triad
A collection of python utils for Fugue projects
Decision gist · record as of 2026-08-14
Yes. Triad is actively maintained, has no known vulnerabilities, uses a permissive Apache-2.0 license, and installs with low friction. It is well-suited for projects using Fugue or those needing reliable pandas/PyArrow interoperability and type utilities. The recent version history shows ongoing compatibility work with current Python and library versions.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; depends on numpy, pandas, pyarrow, six, and fsspec at runtime.
- Low install friction with a pure-Python wheel.
- Actively maintained with recent releases supporting current Python versions (3.9–3.14) and recent pandas/PyArrow compatibility updates.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions.
last release 2026-02-11 (184 days) · last repo commit 2026-05-08 · 11 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,421,119 downloads/mo, #3,071 on PyPI
Alternatives
Verify before relying
pip install triad
import triad
from triad.utils.pandas_like import PandasLikeUtils
# Example: type enforcement on a pandas DataFrame
df = PandasLikeUtils.enforce_type(df, schema)- Specific utility functions available in the public API beyond type conversion and schema handling.
- Performance characteristics or scale limits for large dataframes or PyArrow tables.
- Integration patterns with Fugue beyond being a utility dependency.
What it is and what it does
Triad is a collection of utility functions built to support Fugue projects, with a focus on bridging pandas and PyArrow operations. It provides schema handling, type conversion, dataframe manipulation helpers, and filesystem abstraction through fsspec. The package handles compatibility across pandas and PyArrow versions, including recent changes in pandas 2.2+ and PyArrow type systems.
The package is maintained actively and supports modern Python versions (3.9 through 3.14). Its main dependencies are numpy, pandas, six, pyarrow, and fsspec, making it suitable for data processing workflows that need reliable type casting and schema validation across different dataframe libraries.
Use it for
- Convert between pandas and PyArrow data types while maintaining schema consistency in data pipelines.
- Enforce type safety on dataframes during ETL operations within Fugue workflows.
- Abstract filesystem operations across local and remote storage using fsspec integration.
- Parse and manipulate schema definitions for structured data validation.
- Handle pandas and PyArrow compatibility issues across version upgrades.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Triad is actively maintained, has no known vulnerabilities, uses a permissive Apache-2.0 license, and installs with low friction. It is well-suited for projects using Fugue or those needing reliable pandas/PyArrow interoperability and type utilities. The recent version history shows ongoing compatibility work with current Python and library versions.
Install
triad on PyPI
Before you install
Low install friction with a pure-Python wheel. Actively maintained with recent releases supporting current Python versions (3.9–3.14) and recent pandas/PyArrow compatibility updates.
Requires Python 3.9 or later; depends on numpy, pandas, pyarrow, six, and fsspec at runtime.
License in practice
Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions.
Quickstart
pip install triad
import triad
from triad.utils.pandas_like import PandasLikeUtils
# Example: type enforcement on a pandas DataFrame
df = PandasLikeUtils.enforce_type(df, schema)Verify before relying
- Specific utility functions available in the public API beyond type conversion and schema handling.
- Performance characteristics or scale limits for large dataframes or PyArrow tables.
- Integration patterns with Fugue beyond being a utility dependency.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesnumpypandassixpyarrowfsspec |
| Maintenance | Actively maintained 184 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,421,119 / month, #3,071 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 :: DevelopersProgramming 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 :: 3.9Topic :: Software Development :: Libraries :: Python Modules |
Evidence: triad-1.0.2-py3-none-any.whl
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See also fugue · adagio · pandas · qpd · pyarrow · narwhals · fugue-sql-antlr · geoarrow-pandas · feather-format · gspread-dataframe