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fastapprox

v0.3.1 Growing

Fast approximate versions of certain functions that arise in machine learning

MIT Edition 2021
#math#machine-learning#approximation

Quick Verdict

  • โœ•Not updated for 2+ years
  • !Pre-1.0: API may have breaking changes
  • โœ“Tiny footprint (5KB, 0 deps)
  • โœ“Permissive license (MIT)

Security

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Downloads
71.4K
Dependents
22
Releases
4
Size
5KB

Deep Insights

๐Ÿ“ˆ
Strong growth momentum

3.2K downloads in the last 30 days (105/day), up 35% from the previous period.

๐Ÿ”ฌ
Pre-1.0 for over a year

Despite being 8+ years old, fastapprox hasn't reached 1.0 yet. Expect potential API changes between versions.

๐Ÿชถ
Zero dependencies

fastapprox has no external dependencies โ€” minimal supply chain risk and fast compile times.

๐Ÿ“
Compact crate

At 5KB, fastapprox is lightweight. Small crate size correlates with focused, well-scoped functionality.

๐ŸŒŸ
Used by top crates

Notable dependents include knyst, deki_core, euphony-dsp, wright_omega, epanet-rs. When high-quality crates choose fastapprox, it's a strong quality signal.

Health Breakdown

Maintenance 2/25

Recency, release consistency, active ratio

Quality 16/25

Yanked ratio, deps, size, maturity, features

Community 7/20

Reverse deps, ownership, ecosystem

Popularity 6/15

Downloads, momentum, growth trend

Documentation 10/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
80/day avg+68%
05010015020025012/291/162/32/213/113/28

Top Dependents

Version Adoption

v0.3.1
64%
v0.3.0
31%
v0.1.0
3%
v0.2.0
2%

Release Timeline

4 releasessince 2018
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README

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Maintainers

Dependencies
0
direct dependencies
Dependents
22
crates depend on fastapprox

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