---
id: neotime
version: "1.7.4"
license: Apache License, Version 2.0
license_treatment: permissive
maintenance: abandoned
---

# neotime — Nanosecond resolution temporal types

License: permissive · Maintenance: abandoned · Downloads: 269.7K/mo

## What it is and what it does

Neotime is a temporal data library that extends the standard library's datetime module with nanosecond-precision classes for Duration, Date, Time, and DateTime. It draws design inspiration from ISO-8601 and aims to provide a similar API surface to datetime but with finer time resolution.

The package is abandoned as of 2018-12-04 with no recent maintenance or updates. It was built for Python 2.7 and 3.4–3.7, making it unsuitable for modern Python environments without verification of compatibility. No runtime dependencies are required, but the high install friction and lack of active support mean it is a risky choice for new projects.

Use it for:

- Working with temporal data in legacy systems or projects locked to Python 2.7 or early Python 3 versions.
- Prototyping or learning about nanosecond-precision time handling in a datetime-like API.
- Historical code maintenance where neotime is already a dependency and cannot be easily replaced.
- Applications requiring ISO-8601 inspired temporal type design.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Neotime provides temporal data classes (Duration, Date, Time, DateTime) with nanosecond precision, similar to the standard library's datetime module but with finer granularity.

No. The package is abandoned (last release 2018-12-04) and targets obsolete Python versions (2.7, 3.4–3.7). Modern Python users should use the standard library's datetime module or actively maintained alternatives. Install only if you are maintaining legacy code that already depends on it.

## Install

pip install neotime
uv add neotime
poetry add neotime

## Installing neotime

Before you install: Installation friction is high; the package is abandoned (last release 2018-12-04, no activity for 2810 days). It targets Python 2.7 and 3.4–3.7, making it incompatible with modern Python versions. No active maintenance or support.

License in practice: Licensed under Apache License, Version 2.0 (permissive), so commercial and private use are unrestricted, but the abandoned status means no ongoing legal or security updates.

Quickstart:

pip install --pre neotime

from neotime import DateTime, Duration
dt = DateTime(2018, 12, 4, 12, 0, 0, 0)
duration = Duration(days=1)

Package targets Python 2.7 and 3.4–3.7; compatibility with modern Python versions is unverified. No active maintenance.

Verify before relying:

- Whether neotime actually works on Python versions beyond 3.7 despite classifier claims.
- Whether nanosecond precision is truly achieved or if it is a design goal not yet implemented.
- Real-world performance characteristics compared to datetime for high-frequency temporal operations.

## Package facts

- License: Apache License, Version 2.0 (permissive)
- Python support: unspecified
- Install friction: high
- Maintenance: abandoned
- Downloads: 269.7K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

nanosecond precision datetime, temporal data types, high-resolution time handling, datetime alternative, ISO-8601 temporal classes, abandoned, legacy-python

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