nanotime
nanotime python implementation
Decision gist · record as of 2026-08-14
No. The package is abandoned (last release 2011-09-22, no commits since 2019-07-25) with unverified Python compatibility, high install friction, and no active maintenance. Unless you have a specific legacy integration requirement, consider alternatives that are actively maintained.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Package is abandoned with no Python version specification; compatibility with modern Python versions is unverified.
- High install friction: the package has been abandoned since 2011 with no updates in over 5440 days, and the source distribution suggests potential build or compatibility issues.
- Not actively maintained.
License · maintenance · safety
MIT License (permissive) — MIT License permits commercial and private use with minimal restrictions, though the abandoned status means no ongoing legal or security review.
last release 2011-09-22 (5440 days) · last repo commit 2019-07-25 · 53 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 231,261 downloads/mo, #9,090 on PyPI
Alternatives
Verify before relying
pip install nanotime
import nanotime
t = nanotime.nanotime()
print(t) # nanoseconds since UNIX epoch- Whether this package works with current Python versions
- Whether the C extension builds successfully on modern systems
- Current test coverage and whether the implementation handles edge cases correctly
- Whether time-ns() or other standard library alternatives are preferable for modern use
What it is and what it does
Nanotime is a Python implementation of a nanosecond-precision time type that represents time as a single 64-bit integer counting nanoseconds since the UNIX epoch. Unlike time types that separate seconds and fractional components, nanotime trades human readability for speed and simplicity—making it suitable for scenarios where you need to compare, add, or subtract many timestamps quickly using integer arithmetic rather than complex time manipulation.
The package was designed for use cases like entry bookkeeping and packet timestamping where nanosecond precision matters but you want fast integer operations. It has no runtime dependencies and is available under the MIT License, but has been abandoned since 2011 with no active maintenance or updates.
Use it for
- Timestamping network packets or log entries where nanosecond precision and fast integer comparison are needed
- Timing-sensitive applications requiring sub-second resolution in a compact 64-bit format
- Benchmarking and performance measurement where you need to store and compare many precise timestamps efficiently
- Portable serialization of timestamps across systems using a single 64-bit integer
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned (last release 2011-09-22, no commits since 2019-07-25) with unverified Python compatibility, high install friction, and no active maintenance. Unless you have a specific legacy integration requirement, consider alternatives that are actively maintained.
Install
nanotime on PyPI
Before you install
High install friction: the package has been abandoned since 2011 with no updates in over 5440 days, and the source distribution suggests potential build or compatibility issues. Not actively maintained.
Package is abandoned with no Python version specification; compatibility with modern Python versions is unverified.
License in practice
MIT License permits commercial and private use with minimal restrictions, though the abandoned status means no ongoing legal or security review.
Quickstart
pip install nanotime
import nanotime
t = nanotime.nanotime()
print(t) # nanoseconds since UNIX epoch
Verify before relying
- Whether this package works with current Python versions
- Whether the C extension builds successfully on modern systems
- Current test coverage and whether the implementation handles edge cases correctly
- Whether time-ns() or other standard library alternatives are preferable for modern use
Package facts
| License | MIT License permissive |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Abandoned 5,440 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 231,261 / month, #9,090 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: nanotime-0.5.2.tar.gz
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 › “nanosecond precision timestamp”
- nanotimeNanotime provides a 64-bit UNIX timestamp type with nanosecond…
- hightimeHightime provides drop-in replacements for Python's datetime and…
- aristaprotoGenerates Python gRPC stubs and message classes from Protocol Buffer…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also hightime · neotime · strict-rfc3339 · win32-setctime · uuid6 · whisper · monotonic · win-precise-time · ago · durationpy