$npx skillfedfor your agent

sttable

Parser of string representation tables

With conditionsPyPI LibrariesReleased Nov 2019439.9K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — sttable-0.0.1-py3-none-any.whl
v0.0.1 · released 2019-11-23 · Python >=3.7

Yes, if you need a simple, zero-dependency table parser for small, well-formed ASCII tables in a non-critical context. The permissive MIT license and low install friction make it low-risk. However, the abandoned maintenance status means no bug fixes or Python version updates will arrive—install only if you can tolerate a static dependency.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Low install friction with no runtime dependencies.
  • However, the package is abandoned—last commit was 2022-12-08 and no releases since 2019-11-23.

License · maintenance · safety

MIT (permissive) — MIT license is permissive and poses no restrictions on commercial or private use, modification, or redistribution.

last release 2019-11-23 (2456 days) · last repo commit 2022-12-08 · 6 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 439,914 downloads/mo, #6,650 on PyPI

Verify before relying

pip install sttable

from sttable import parse_table

table_text = "header_1st_col | header_2nd_col |\nrow_1_of_1st_col | row_1_of_2nd_col |"
rows = parse_table(table_text)  # Returns list of dicts by row
  • Whether the parser handles edge cases like escaped pipes, multi-line cell content, or varying column widths
  • Performance characteristics with large tables
  • Actual compatibility with Python versions beyond 3.8 despite 'supports_current' classifier
Same gist for agents: .md · .json

What it is and what it does

sttable is a lightweight parser that converts ASCII-style string tables into structured Python data. It accepts pipe-delimited text with headers and rows, then exposes the parsed content as a list of dictionaries (one per row) or as a dictionary of lists (one per column). The package has no runtime dependencies and installs cleanly on Python 3.7 and later.

The primary use case is converting human-readable table text—such as documentation examples, test fixtures, or CLI output—into machine-readable form. It is designed for simple, well-formed tables. Given that the project is abandoned with no updates since 2022-12-08, it should be treated as a stable but unmaintained utility.

Use it for

  • Convert documentation examples or README tables into test data without manual dict construction
  • Parse tabular CLI output or log output into structured records for analysis
  • Build fixtures for unit tests that need to validate table-like data structures
  • Extract data from simple ASCII art tables in configuration files or reports

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need a simple, zero-dependency table parser for small, well-formed ASCII tables in a non-critical context.

The permissive MIT license and low install friction make it low-risk. However, the abandoned maintenance status means no bug fixes or Python version updates will arrive—install only if you can tolerate a static dependency.

Install

sttable on PyPI

Before you install

Low install friction with no runtime dependencies. However, the package is abandoned—last commit was 2022-12-08 and no releases since 2019-11-23.

License in practice

MIT license is permissive and poses no restrictions on commercial or private use, modification, or redistribution.

Quickstart

pip install sttable

from sttable import parse_table

table_text = "header_1st_col | header_2nd_col |\nrow_1_of_1st_col | row_1_of_2nd_col |"
rows = parse_table(table_text)  # Returns list of dicts by row

Verify before relying

  • Whether the parser handles edge cases like escaped pipes, multi-line cell content, or varying column widths
  • Performance characteristics with large tables
  • Actual compatibility with Python versions beyond 3.8 despite 'supports_current' classifier

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.7
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceAbandoned 2,456 days since the last release
Last repo commit
First released
Downloads439,914 / month, #6,650 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3.7Programming Language :: Python :: 3.8Topic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python Modules

Evidence: sttable-0.0.1-py3-none-any.whl

Tags

Capabilities
parse string tablespipe-delimited table parsertext table to dicttable string parsingcolumn row extractionascii table parser
Topics
text-parsingtable-extraction

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “parse string tables”

  • sttableParses string-formatted tables (with pipe-delimited columns and…
  • tableschemaValidates, infers, and works with tabular data using the Table Schema…
  • pylspciParses the output of the lspci command to extract and structure PCI…

Give your agent the search over MCP, or paste the wish link into any chat.

More Libraries packages

urllib3 Worth it
PyPI · Libraries · released May 2026

urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.

MITpure Python · 3.10+
1.8Bdownloads / mo
requests Worth it
PyPI · Libraries · released May 2026

Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.

Apache-2.0pure Python · 3.10+
1.8Bdownloads / mo
pluggy Worth it
PyPI · Libraries · released May 2025

Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.

Install it if you're building an extensible application or framework.

MITpure Python · 3.9+aging
1.3Bdownloads / mo
python-dateutil Worth it
PyPI · Libraries · released Mar 2024

Provides parsing, arithmetic, and recurrence rule computation for dates and times, with timezone support and iCalendar RFC compliance.

Install it if you need to parse flexible date strings, compute relative dates, handle timezones, or work with recurrence rules—it's the de facto choice for these tasks.

Apache-2.0pure Python
1.2Bdownloads / mo
six With conditions
PyPI · Libraries · released Dec 2024

Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.

MITpure Python
1.2Bdownloads / mo
pytest Worth it
PyPI · Libraries · released Jun 2026

pytest is a testing framework that lets you write test functions using plain assert statements and automatically discovers and runs them, with detailed failure reporting.

MITpure Python · 3.10+
1.1Bdownloads / mo

See also texttable · PTable · beautifultable · html-table-parser-python3 · prettytable · presto-types-parser · rcslice · terminaltables · py-markdown-table · json2html