PyDigger - unearthing stuff about Python


NameVersionSummarydate
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
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