itypes
Simple immutable types for python.
Decision gist · record as of 2026-08-14
No. The package is abandoned (last commit 2020-04-19, repository archived) with no active maintenance or security updates. While it has low install friction and permissive licensing, the lack of maintenance means it will not receive bug fixes or compatibility updates for modern Python versions. For immutable containers, consider actively maintained alternatives.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Installation is straightforward with no runtime dependencies.
- However, the package is abandoned—last updated in April 2020, over 2308 days ago, with the repository archived.
- No active maintenance or security updates are being provided.
License · maintenance · safety
BSD (permissive) — Licensed under BSD (permissive), which allows use in most projects without restriction. No notable licensing constraints for adoption.
last release 2020-04-19 (2308 days) · last repo commit 2020-04-19 · 19 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,659,324 downloads/mo, #3,676 on PyPI
Alternatives
Verify before relying
pip install itypes
import itypes
d = itypes.Dict({'a': 1, 'b': 2})
l = itypes.List(['x', 'y', 'z'])
d2 = d.set('c', 3) # returns new Dict, original unchanged- Whether the package works reliably on Python versions released after 2020
- Whether nested immutability coercion handles all edge cases in modern Python
- Performance characteristics compared to alternatives for large data structures
What it is and what it does
itypes provides immutable versions of Python's dict and list that prevent accidental modification and automatically convert nested mutable structures to immutable equivalents. When you call methods like `set()` or `delete()`, they return new copies rather than modifying in place; direct assignment or deletion raises a TypeError. The package also supports nested lookups and updates via `get_in()`, `set_in()`, and `delete_in()` methods, and objects are hashable so they can be used as dictionary keys or in sets.
The library is designed for simplicity and code clarity rather than performance—it trades speed for readability in scenarios where immutability helps prevent bugs or makes intent clearer. You can subclass `itypes.Dict` or `itypes.Object` to create custom immutable types with restricted interfaces, using private attributes and `@property` decorators for controlled access.
Use it for
- Store configuration data that should not be accidentally modified during program execution
- Use immutable dicts as dictionary keys or in sets where hashability is required
- Create custom immutable domain objects by subclassing itypes.Object with property-based access
- Enforce immutability in nested data structures where both top-level and inner collections must be read-only
- Simplify reasoning about data flow in codebases where immutability prevents side effects
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned (last commit 2020-04-19, repository archived) with no active maintenance or security updates. While it has low install friction and permissive licensing, the lack of maintenance means it will not receive bug fixes or compatibility updates for modern Python versions. For immutable containers, consider actively maintained alternatives.
Install
itypes on PyPI
Before you install
Installation is straightforward with no runtime dependencies. However, the package is abandoned—last updated in April 2020, over 2308 days ago, with the repository archived. No active maintenance or security updates are being provided.
License in practice
Licensed under BSD (permissive), which allows use in most projects without restriction. No notable licensing constraints for adoption.
Quickstart
pip install itypes
import itypes
d = itypes.Dict({'a': 1, 'b': 2})
l = itypes.List(['x', 'y', 'z'])
d2 = d.set('c', 3) # returns new Dict, original unchangedVerify before relying
- Whether the package works reliably on Python versions released after 2020
- Whether nested immutability coercion handles all edge cases in modern Python
- Performance characteristics compared to alternatives for large data structures
Package facts
| License | BSD permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 2,308 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 1,659,324 / month, #3,676 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/StableEnvironment :: Web EnvironmentIntended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.4Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Topic :: Internet :: WWW/HTTP |
Evidence: itypes-1.2.0-py2.py3-none-any.whl
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See also constantdict · ml-collections · optionaldict · pyrsistent · frozendict · immutabledict · rpds-py · immutables · lenses · sumtypes