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arpakitlib

🚀 Simplify Your Development Workflow

A collection of lightweight and convenient development tools by arpakit, designed to simplify and accelerate your workflow.

PyPI Python License


What is inside

A set of small, self-contained utilities you pick from one at a time.

The base install stays light and pulls only a handful of packages. Everything that needs a heavier library lives in its own subpackage behind an optional extra, so you install a web framework or a bot framework only if you actually use that part.

Subpackage Extra What is inside
common_util always installed JSON, dates, strings, dictionaries, files, settings, background workers, retries, enumerations, shell commands, database dumps, email validation
http_client_util http-client-util sync and async requests with retries and proxy support, plus a base API client
sqlalchemy_util sqlalchemy-util declarative base with introspection, database helper, check constraints, pydantic schemas from existing models
xlsx_util xlsx-util xlsx export from a list of dicts, with typed cells and autosized columns
zip_util zip-util zip archives from files and folders, optionally AES encrypted
aiogram_util aiogram-util parsing telegram bot commands

Every module is self-contained: import the one function you need and nothing else comes along.


Supported Python version

  • Python 3.13.4 and above

Installation

The base install gives you everything in common_util:

pip install arpakitlib
poetry add arpakitlib
uv add arpakitlib

Add the extras you need, separately or several at once:

pip install "arpakitlib[sqlalchemy-util]"
pip install "arpakitlib[aiogram-util,http-client-util]"
poetry add "arpakitlib[sqlalchemy-util,xlsx-util]"

Pin an exact version:

pip install arpakitlib==3.0.14

Install a pre-release from TestPyPI:

pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple/ arpakitlib

Quick start

from datetime import datetime
from decimal import Decimal

from arpakitlib.common_util.json_etc import convert_data_to_json_str

print(convert_data_to_json_str({"when": datetime(2026, 9, 4), "price": Decimal("1.5")}))
# {
#   "when": "2026-09-04T00:00:00",
#   "price": "1.5"
# }

print(convert_data_to_json_str({"when": datetime(2026, 9, 4)}, beautify=False))
# {"when":"2026-09-04T00:00:00"}

Development

Extras are not installed by default, so use --all-extras to get a full environment:

poetry install --all-extras


❤️ Made by arpakit ❤️

Metadata

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