| Name | Version | Summary | date |
| polars-u64-idx |
1.32.0 |
Blazingly fast DataFrame library |
2025-08-01 01:43:25 |
| polars-lts-cpu |
1.32.0 |
Blazingly fast DataFrame library |
2025-08-01 01:43:24 |
| polars |
1.32.0 |
Blazingly fast DataFrame library |
2025-08-01 01:43:22 |
| polars-root |
0.1.1 |
Polars plugin for reading CERN's ROOT file format |
2025-07-30 13:39:29 |
| excelify-lib |
0.1.0 |
Create Excel spreadsheets with formulas using a DataFrame-like API |
2025-07-20 19:32:45 |
| tidypolars4sci |
0.0.1.21 |
Tidyverse-like functions for python polars with extended functionalities for science. |
2025-02-15 03:28:30 |
| dfimg |
0.1.3 |
A library to convert polars/ pandas dataframes to image. |
2025-02-02 06:23:37 |
| lontras |
0.0.2 |
A lightweight, dictionary-based DataFrame implementation in pure Python. Designed for simplicity and ease of use. Perfect for small projects or when a full-fledged DataFrame library is overkill. |
2025-01-25 17:18:17 |
| mongodf |
0.1.15 |
None |
2025-01-24 15:38:47 |
| sea-serpent |
0.4.1 |
Dataframe-like wrapper for SeaTable API. |
2024-12-10 16:51:06 |
| tabeline |
0.5.0 |
A data frame and data grammar library |
2024-11-25 13:42:12 |
| pricehub |
0.0.3.13 |
Pricehub: Unified Python Package for Collecting OHLC Prices from Binance, Bybit, and Coinbase APIs into a DataFrame |
2024-11-23 14:29:51 |
| perse |
0.1.9 |
Perse is a unified DataFrame package that combines the best of Pandas, Polars, and DuckDB for efficient data handling, querying, and visualization. |
2024-11-08 23:11:33 |
| dataframe-image |
0.2.6 |
Embed pandas DataFrames as images in pdf and markdown files when converting from Jupyter Notebooks |
2024-10-24 11:13:03 |
| mysiar-data-flow |
0.0.1 |
Python data manipulation library |
2024-10-16 17:43:45 |
| polars-nightly |
1.7.2.post20240919 |
Blazingly fast DataFrame library |
2024-09-19 04:21:56 |
| frame-fixtures |
1.1.0 |
Use compact expressions to create diverse, deterministic DataFrame fixtures with StaticFrame |
2024-07-13 06:38:58 |
| pdtable |
1.0.1 |
Reads and writes data stored in StarTable format; and stores table data inmemory as a Pandas data frame for easy manipulation. |
2024-07-09 07:44:29 |
| multi-column-distribution-sampler |
0.0.1 |
Distribution based sampling for multiple categorical columms |
2024-06-17 02:19:53 |
| polars-cli |
0.8.0 |
CLI interface for running SQL queries with Polars as backend |
2024-06-03 07:44:21 |