Technology · Library
pandas
Library · Catalog tech@1
Data analysis library for Python.
- Categories
- 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 signalsNo 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
49.9K stars
Members 74repositories tagged with one of its aliases, most-starred first
- mars-project/mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
2.7K stars
- jmcarpenter2/swifter
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
2.6K stars
- graphistry/pygraphistry
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
2.6K stars
- man-group/ArcticDB
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
2.5K stars
- chezou/tabula-py
Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame
2.3K stars
- approximatelabs/sketch
AI code-writing assistant that understands data content
2.3K stars
- fugue-project/fugue
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
2.2K stars
- raphaelvallat/pingouin
Statistical package in Python based on Pandas
1.9K stars
- ScottfreeLLC/AlphaPy
Python AutoML for Trading Systems and Sports Betting
1.8K stars
- narwhals-dev/narwhals
Lightweight and extensible compatibility layer between dataframe libraries!
1.7K stars
- lit26/finvizfinance
Finviz analysis python library.
1.7K stars
- lotus-data/lotus
Optimized Agentic and LLM Bulk Processing Over Your Data
1.7K 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
Not published by PyPI
Ecosystem 953packages that depend on it, most-adopted first
- asreview
ASReview LAB - A tool for AI-assisted systematic reviews
Not published by PyPI - astartes
Train:Test Algorithmic Sampling for Molecules and Arbitrary Arrays
Not published by PyPI - asteroid
PyTorch-based audio source separation toolkit
Not published by PyPI - astrbot
Easy-to-use multi-platform LLM chatbot and development framework
Not published by PyPI - atcf-data-parser
Parse a-deck data posted online by the Automated Tropical Cyclone Forecasting System
Not published by PyPI - atorch
A pytorch extension for efficient deep learning.
Not published by PyPI - attoworld
Tools from the Attosecond science group at the Max Planck Institute of Quantum Optics
Not published by PyPI - autoeq-py313
Automatic headphone equalizer config generator - Python 3.13/3.14 optimized with free-threaded support
Not published by PyPI - autogluon-common
Fast and Accurate ML in 3 Lines of Code
Not published by PyPI - autogluon-core
Fast and Accurate ML in 3 Lines of Code
Not published by PyPI - autogluon-features
Fast and Accurate ML in 3 Lines of Code
Not published by PyPI - autogluon-multimodal
Fast and Accurate ML in 3 Lines of Code
Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions pandas yet.