| Name | Version | Summary | date |
| ExcelPlugin |
0.1.8 |
Плагин для гибкой настройки Excel документов. |
2025-02-15 14:55:38 |
| local-candles |
0.2.5 |
Candles (ohlc) loaders and cache |
2025-02-13 09:32:05 |
| gurobipy-pandas |
1.2.1 |
Pandas accessors for gurobipy interaction |
2025-02-10 22:44:29 |
| slimp |
1.0.0 |
Linear models with Stan and Pandas |
2025-02-10 21:08:01 |
| datasetclient |
0.1.3 |
A simple Python package to interact with a IDARE dataset API. |
2025-02-10 09:28:31 |
| baribal |
0.2.0 |
Helper functions for pandas data analysis, inspired by R |
2025-02-06 21:30:28 |
| cytimes |
2.0.3 |
Make working with datetimes in Python simpler and more powerful. |
2025-02-06 04:46:16 |
| serializor |
2.0.3 |
Serialization/Deserialization for Python native and NumPy/Pandas objects. |
2025-02-06 04:35:31 |
| db-dtypes |
1.4.1 |
Pandas Data Types for SQL systems (BigQuery, Spanner) |
2025-02-05 21:04:54 |
| dfimg |
0.1.3 |
A library to convert polars/ pandas dataframes to image. |
2025-02-02 06:23:37 |
| imessage-conversation-analyzer |
2.6.0 |
Analyzes the entire history of a macOS Messages conversation |
2025-02-02 00:34:35 |
| PyQvd |
2.2.1 |
Utility library for reading/writing Qlik View Data (QVD) files in Python. |
2025-02-01 13:59:59 |
| flatbread |
0.1.0 |
Pandas extension for aggregation and tabular display |
2025-02-01 09:56:56 |
| arrowsqlbcpy |
0.2.1 |
A tiny library that uses .Net SqlBulkCopy to enable fast data loading to Microsoft SQL Server. Apache Arrow is used to serialise data between Python and the native DLL. .Net Native Library AOT compilation is used to generate the native DLL. |
2025-01-31 15:23:22 |
| pyEager |
0.1.6.0 |
A simple package to read in eager results. |
2025-01-30 13:34:04 |
| pangea-client |
0.3.5 |
Pangea Client connects you to The First Immersive Web3 Environment |
2025-01-21 00:03:20 |
| gpxo |
0.2.0 |
Load, analyze and plot GPS data from GPX files with numpy/pandas |
2025-01-19 17:23:22 |
| etl-utilities |
0.10.10 |
This repository provides a collection of utility functions and classes for data cleaning, SQL query generation, and data analysis. The code is written in Python and uses libraries such as `pandas`, `numpy`, and `dateutil`. |
2025-01-16 14:37:28 |
| sdmx1 |
2.21.1 |
Statistical Data and Metadata eXchange (SDMX) |
2025-01-15 18:11:37 |
| pyturbo-analytics |
0.1.2 |
A high-performance Python library for blazing-fast data analysis |
2025-01-13 16:02:14 |