Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: dataframes

Englisches Verzeichnis

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

14K
Stars
86/100
Trust
Kategorie: data-analysisAudit

Fastest library to load data from DB to DataFrames in Rust and Python

2.6K
Stars
76/100
Trust
Kategorie: data-analysisAudit

Machine learning with dataframes

1.6K
Stars
80/100
Trust
Kategorie: data-analysisAudit

Cloud-native genomic dataframes and batch computing

1.1K
Stars
80/100
Trust
Kategorie: geo-scienceAudit

📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)

1.3K
Stars
74/100
Trust
Kategorie: data-analysisAudit

Working with molecular structures in pandas DataFrames

752
Stars
69/100
Trust
Kategorie: geo-scienceAudit

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

694
Stars
73/100
Trust
Kategorie: data-analysisAudit

Semantic DataFrames for humans and agents

461
Stars
68/100
Trust
Kategorie: agent-frameworksAudit

Flowfile is a visual ETL tool and Python library combining drag-and-drop workflows with Polars dataframes. Build data pipelines visually, define flows programmatically with a Polars-like API, and export to standalone Python code. Perfect for fast, intuitive data processing from development to production.

315
Stars
69/100
Trust
Kategorie: data-analysisAudit

Table analysis in Tkinter using pandas DataFrames.

661
Stars
62/100
Trust
Kategorie: data-analysisAudit

A vectorized implementation of py_vollib, that supports numpy arrays and pandas Series and DataFrames.

155
Stars
64/100
Trust
Kategorie: financeAudit