mitzu
Cubes
mitzu | Cubes | |
---|---|---|
3 | 1 | |
50 | 1,490 | |
- | 0.0% | |
10.0 | 0.0 | |
11 months ago | about 2 years ago | |
Python | Python | |
MIT License | Creative Commons Public Domain Dedication and Certification |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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mitzu
- Show HN: Open-source warehouse native product analytics
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What tools do you use/prefer for data analysis?
mitzu.io its super easy to use and you dont need to pay for extra compute like with amplitude because its not pulling the data through to another DWH
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Show HN: Mitzu the open-source Amplitude alternative
GitHub: https://github.com/mitzu-io/mitzu
Cubes
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Building data analysis apps
I'm looking for materials and tools to learn. I'm reading up on OLAP and cubes. I found cubes python package but it hasn't been updated in years. Could you give me some tips on what to learn in 2021?
What are some alternatives?
DXY-COVID-19-Data - 2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse
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
NumPy - The fundamental package for scientific computing with Python.
Bubbles - [NOT MAINTAINED] Bubbles – Python ETL framework
Dask - Parallel computing with task scheduling
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
blaze - NumPy and Pandas interface to Big Data
SymPy - A computer algebra system written in pure Python
statsmodels - Statsmodels: statistical modeling and econometrics in Python
Numba - NumPy aware dynamic Python compiler using LLVM
PyMC - Bayesian Modeling and Probabilistic Programming in Python