tabledata

library1.3.5pypypi✓ verified 28d ago

tabledata is a Python library designed to represent tabular data programmatically. It serves as a foundational component for other libraries by the same author, such as pytablewriter, pytablereader, and SimpleSQLite. The library is actively maintained, with its current version being 1.3.4, and receives regular updates.

data serialization

pip install tabledata

github ↗package ↗docs ↗changelog ↗

INSTALL

IMPORT

SIG · TABLEDATA

tabledata

datapythonv1.3.5

Install

3.0s avg

Import

101ms

Disk

37MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.3.5 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.104s · 36.7MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 3.0s · import 0.098s · 37MB

37MB installed

● package 37MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

TableData

✓ from tabledata import TableData

ColumnData

✓ from tabledata import ColumnData

DataRow

✓ from tabledata import DataRow

Creates a TableData object to represent tabular data with a name, headers, and rows, then demonstrates basic access to its components.

from tabledata import TableData table_name = "users" headers = ["ID", "Name", "Email"] rows = [ [1, "Alice", "alice@example.com"], [2, "Bob", "bob@example.com"], [3, "Charlie", "charlie@example.com"] ] table = TableData(table_name, headers, rows) print(f"Table Name: {table.table_name}") print(f"Headers: {table.headers}") for row in table.rows: print(f"Row: {row.data}") # Accessing data (example) print(f"First user's name: {table.rows[0].get_value_by_name('Name')}")

Debug

Known issues

breakingSupport for Python 3.7 and 3.8 was dropped in version 1.3.4. Users on these Python versions must upgrade to Python 3.9+ to use the latest `tabledata` versions.

fix

Upgrade Python environment to 3.9 or higher. For Ubuntu, consider `sudo add-apt-repository ppa:thombashi/ppa && sudo apt update && sudo apt install python3-tabledata` or standard Python upgrade methods.

affects: >=1.3.4

breakingThe minimum required version of the `DataProperty` library was bumped to 1.0.1 in `tabledata` v1.3.2. Older `DataProperty` versions may lead to incompatibility issues.

fix

Ensure `DataProperty` is updated to version 1.0.1 or newer. `pip install --upgrade DataProperty` or reinstalling `tabledata` should resolve this.

affects: >=1.3.2

breakingSupport for Python 3.6 was dropped in version 1.3.2.

fix

Upgrade Python environment to 3.9 or higher.

affects: >=1.3.2

breakingPython 2 support was entirely dropped in version 1.0.0. All versions from 1.0.0 onwards are Python 3 only.

fix

Migrate codebase to Python 3.

affects: >=1.0.0

Upgrade

Version history

1.3.5latest on PyPI · released May 11, 2026

Audit

Dependencies

DataPropertyrequiredCore dependency for property extraction and data handling within tabular data structures.

pandasoptionalRequired to convert table data into a pandas DataFrame object.

loguruoptionalUsed for logging purposes if installed.

Agent activity

25 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/thombashi/tabledata ↗

packagehttps://pypi.org/project/tabledata/ ↗

docshttps://tabledata.rtfd.io/ ↗

changeloghttps://github.com/thombashi/tabledata/releases ↗