vinum
siuba
| vinum | siuba | |
|---|---|---|
| 5 | 25 | |
| 65 | 1,101 | |
| - | - | |
| 0.0 | 7.5 | |
| almost 3 years ago | 8 months ago | |
| C++ | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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vinum
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Practical SQL for Data Analysis(what you can do without Pandas)
Following similar observations I was wondering if one can actually execute SQL queries inside of Python process with the access to native Python functions and Numpy as UDFs. Thanks to Apache Arrow one can mix C++ and Python operators without need to copy the data and essentially combine DataFrame API with SQL, all while within the confines of the same Python process.
https://github.com/dmitrykoval/vinum
Vinum allows users to write queries which may invoke any Numpy or Python functions as UDFs available to the interpreter.
- Vinum is a SQL query processor for Python, designed for data analysis workflows
- dmitrykoval/vinum Vinum is a SQL query processor for Python, designed for data analysis workflows and in-memory analytics.
- Vinum – SQL Processor for Python with native Python, Numpy UDF support.
- Show HN: Vinum – SQL Processor for Python with Native Python, Numpy UDF Support
siuba
- The Design Philosophy of Great Tables (Software Package)
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Best alternative to Pandas 2023?
I don't know what's best for you, but I can recommend Siuba, a tidy interface for Python to send queries to pandas and SQL-db.
- Method Chaining in Pandas: Bad Form or a Recipe for Success?
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Happy Halloween, Pandas! 🎃🤓
You mean siuba?
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Explorer (Elixir and Polars)
For further inspiration, this is a pretty good-looking "dplyr for Python": https://github.com/machow/siuba
- Unpopular opinion: Matplotlib is a bad library
- A trick to have arbitrary infix operators in Python
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Going from R to Pandas: dplython vs dfply vs plydata
You should follow /u/the75th's advice. However, if you decide to buck that take, I'd look into siuba. I've never heard of those packages you've listed, and have doubts they'd be maintained.
- Tidyverse equivalent in Python?
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R / Tidyverse User -> Python | How to Make it Hurt Less
Check out siuba
What are some alternatives?
NumCpp - C++ implementation of the Python Numpy library
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
turbodbc - Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.
dtale - Visualizer for pandas data structures
datatable - A Python package for manipulating 2-dimensional tabular data structures
Altair - Declarative statistical visualization library for Python
duckdb - DuckDB is an in-process SQL OLAP Database Management System
q - q - Run SQL directly on delimited files and multi-file sqlite databases
DataFramesMeta.jl - Metaprogramming tools for DataFrames
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
data.table - R's data.table package extends data.frame: