Dev tools · alternatives · 2026
24 alternatives to A fast ISO8601 date-time parser for Python
ciso8601 is a Python library for parsing ISO8601 date-time strings. It is designed for developers who need faster date-time conversion in their applications. The tool was created to address performance bottlenecks in… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. A fast ISO8601 date-time parser for Python launched in 2014; newer entries below may have overtaken it.
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An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing - zanellia/prometeo
2021 · github.com · its alternatives →
- 2

A rich set of functions for working with date, time and durations.
2024 · antonz.org · its alternatives →
- 3DO
2014 · duckling-lib.org · its alternatives →
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I recently build a python time-parser that can parse most formats in a single line. Might be useful to some here. (Also happy to hear feedback and feature requests)
2025 · github.com · its alternatives →
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⏰ Day.js 2kB immutable date-time library alternative to Moment.js with the same modern API - iamkun/dayjs
2018 · github.com · its alternatives →
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CLI tool to convert a natural language date/time string to UTC - ad-si/tu
2024 · github.com · its alternatives →
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- 10AL
2013 · np-lang.org · its alternatives →
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Durat.io▲1192015 · durat.io · its alternatives →
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Live UTC clock with one-click copy for ISO 8601, RFC 3339, RFC 2822 and Unix time, a device clock-skew check, and get-the-time-now code for 14 languages. Dark, fast, no signup.
Aug 2026 · utctime.app · its alternatives →
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Timeflake is a 128-bit, roughly-ordered, URL-safe UUID. - anthonynsimon/timeflake
2021 · github.com · its alternatives →
- 14

Rapid fuzzy string matching in Python using various string metrics - rapidfuzz/RapidFuzz
2020 · github.com · its alternatives →
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Hello and happy new year! We're excited to introduce the Pyper package for concurrency & parallelism in Python. Pyper is a flexible framework for concurrent / parallel data processing, following the functional paradigm. Source code can be found on [github](https://github.com/pyper-dev/pyper) Key features: Intuitive API: Easy to learn, easy to think about. Implements clean abstractions to seamlessly unify threaded, multiprocessed, and asynchronous work. Functional Paradigm: Python functions are the building blocks of data pipelines. Let's you write clean, reusable…
2025 · github.com · its alternatives →
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SIMD-accelerated UTF-8 validation for Rust. Contribute to rusticstuff/simdutf8 development by creating an account on GitHub.
2021 · github.com · its alternatives →
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Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy - ijl/orjson
2018 · github.com · its alternatives →
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A Python Interpreter written in Rust. Contribute to coolcoder613eb/RustPython development by creating an account on GitHub.
2023 · github.com · its alternatives →
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C parser and interpreter written in Python with automatic ctypes interface generation - PyCParser/README.md at master · albertz/PyCParser
2019 · github.com · its alternatives →
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Robyn is a Super Fast Async Python Web Framework with a Rust runtime. - sparckles/Robyn
2023 · github.com · its alternatives →
- 22

Simple tool to share your availability as plain text. Select time slots, convert timezones, copy and send. No calendar links needed.
2020 · whattime.today · its alternatives →
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2017 · github.com · its alternatives →
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A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
Also compare
- Prometeo – a Python-to-C transpiler for high-performance computing alternatives
- High-precision date/time in SQLite alternatives
- Duckling – Open-source datetime expression parsing alternatives
- Codate alternatives
- Easy Python Time Parsing alternatives
- Fast 2kB date library alternative to Moment.js with the same API alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →