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neotime

Nanosecond resolution temporal types

SkipPyPI LibrariesReleased Dec 2018269.7K downloads / moApache License, Version 2.0Source build

Decision gist · record as of 2026-08-14

sdist only — neotime-1.7.4.tar.gz · builds from source
v1.7.4 · released 2018-12-04

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.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Package targets Python 2.7 and 3.4–3.7; compatibility with modern Python versions is unverified.
  • No active maintenance.
  • Installation friction is high; the package is abandoned (last release 2018-12-04, no activity for 2810 days).

License · maintenance · safety

Apache License, Version 2.0 (permissive) — 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.

last release 2018-12-04 (2810 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 269,708 downloads/mo, #8,251 on PyPI

Verify before relying

pip install --pre neotime

from neotime import DateTime, Duration
dt = DateTime(2018, 12, 4, 12, 0, 0, 0)
duration = Duration(days=1)
  • 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.
Same gist for agents: .md · .json

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 on this page. Verify before relying on it.

Skip

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

neotime on PyPI

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.

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

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)

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

LicenseApache License, Version 2.0 permissive
Python supportNot specified
Install frictionHigh. Source build required
Runtime dependenciesNone
MaintenanceAbandoned 2,810 days since the last release
First released
Downloads269,708 / month, #8,251 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 2.7Programming Language :: Python :: 3.4Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Topic :: Software Development :: Libraries

Evidence: neotime-1.7.4.tar.gz

Tags

Capabilities
nanosecond precision datetimetemporal data typeshigh-resolution time handlingdatetime alternativeISO-8601 temporal classes
Topics
abandonedlegacy-python

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See also nanotime · hightime · isodate · aniso8601 · durationpy · cftime · isoduration · whenever · pytimeparse