intervals
Python tools for handling intervals (ranges of comparable objects).
Decision gist · record as of 2026-08-14
Yes, if you need straightforward interval arithmetic and can accept an unmaintained package. The library is stable for its core use case and has no known vulnerabilities. However, do not adopt it for new projects requiring long-term support or compatibility with future Python versions—the last commit was 2022-05-05 and no maintenance is expected. Suitable for legacy codebases or internal tools where you control the Python version.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with a pure-Python wheel.
- However, the package is abandoned—last commit was 2022-05-05 and no releases since 2021-07-02.
- While it has 108 repository stars, the lack of maintenance means bug fixes and compatibility updates are unlikely.
License · maintenance · safety
BSD (permissive) — BSD license is permissive, allowing commercial and private use with minimal restrictions. You may use, modify, and distribute the package freely provided you include the license notice.
last release 2021-07-02 (1869 days) · last repo commit 2022-05-05 · 108 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 245,244 downloads/mo, #8,737 on PyPI
Alternatives
Verify before relying
pip install intervals
from intervals import IntInterval
interval = IntInterval.closed(1, 5)
print(interval.lower, interval.upper)- Whether the package works reliably with Python versions released after 2022 (last commit date).
- Current compatibility with modern versions of the infinity dependency.
What it is and what it does
intervals is a Python library for creating and working with mathematical intervals—ranges defined by lower and upper bounds with configurable inclusion rules. It supports multiple interval types (IntInterval, FloatInterval, DateInterval, DateTimeInterval, etc.) and allows you to define open intervals (excluding endpoints), closed intervals (including both), or half-open variants. You can initialize intervals via factory methods like closed(), open_closed(), or from string representations like '[1, 5]' or '1 - 5'.
The library provides properties to query interval characteristics (length, radius, centre, whether it's degenerate or empty) and supports standard operations like containment checks and comparisons. Its single runtime dependency is infinity, a lightweight package for representing infinite bounds. The package is pure Python and installs with low friction, but has been abandoned since mid-2022, so it receives no maintenance or updates.
Use it for
- Represent and validate time ranges or scheduling windows to check if a date falls within a booking or availability interval.
- Define numeric ranges for data validation, filtering, or binning—for example, categorizing sensor readings into interval buckets.
- Build interval trees or perform range queries to test membership, overlap, or containment of comparable values.
- Parse and manipulate human-readable interval notation from configuration files or user input using from_string.
- Model mathematical or scientific computations involving bounded domains, such as function domains or parameter ranges.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need straightforward interval arithmetic and can accept an unmaintained package.
The library is stable for its core use case and has no known vulnerabilities. However, do not adopt it for new projects requiring long-term support or compatibility with future Python versions—the last commit was 2022-05-05 and no maintenance is expected. Suitable for legacy codebases or internal tools where you control the Python version.
Install
intervals on PyPI
Before you install
Low install friction with a pure-Python wheel. However, the package is abandoned—last commit was 2022-05-05 and no releases since 2021-07-02. While it has 108 repository stars, the lack of maintenance means bug fixes and compatibility updates are unlikely.
License in practice
BSD license is permissive, allowing commercial and private use with minimal restrictions. You may use, modify, and distribute the package freely provided you include the license notice.
Quickstart
pip install intervals
from intervals import IntInterval
interval = IntInterval.closed(1, 5)
print(interval.lower, interval.upper)Verify before relying
- Whether the package works reliably with Python versions released after 2022 (last commit date).
- Current compatibility with modern versions of the infinity dependency.
Package facts
| License | BSD permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageinfinity |
| Maintenance | Abandoned 1,869 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 245,244 / month, #8,737 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Environment :: Web EnvironmentIntended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Internet :: WWW/HTTP :: Dynamic ContentTopic :: Software Development :: Libraries :: Python Modules |
Evidence: intervals-0.9.2-py3-none-any.whl
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See also infinity · portion · python-ranges · intervaltree · igwn-segments · ncls · pyranges · pyiotools · MAPIE · DateTimeRange