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

• tqdm/tqdm

  :zap: A Fast, Extensible Progress Bar for Python and CLI

  Tagged pandasPython

  31.4K stars

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Tagged pandasPython

  29.4K stars

• ranaroussi/yfinance

  Download market data from Yahoo! Finance's API

  Tagged pandasPython

  25.4K stars

• sinaptik-ai/pandas-ai

  Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

  Tagged pandasPython

  23.8K stars

• huggingface/datasets

  🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

  Tagged pandasPython

  22K stars

• bbfamily/abu

  阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

  Tagged pandasPython

  18.8K stars

• Kanaries/pygwalker

  PyGWalker: Turn your dataframe into an interactive UI for visual analysis

  Tagged pandasPython

  16K stars

• waditu/tushare

  TuShare is a utility for crawling historical data of China stocks

  Tagged pandasPython

  15.4K stars

• mwaskom/seaborn

  Statistical data visualization in Python

  Tagged pandasPython

  14.1K stars

• dask/dask

  Parallel computing with task scheduling

  Tagged pandasPython

  13.9K stars

• Data-Centric-AI-Community/fg-data-profiling

  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  Tagged pandasPython

  13.7K stars

• tangyudi/Ai-Learn

  人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

  Tagged pandas

  13.4K 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

• bizdays

  Functions to handle business days calculations

  Depends on pandasPyPI

  —Not published by PyPI
• boxmot

  BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

  Depends on pandasPyPI

  —Not published by PyPI
• bqplot

  Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.

  Depends on pandasPyPI

  —Not published by PyPI
• braindecode

  Deep learning software to decode EEG, ECG or MEG signals

  Depends on pandasPyPI

  —Not published by PyPI
• business-duration

  Calculates business duration in days, hours, minutes and seconds by excluding weekends, public holidays and non-business hours

  Depends on pandasPyPI

  —Not published by PyPI
• cai-framework

  Cybersecurity AI Framework

  Depends on pandasPyPI

  —Not published by PyPI
• camel-oasis

  Open Agents Social Interaction Simulations on a Large Scale

  Depends on pandasPyPI

  —Not published by PyPI
• camelot-py

  PDF Table Extraction for Humans.

  Depends on pandasPyPI

  —Not published by PyPI
• carelytics

  A Python library for Healthcare Data Analytics and Revenue Cycle Management.

  Depends on pandasPyPI

  —Not published by PyPI
• catboost

  CatBoost Python Package

  Depends on pandasPyPI

  —Not published by PyPI
• category-encoders

  A package for encoding categorical variables for machine learning

  Depends on pandasPyPI

  —Not published by PyPI
• causal-learn

  causal-learn Python Package

  Depends on pandasPyPI

  —Not published by PyPI

Latest news the 0 latest events that mention it

No published news event mentions pandas yet.