by PyPI
  • tabpfn-common-utils

    Utilities shared between TabPFN codebases

    Depends on pandasPyPI

    Not published by PyPI
  • tabpfn-fork

    TabPFN: Foundation model for tabular data

    Depends on pandasPyPI

    Not published by PyPI
  • tabpy

    Web server Tableau uses to run Python scripts.

    Depends on pandasPyPI

    Not published by PyPI
  • tabula-py

    Simple wrapper for tabula-java, read tables from PDF into DataFrame

    Depends on pandasPyPI

    Not published by PyPI
  • taipy-core

    A Python library to build powerful and customized data-driven back-end applications.

    Depends on pandasPyPI

    Not published by PyPI
  • taipy-gui

    Low-code library to create graphical user interfaces on the Web for your Python applications.

    Depends on pandasPyPI

    Not published by PyPI
  • talos

    Reproducible parameter sweeps for Keras, TensorFlow and PyTorch

    Depends on pandasPyPI

    Not published by PyPI
  • target-hotglue

    `target-hotglue` is an SDK for building Singer Targets for hotglue.

    Depends on pandasPyPI

    Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions pandas yet.