The Showdown
NumPyvsPyArmadillo
Why pay monthly fees for NumPy when you can self-host PyArmadillo for free? Let's look at the facts.
VS
NumPy
The Expensive Option
- Closed Source (Black box)
- Expensive monthly fees per user
- Data stored on their servers
WINNER
PyArmadillo
The Freedom Choice
- 100% Open Source Code
- Free forever (Self-hosted)
- You own your data completely
Interactive Calculator
Calculate Your "SaaS Tax"
SaaS pricing is designed to scale with your success.
See how much wealth transfers from your bank account to NumPy's shareholders.
10 people
150100200+
$
*Estimated standard pricing for NumPy. Adjust if needed.
Estimated Annual Waste
$1,440
Monthly Burn Rate$120
5-Year Projection$7,200
Cost with Self-Hosted$0
Calculations based on 10 users at $12/mo.
Detailed Breakdown
0
OpenBLAS / MKL
Armadillo C++
1
Array-oriented
Matlab-like
2
Python object overhead
Efficient C++ views