installer-ml 1.1.5

Auto install and import ML/DL libraries in Python

installer-ml

A simple Python utility for auto-installing and importing common Data Science / Machine Learning libraries.
It helps you avoid ModuleNotFoundError by checking, installing (via pip), and importing automatically with aliases like np, pd, plt, sns, etc.

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🚀 Features

• Auto-install missing packages using pip.
• Support for common ML/DL/NLP/CV libraries (scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM, Transformers, etc.).
• Automatic alias assignment (np, pd, plt, sns, tf, torch, …).
• Multiple installation modes:
  • Silent (quiet=True) → no logs at all.
  • Semi-silent (quiet="semi") → minimal logs (default).
  • Verbose (quiet=False) → full pip logs.
• Import one, many, or all libraries ("*").
• Mapping import name ↔ pip package name (e.g., cv2 ↔ opencv-python, PIL ↔ pillow).
• Display version after import.

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📦 Installation

Clone or copy the file installer_ml.py into your project.
(If you later publish it to PyPI, you can install via pip install installer-ml).

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🔑 Usage

1. Import a single library

from installer_ml import import_libs

import_libs("pandas")
print(pd.DataFrame({"a":[1,2,3]}))

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2. Import multiple libraries

from installer_ml import import_libs

import_libs(["numpy", "pandas", "matplotlib"])

print(np.arange(5))
print(pd.DataFrame({"x":[1,2,3]}))
plt.plot([1,2,3], [2,4,6])
plt.show()

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3. Import all supported libraries

from installer_ml import import_libs

import_libs("*")

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4. Control logging

# Fully silent (no logs, no print)
import_libs(["numpy", "pandas"], True)

# Semi-silent (minimal messages, default)
import_libs(["numpy", "pandas"], "semi")

# Full logs
import_libs(["numpy", "pandas"], False)

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📚 Supported Libraries & Aliases

Library	Alias
numpy	np
pandas	pd
matplotlib (pyplot)	plt
seaborn	sns
scikit-learn	sklearn
xgboost	xgb
lightgbm	lgb
catboost	cb
torch	torch
torchvision	tv
torchaudio	ta
tensorflow	tf
keras	keras
transformers	trf
sentence-transformers	stf
spacy	spacy
nltk	nltk
gensim	gs
cv2 (OpenCV)	cv2
pillow (PIL)	pil
imageio	imio
pyspark	spark
pyarrow	pa
tqdm	tqdm
joblib	joblib
h5py	h5
scipy	sp
statsmodels	sm

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⚙️ Example with all aliases

from installer_ml import import_libs

import_libs("*")

print(np.arange(5))
print(pd.DataFrame({"x":[1,2,3]}))
plt.plot([1,2,3], [2,4,6])
plt.show()

print(tf.__version__)    # tensorflow
print(torch.__version__) # pytorch
print(trf.__version__)   # transformers

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📌 License

MIT License. Free to use and modify.