tabledata
tabledata is a Python library to represent tabular data. Used for pytablewriter/pytablereader/SimpleSQLite/etc.
Decision gist · record as of 2026-08-14
Yes—if you are building or using table-oriented tools in the Python ecosystem (pytablewriter, pytablereader, SimpleSQLite). For standalone use, it is a low-level abstraction; install it only if you need a standard table representation for interoperability with other libraries. No security concerns, permissive license, and low friction.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low install friction; pure Python wheel with only two runtime dependencies (DataProperty and typepy).
- Actively maintained as of 2026-07-20 with stable production status.
License · maintenance · safety
MIT License (permissive) — MIT License (permissive) allows free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
last release 2026-05-11 (95 days) · last repo commit 2026-07-20 · 8 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 8,217,747 downloads/mo, #1,645 on PyPI
Alternatives
Verify before relying
pip install tabledata
from tabledata import TableData
table = TableData()- How TableData objects are typically instantiated and what parameters they accept beyond the constructor.
- Whether pandas integration (listed as optional) is automatic or requires explicit configuration.
- What methods or properties are available on TableData instances for reading, writing, or transforming table data.
What it is and what it does
tabledata is a Python library that defines a standard in-memory representation for tabular data, designed to be used by other table-oriented tools in the ecosystem. It abstracts the concept of a table so that libraries like pytablewriter (for writing tables to various formats) and pytablereader (for reading tables from various sources) can work with a common data structure without reimplementing table handling themselves.
The package depends on DataProperty and typepy for data validation and type inference. It supports optional integration with pandas for converting tables to DataFrames, and with loguru for logging. The library is actively maintained, supports Python 3.10 through 3.14, and carries no known security vulnerabilities.
Use it for
- Use it as a shared table abstraction when building tools that read or write tabular data in multiple formats.
- Use it to normalize table representations across different data sources before processing or transformation.
- Use it as a foundation for table-oriented libraries that need a standard in-memory table structure.
- Use it to convert tables to pandas DataFrames when optional pandas support is installed.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes—if you are building or using table-oriented tools in the Python ecosystem (pytablewriter, pytablereader, SimpleSQLite).
For standalone use, it is a low-level abstraction; install it only if you need a standard table representation for interoperability with other libraries. No security concerns, permissive license, and low friction.
Install
tabledata on PyPI
Before you install
Low install friction; pure Python wheel with only two runtime dependencies (DataProperty and typepy). Actively maintained as of 2026-07-20 with stable production status.
Requires Python 3.10 or later.
License in practice
MIT License (permissive) allows free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
Quickstart
pip install tabledata
from tabledata import TableData
table = TableData()Verify before relying
- How TableData objects are typically instantiated and what parameters they accept beyond the constructor.
- Whether pandas integration (listed as optional) is automatic or requires explicit configuration.
- What methods or properties are available on TableData instances for reading, writing, or transforming table data.
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesDataPropertytypepy |
| Maintenance | Actively maintained 95 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 8,217,747 / month, #1,645 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Information TechnologyLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: tabledata-1.3.5-py3-none-any.whl
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See also pytablewriter · tablib · mltable · agate · DataProperty · tabulate · json2html · table-logger · PTable · tabpfn-common-utils