gamma-pytools
A collection of Python extensions and tools used in BCG GAMMA's open-source libraries.
Decision gist · record as of 2026-08-14
Yes, if you need a well-maintained collection of ML and visualization utilities. The library is production-stable, actively maintained, has low install friction, and carries a permissive Apache 2.0 license. It is most valuable as a dependency for other projects or as a foundation for ML workflows that benefit from its bundled utilities. No security vulnerabilities are known. The Python 3.10+ requirement is a minor constraint for older codebases.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; not compatible with earlier Python versions.
- Low install friction with a pure-wheel distribution.
- Active maintenance with a recent commit on 2026-02-15 and production-stable status.
License · maintenance · safety
Apache Software License v2.0 (permissive) — Licensed under Apache 2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions—suitable for most projects.
last release 2024-07-04 (771 days) · last repo commit 2026-02-15 · 35 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 90,397 downloads/mo, #13,588 on PyPI
Alternatives
Verify before relying
pip install gamma-pytools
import pytools
# Use utilities like fitting, validation, or visualization helpers
# from the library's API development and ML utility modules- Whether the MVC visualization framework supports formats beyond matplotlib and plain text.
- Whether the expression-building utilities are suitable for symbolic math or domain-specific languages.
- Performance characteristics of the joblib-based parallelization for large-scale workloads.
What it is and what it does
gamma-pytools is a general-purpose utility library developed by BCG GAMMA that bundles machine learning, visualization, and API development helpers into a single package. It provides tools for simulating classification and regression data, constructing and rendering complex expressions, testing model fitting, and parallelizing work via joblib. The library also includes a lightweight MVC framework for rendering visualizations in different styles—matplotlib charts or plain text—and basic tooling for API development such as deprecation handling and runtime validation.
The package is designed as a reusable foundation for other libraries and projects that need common ML and visualization patterns. It depends on standard scientific Python packages (numpy, scipy, pandas, matplotlib) plus joblib for parallelization and typing utilities for modern Python type hints. With production-stable status and active maintenance, it targets Python 3.10+ on multiple operating systems.
Use it for
- Build and test machine learning pipelines with fitted-object validation and data simulation utilities.
- Render visualizations in multiple formats (matplotlib or text) using a unified MVC framework.
- Parallelize computationally intensive tasks across cores using joblib-based utilities.
- Develop APIs with built-in deprecation warnings, runtime validation, and documentation support.
- Generate and manipulate complex mathematical or symbolic expressions with indented string rendering.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need a well-maintained collection of ML and visualization utilities.
The library is production-stable, actively maintained, has low install friction, and carries a permissive Apache 2.0 license. It is most valuable as a dependency for other projects or as a foundation for ML workflows that benefit from its bundled utilities. No security vulnerabilities are known. The Python 3.10+ requirement is a minor constraint for older codebases.
Install
gamma-pytools on PyPI
Before you install
Low install friction with a pure-wheel distribution. Active maintenance with a recent commit on 2026-02-15 and production-stable status. Requires Python 3.10 or later.
Requires Python 3.10 or later; not compatible with earlier Python versions.
License in practice
Licensed under Apache 2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions—suitable for most projects.
Quickstart
pip install gamma-pytools
import pytools
# Use utilities like fitting, validation, or visualization helpers
# from the library's API development and ML utility modulesVerify before relying
- Whether the MVC visualization framework supports formats beyond matplotlib and plain text.
- Whether the expression-building utilities are suitable for symbolic math or domain-specific languages.
- Performance characteristics of the joblib-based parallelization for large-scale workloads.
Package facts
| License | Apache Software License v2.0 permissive |
| Python support | Supports the current Python release <4a,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagesjoblibmatplotlibnumpypandasscipytyping_inspecttyping_extensions |
| Maintenance | Actively maintained 771 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 90,397 / month, #13,588 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 :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxOperating System :: UnixProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Topic :: Scientific/Engineering |
Evidence: gamma_pytools-3.0.2-py3-none-any.whl
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