constantly
Symbolic constants in Python
Decision gist · record as of 2026-08-14
Yes, if you need a lightweight, dependency-free way to define symbolic constants. The library is actively maintained, has no security vulnerabilities, and works across modern Python versions. It's worth installing for projects that benefit from structured constant definitions—particularly those already using Twisted or preferring this API over Python's built-in enum module.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later.
- Low install friction; pure Python wheel with no runtime dependencies.
- Active maintenance with recent commits; last release 1021 days ago but repository remains current.
License · maintenance · safety
MIT (permissive) — MIT license (permissive); you can use this freely in commercial and open-source projects with minimal restrictions.
last release 2023-10-28 (1021 days) · last repo commit 2026-04-27 · 24 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 14,174,793 downloads/mo, #1,244 on PyPI
Alternatives
Verify before relying
pip install constantly
from constantly import ValueConstant, Names
class Colors(Names):
RED = ValueConstant()
GREEN = ValueConstant()
BLUE = ValueConstant()- Whether the package's constant syntax and API remain stable for long-term use in large codebases.
- Performance characteristics when working with very large constant collections.
What it is and what it does
Constantly provides a way to define and work with symbolic constants in Python—a more structured alternative to plain module-level variables or enums. It originated from the Twisted project's internal constant system and offers support for text values, numeric values, and bit flags organized into named collections. The library is pure Python with no external dependencies, making it lightweight and easy to integrate.
Developers use it when they need a clean, type-safe way to represent a fixed set of named values—such as status codes, configuration options, or protocol flags—without the overhead of a full enum class. It's particularly useful in projects that already depend on Twisted or in codebases where enum semantics don't quite fit the use case.
Use it for
- Define status codes or state constants that need to be grouped and referenced by name.
- Create bit flag constants for protocol or permission systems where multiple flags combine.
- Build configuration option sets that are safer than raw strings or integers.
- Organize numeric constants (e.g., error codes) into named collections for clarity.
- Replace ad-hoc constant definitions in Twisted-based projects with a standard library.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need a lightweight, dependency-free way to define symbolic constants.
The library is actively maintained, has no security vulnerabilities, and works across modern Python versions. It's worth installing for projects that benefit from structured constant definitions—particularly those already using Twisted or preferring this API over Python's built-in enum module.
Install
constantly on PyPI
Before you install
Low install friction; pure Python wheel with no runtime dependencies. Active maintenance with recent commits; last release 1021 days ago but repository remains current.
Requires Python 3.8 or later.
License in practice
MIT license (permissive); you can use this freely in commercial and open-source projects with minimal restrictions.
Quickstart
pip install constantly
from constantly import ValueConstant, Names
class Colors(Names):
RED = ValueConstant()
GREEN = ValueConstant()
BLUE = ValueConstant()
Verify before relying
- Whether the package's constant syntax and API remain stable for long-term use in large codebases.
- Performance characteristics when working with very large constant collections.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 1,021 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 14,174,793 / month, #1,244 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Software Development :: Libraries :: Python Modules |
Evidence: constantly-23.10.4-py3-none-any.whl
Tags
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 › “symbolic constants python”
- constantlyProvides symbolic constant support in Python, including collections…
- aenumaenum provides advanced enumeration types (Enum, IntEnum, Flag,…
- enum34Provides enumeration support for older Python versions by backporting…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also aenum · enum34 · ntstatus · backports.strenum · constantdict · symengine · fxpmath · pytest-twisted · sed4onnx · enum-compat