Maten
A lightweight, dependency-free Python toolkit that provides NumPy-, Pandas-, Matplotlib-, and TensorFlow-like APIs for learning and prototyping.
Features
- maten.core — N-dimensional tensors, element-wise math, and linear algebra
- maten.frame — Series, DataFrame, groupby, and CSV/JSON I/O
- maten.plot — SVG charts (line, bar, scatter, hist, pie, heatmap)
- maten.neural — Scalar autograd, layers, optimizers, and a simple trainer
Installation
From the project root:
pip install .
Editable install for development:
pip install -e ".[dev]"
Quick start
import maten
from maten.core import Tensor, zeros
from maten.frame import DataFrame
from maten.plot import subplots, line
from maten.neural import Value
print(maten.__version__)
print(zeros(3))
print(DataFrame({"x": [1, 2, 3]}))
_, ax = subplots()
line(ax, [0, 1, 2], [0, 1, 4])
ax.save("demo.svg")
x = Value(2.0)
y = x * x
y.backward()
print(x.grad) # 4.0
Examples
python examples/core_demo.py
python examples/frame_demo.py
python examples/plot_demo.py
python examples/neural_demo.py
Tests
pytest
Documentation
License
MIT — see LICENSE.
1 maintainer
Metadata
1 maintainer
Release files for maten 0.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| maten-0.1.1.tar.gz | 32.5 kB | Without provenance | Details for maten-0.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| maten-0.1.1-py3-none-any.whl | Python 3 | none | any | Details for maten-0.1.1-py3-none-any.whl |
Total release size: 66.3 kB
Release files / maten-0.1.1.tar.gz
| Download URL | maten-0.1.1.tar.gz |
|---|---|
| Size | 32.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / maten-0.1.1-py3-none-any.whl
| Download URL | maten-0.1.1-py3-none-any.whl |
|---|---|
| Size | 33.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.14.0
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