A single Python file with some tools for visualizing machine learning in the terminal.

git clone https://github.com/bwasti/mlvt.git
cd mlvt
python3 -m pip install -r requirements.txt
python3 test.py # demo above

print("loading!")
with mlvt.Reprint(auto_flush=True) as rp:
  for i in range(100):
    print(f"{i+1}%") # Reprint detects the loop and overwrites in-place
    time.sleep(0.02)
print("done!")

print("loading!")
rp = mlvt.Reprint()
for i in range(100):
  rp.print(f"{i+1}%")
  rp.flush()
  time.sleep(0.02)
print("done!")

a = """
{ hello! }
          \_    
"""
b = """
 ___
|. .|
| ^ |
| o |
"""
print(mlvt.horiz_concat(a, b, padding=2))

               ___
{ hello! }    |. .|
          \_  | ^ |
              | o |
              

import mlvt
import numpy as np

# all charts take in width, height, color
hist = mlvt.Histogram(32, 8, color="bright_blue")
hist.update(np.random.randn(100))
print(hist)

 (Counts)  ^
8.80000000 |
7.70000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
6.60000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
5.50000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡇⣶⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
4.40000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⢰⣶⣶⠀⠀⢸⡇⣿⠀⢰⣶⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
3.30000000 | ⠀⠀⠀⠀⠀⠀⠀⣿⢸⣿⣿⣿⣿⢸⣿⣿⣿⢸⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
2.20000000 | ⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⣿⣿⣿⢸⣿⣿⣿⣿⣿⣿⣿⣿⡇⢸⣿⠀⠀⠀⢸⡇⠀⠀
1.10000000 | ⠀⠀⢀⣀⡀⣿⣀⣿⣿⣿⣿⣿⣿⣸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⣇⣸⡇⠀⠀
         0 | ⠀⠀⢸⣿⡇⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⣿⣿⡇⠀⠀
-----------|-|---------|---------|---------|-> (X)
           | -2.124059 -0.741902 0.6402548 2.0224115