pytablewriter
pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV / YAML.
What it is and what it does
pytablewriter is a table serialization library that takes tabular data—from nested lists, CSV, pandas DataFrames, or other sources—and renders it into output formats spanning text markup (Markdown, HTML, LaTeX, reStructuredText), data interchange (JSON, YAML, TOML), spreadsheets (Excel, SQLite), and specialized formats (Elasticsearch, JavaScript, NumPy, Pandas source code). It handles automatic cell alignment, padding, number formatting, and optional styling like text color and font weight.
The library is designed for developers who need to generate formatted tables programmatically—whether for documentation, reports, data export, or display in notebooks. It abstracts away format-specific syntax so you write data once and output it in multiple formats by changing the writer class. Dependencies include setuptools, DataProperty, mbstrdecoder, pathvalidate, tabledata, tcolorpy, and typepy, all of which handle data validation, encoding, and styling concerns.
Use it for:
- Generate Markdown tables for README files or documentation from Python data structures
- Export analysis results to Excel or CSV for sharing with non-technical stakeholders
- Create HTML tables for web pages or email reports from pandas DataFrames
- Build reStructuredText grid tables for Sphinx documentation from nested lists
- Serialize structured data to JSON or YAML formats for API responses or config files
- Write SQLite tables from in-memory data for persistence and querying
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Converts tabular data into formatted tables for output in multiple text, binary, and application-specific formats including Markdown, HTML, CSV, JSON, Excel, LaTeX, and SQLite.
Yes. pytablewriter is stable (Production/Stable status), actively maintained, has no known vulnerabilities, and solves a concrete problem—multi-format table serialization—with low install friction. Install it if you need to generate formatted tables in any of its supported output formats; skip it only if your use case is limited to a single format where a simpler, format-specific library would suffice.
Install
pytablewriter on PyPI
pip
pip install pytablewriteruv
uv add pytablewriterpoetry
poetry add pytablewriterInstalling pytablewriter
Before you install
Low friction installation with a pure-Python wheel. Active maintenance with recent commits; 7 runtime dependencies are all established libraries. No known vulnerabilities.
License in practice
MIT License permits commercial and private use with minimal restrictions; attribution required.
Quickstart
pip install pytablewriter
from pytablewriter import MarkdownTableWriter
writer = MarkdownTableWriter(
headers=["Name", "Value"],
value_matrix=[["A", 1], ["B", 2]]
)
writer.write_table()
Verify before relying
- Performance characteristics with large datasets or deeply nested structures
- Memory overhead when writing to multiple formats simultaneously
- Behavior and compatibility with non-ASCII characters in all supported formats
- Exact count of supported output formats beyond those explicitly named in documentation
Package facts
| License | MIT License (permissive) |
| Python support | supports the current Python release (>=3.9) |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | 7 — setuptools, DataProperty, mbstrdecoder, pathvalidate, tabledata, tcolorpy, typepy |
| Maintenance | actively maintained — 590 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 14,010,462/month — #1,254 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: pytablewriter-1.2.1-py3-none-any.whl
Keywords: AsciiDoc, table, CSV, Excel, JavaScript, JSON, LaTeX, LTSV, Markdown, MediaWiki, HTML, pandas, reStructuredText, SQLite, TSV, TOML
Tags
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