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
- Yorko/mlcourse.ai
Open Machine Learning Course
10.7K stars
- modin-project/modin
Modin: Scale your Pandas workflows by changing a single line of code
10.4K stars
- NVIDIA/cudf
cuDF - GPU DataFrame Library
9.8K stars
- saulpw/visidata
A terminal spreadsheet multitool for discovering and arranging data
9.3K stars
- iamseancheney/python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
9K stars
- sngyai/Sequoia-X
A股自动选股系统 — 多种技术形态自动扫描，收盘后自动运行并推送飞书
7.7K stars
- ibis-project/ibis
the portable Python dataframe library
6.7K stars
- pixie-io/pixie
Instant Kubernetes-Native Application Observability
6.5K stars
- biolab/orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
5.7K stars
- lux-org/lux
Automatically visualize your pandas dataframe via a single print! 📊 💡
5.4K stars
- geopandas/geopandas
Python tools for geographic data
5.3K stars
- bukosabino/ta
Technical Analysis Library using Pandas and Numpy
5.2K 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
- dagster-pandera
Integration layer for dagster and pandera.
Not published by PyPI - dagster-snowflake-pandas
Package for integrating Snowflake and Pandas with Dagster.
Not published by PyPI - dalex
Responsible Machine Learning in Python
Not published by PyPI - darts
A python library for easy manipulation and forecasting of time series.
Not published by PyPI - dask-cuda
Utilities for Dask and CUDA interactions
Not published by PyPI - dask-cudf-cu12
Utilities for Dask and cuDF interactions
Not published by PyPI - dask-ml
A library for distributed and parallel machine learning
Not published by PyPI - data-designer
General framework for synthetic data generation
Not published by PyPI - data-designer-config
Configuration layer for DataDesigner synthetic data generation
Not published by PyPI - data-designer-engine
Generation engine for DataDesigner synthetic data generation
Not published by PyPI - data-formulator
Data Formulator is research protoype data visualization tool powered by AI.
Not published by PyPI - databento
Official Python client library for Databento
Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions pandas yet.