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Pure Python lite version of Pandas DataFrame.

Project description

tinytable

Pure Python, lightweight DataFrame-like table for small datasets. Zero C extensions. Friendly API inspired by pandas, but tiny.

Python 3.8+ License: MIT Tests

Installation

pip install tinytable

Supports Python 3.8–3.13.

Quickstart

from tinytable import Table, read_csv, read_excel, read_sqlite

# Read from files
t1 = read_csv('tests/data/people.csv')
t2 = read_excel('tests/data/people.xlsx', sheet_name='Sheet1')
t3 = read_sqlite('tests/data/data.db', 'people')

# Construct manually
t = Table({'id': [1, 2, 3], 'name': ['a', 'b', 'c']}, labels=[('r1',), ('r2',), ('r3',)])

# Column/row access
ids = t['id']           # Column
row1 = t[0]             # Row
subset = t[['id']]      # New Table with only id

# Filter and slice
adults = t[t['id'] > 1] # boolean filter
head = t[:2]            # slice rows

# Edit
t.edit_value('name', 0, 'z')
t2 = t.edit_column('id', [10, 20, 30], inplace=False)

# IO
t.to_csv('out.csv')
t.to_excel('out.xlsx', sheet_name='Sheet1')
t.to_sqlite('out.db', table_name='people', primary_key='id', replace_table=True)

Features

  • Pure Python: No C extensions, easy to install and debug
  • Pandas-like API: Familiar interface for data manipulation
  • Multiple I/O formats: CSV, Excel, SQLite support
  • Type-safe: Full mypy type checking support
  • Well-tested: Comprehensive test suite with 76% coverage (235 tests)
  • Modern packaging: Uses pyproject.toml and supports Python 3.8-3.13

API surface

  • Table: core container with column/row operations, head, tail, joins, group stats, NA ops.
  • Readers: read_csv, read_excel, read_sqlite.
  • Writers: to_csv, to_excel, to_sqlite.

Development

This package has been fully modernized with:

  • Modern Python packaging (pyproject.toml)
  • Comprehensive testing (pytest with 235 tests, all passing)
  • Type safety (mypy strict checking)
  • Code quality (ruff linting and formatting)
  • CI/CD (GitHub Actions)
  • 100% backward compatibility

Contributing

PRs welcome. Run tests and linters:

pip install -e .[dev]
pytest -q
mypy tinytable
ruff check .
ruff format .

Notes

  • This release (v0.18.1) includes comprehensive modernization, bug fixes, improved type safety, and robust empty table handling.
  • See CHANGELOG.md for detailed release notes.

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