| Name | Version | Summary | date |
| funputer |
1.4.0 |
Intelligent imputation analysis with automatic data validation and metadata inference |
2025-08-09 10:20:27 |
| atptools |
0.1.31 |
Dataset manipulation tool. |
2025-08-08 12:49:59 |
| deltalake |
1.1.4 |
Native Delta Lake Python binding based on delta-rs with Pandas integration |
2025-08-08 10:13:35 |
| solvency2-data |
0.3.0 |
Package for reading the Solvency 2 Risk-Free Interest Rate Term Structures from the zip-files on the EIOPA website and deriving the term structures for alternative extrapolations |
2025-08-08 09:35:20 |
| coola |
0.9.0 |
Library to check equality between two complex/nested objects |
2025-08-08 06:52:08 |
| gooddata-pandas |
1.48.0 |
GoodData Cloud to pandas |
2025-08-07 14:51:09 |
| google-ads-reports |
1.2.2 |
ETL module for Google Ads API v20 with database-optimized DataFrame processing |
2025-08-07 13:52:13 |
| google-sheets-helper |
1.1.1 |
Helper module to parse data from GSheets into database-optimized DataFrames |
2025-08-07 13:01:59 |
| openaivec |
0.12.6 |
Generative mutation for tabular calculation |
2025-08-06 22:47:27 |
| safemath |
1.0.0 |
Bulletproof mathematical operations for Python with intelligent fallback handling |
2025-08-06 20:17:14 |
| sanitipy |
1.0.1 |
Sanitipy is a user-friendly Python library designed for data cleaning and preprocessing. It provides essential utilities to streamline the process of preparing datasets for analysis or modeling. With features such as duplicate removal, handling missing values, and automatic data type inference, sanitipy simplifies the data cleaning workflow, making it a useful tool for data scientists and analysts. |
2025-08-06 01:33:09 |
| pymongoarrow |
1.10.0 |
Tools for using NumPy, Pandas, Polars, and PyArrow with MongoDB |
2025-08-05 15:31:14 |
| dynamicio |
7.3.1 |
Panda's wrapper for IO operations |
2025-08-05 09:20:22 |
| insightfulpy |
0.1.8 |
A comprehensive toolkit for exploratory data analysis with advanced visualization and statistical analysis |
2025-08-04 19:39:59 |
| tidyxl |
0.1.8 |
Import Excel files into tidy format with cell-level data extraction |
2025-08-04 14:32:51 |
| datatidy |
0.1.1 |
A powerful, configuration-driven data processing and cleaning package |
2025-08-04 13:38:16 |
| pandas-ta-classic |
0.3.14b2 |
An easy to use Python 3 Pandas Extension with 130+ Technical Analysis Indicators. Can be called from a Pandas DataFrame or standalone like TA-Lib. Correlation tested with TA-Lib. This is the classic/community maintained version. |
2025-08-03 10:49:44 |
| shaheenviz |
0.1.3 |
Shaheenviz combines the analytical power of YData Profiling with the stunning visuals of Sweetviz to deliver a unified, automatic EDA solution. |
2025-08-02 09:42:18 |
| atio |
1.0.0 |
Safe atomic file writer for Pandas, Polars, NumPy, and other data objects |
2025-08-02 08:57:23 |
| pystatar |
0.4.0 |
PyStataR aims to recreate and significantly enhance the top and most frequently used Stata commands in Python, transforming them into the most powerful and user-friendly statistical tools for academic research. Our goal is to not just replicate Stata's functionality, but to expand and improve upon it, leveraging Python's ecosystem to create superior research tools. |
2025-08-02 00:19:39 |