fasttime is a small UTC-focused date/time library for Rust. It is built
around Ben Joffe's constant-time 64-bit days→date algorithm and offers a simple,
no_std-friendly API for calendar math, parsing, and formatting. The crate
only depends on core by default and enables a handful of conveniences (such as
DateTime::now_utc()) when the optional std feature is on.
🐍 Python bindings are now available! See python/README.md for details.
- Works in
no_stdenvironments; opt intostdwhen you need wall-clock time. Date,Time,DateTime,Duration,UtcOffset, andOffsetDateTimetypes with ISO/RFC 3339 styleDisplayimplementations.- Parsing helpers for the common textual formats used in logs and APIs.
- Fixed-offset RFC 3339 timestamps with nanosecond precision.
- Simple arithmetic helpers: add days, add durations, compute differences, and fetch ordinals or weekdays without extra allocations.
- Python 3.10+ bindings via PyO3 with full type hints and ergonomic API.
[dependencies]
fasttime = "0.2"pip install maturin
maturin develop --releaseDisable the default std feature when targeting bare-metal or embedded
environments:
[dependencies]
fasttime = { version = "0.1", default-features = false }use fasttime::{
Date, DateError, DateTime, Duration, OffsetDateTime, Time, UtcOffset,
};
fn main() -> Result<(), DateError> {
// Fetch the current UTC date and time, works only with `std` feature.
// let now = DateTime::now_utc()?;
// println!("Current UTC time: {now}");
// Build calendar dates either from year-month-day or days since the Unix epoch.
let jan_first = Date::from_ymd(2024, 1, 1)?;
let epoch = Date::from_days_since_unix_epoch(0)?;
println!("{jan_first} weekday {}", jan_first.weekday().number_from_monday());
println!("{epoch} ordinal {}", epoch.ordinal());
// Combine dates and times to work with UTC instants.
let dt = DateTime::from_unix_timestamp(1_700_000_000, 123_456_789)?;
let later = dt.add_duration(Duration::seconds(90))?;
println!("Delta: {} ns", later.difference(dt).total_nanos());
// Parse ISO/RFC 3339 style strings and work with fixed offsets.
let parsed_date: Date = "2024-03-15".parse()?;
let parsed_time: Time = "11:22:33.123".parse().unwrap();
let offset = UtcOffset::from_hours_minutes(true, 2, 0).unwrap();
let local = OffsetDateTime::from_local(parsed_date, parsed_time, offset)?;
println!("{local} (offset {})", offset);
Ok(())
}cargo bench --bench unix_timestamp -- --quick runs a quick benchmark comparing fasttime's Unix timestamp conversions to the widely used time crate.
The benchmark covers three operations:
from_unix_timestamp: constructor taking(secs, nanos).to_unix_timestamp: extracting integral seconds.to_unix_timestamp_nanos: extracting nanoseconds asi128.
from_unix_timestamp/fasttime::default-n=1024
time: [6.3651 µs 6.3674 µs 6.3765 µs]
change: [+0.0149% +0.2131% +0.4118%] (p = 0.14 > 0.05)
No change in performance detected.
from_unix_timestamp/time::default-n=1024
time: [8.6900 µs 8.6924 µs 8.7022 µs]
change: [+3.0617% +3.2376% +3.4139%] (p = 0.10 > 0.05)
No change in performance detected.
to_unix_timestamp/fasttime::default-n=1024
time: [1.6843 µs 1.6853 µs 1.6894 µs]
change: [−1.1021% −0.5719% −0.0376%] (p = 0.10 > 0.05)
No change in performance detected.
to_unix_timestamp/time::default-n=1024
time: [1.8566 µs 1.8589 µs 1.8682 µs]
change: [−0.0414% +0.3413% +0.7245%] (p = 0.33 > 0.05)
No change in performance detected.
to_unix_timestamp_nanos/fasttime::default-n=1024
time: [2.0008 µs 2.0063 µs 2.0077 µs]
change: [−0.0852% +0.2399% +0.5661%] (p = 0.33 > 0.05)
No change in performance detected.
to_unix_timestamp_nanos/time::default-n=1024
time: [2.0863 µs 2.0880 µs 2.0946 µs]
change: [+0.4222% +0.7240% +1.0265%] (p = 0.08 > 0.05)
No change in performance detected.
In this sample run, fasttime is consistently faster than time for all three
timestamp operations (about 27% faster for from_unix_timestamp, about 9%
faster for to_unix_timestamp, and about 4% faster for
to_unix_timestamp_nanos), while all comparisons report no statistically
significant regression versus baseline.
- Format and lint the crate with your preferred Rust tooling (
cargo fmt,cargo clippy). - Run the tests with
cargo test.
Licensed under the Apache-2.0