Name | Version | Summary | date |
datafusion |
48.0.0 |
Build and run queries against data |
2025-07-12 11:44:18 |
jsoniq |
0.1.0a7 |
Python edition of RumbleDB, a JSONiq engine |
2025-07-11 13:29:09 |
quixstreams |
3.19.0 |
Python library for building stream processing applications with Apache Kafka |
2025-07-09 13:32:23 |
google-pandas-agent |
1.0.3 |
Google‑native alternative to LangChain's create_pandas_dataframe_agent |
2025-04-21 01:13:18 |
agilab |
0.1.11 |
AGILAB a datascience IDE for engineering to explore AI |
2025-03-23 22:42:00 |
agi-gui |
0.1.11 |
AGI GUI |
2025-03-23 22:41:58 |
agi-core |
0.1.11 |
agi-core a framework for AGI |
2025-03-23 22:41:57 |
agi-env |
0.1.11 |
AGI Env |
2025-03-23 22:41:55 |
unpaac |
0.1.4 |
Pandas DataFrame and Series accessors to handle quantities with uncertainties. |
2025-03-03 00:13:12 |
pygwalker |
0.4.9.14 |
pygwalker: turn your data into an interactive UI for data exploration and visualization |
2025-02-26 02:13:27 |
dftogithubmarkdown |
0.10 |
DataFrame to GitHub markdown table |
2025-02-16 02:40:20 |
kola |
1.6.0 |
a Python Polars interface to kdb+/q |
2025-02-15 02:40:57 |
local-candles |
0.2.5 |
Candles (ohlc) loaders and cache |
2025-02-13 09:32:05 |
SQLDataModel |
1.3.0 |
SQLDataModel is a lightweight dataframe library designed for efficient data extraction, transformation, and loading (ETL) across various sources and destinations, providing an efficient alternative to common setups like pandas, numpy, and sqlalchemy while also providing additional features without the overhead of external dependencies. |
2025-02-09 21:30:51 |
llmworkbook |
0.1.8 |
Effortlessly harness the power of LLMs on Excel and DataFrames—seamless, smart, and efficient! |
2025-02-07 12:37:15 |
maplib |
0.14.12 |
Dataframe-based interactive knowledge graph construction |
2025-02-05 19:38:59 |
flatbread |
0.1.0 |
Pandas extension for aggregation and tabular display |
2025-02-01 09:56:56 |
pyinaturalist-convert |
0.7.0 |
Data conversion tools for iNaturalist observations and taxonomy |
2025-01-18 21:01:12 |
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 |
pandas-pyarrow |
0.2.0 |
A library for switching pandas backend to pyarrow |
2025-01-12 17:35:16 |