PyRank
  • Insights
  • PyPI
  • GitHub
  • Search
  • Compare
  • Advisories
  • Ecosystem
  • About

Standardization Python Packages

Python packages with the GitHub topic standardization. Sorted by relevance, with stars and monthly downloads.
dropseed
p

P is for project. As in, "How the hell do I work on this project."

12K 19 4
mcs07
molvs

Molecule Validation and Standardization

7K 183 57
RuedigerVoigt
userprovided

A Python package to check input for validity and plausibility. Convert input into standardized formats.

6K 1 0
opencobra
memote

memote – the genome-scale metabolic model test suite

3K 146 33
yutanagano
tidytcells

Standardise TR/MH/IG data

3K 12 3
Emasoft
svg2fbf

SVG Frame-by-Frame Animation Generator svg2fbf - Create SVG animations from a series of SVG frames without the need of javascript or css.

2K 20 4
jcreinhold
intensity-normalization

Normalize MR image intensities in Python

2K 342 57
shuffle
singul

Singul: Connect to your favorite services with a Singul line of code.

784 25 8
draeger-lab
sboannotator

SBOannotator: A Python tool for the automated assignment of Systems Biology Onotology terms

567 8 5
aymgal
coolest

Standard for strong gravitational lensing analyses

513 18 5
ambitus
cbxp

A unified and standardized interface for extracting z/OS control block data.

310 7 2
ambitus
racfu

RACFu (RACF universal) - A unified and standardized interface to RACF callable services.

211 17 2
bnlucas
cacheio

cacheio is a flexible, user-friendly Python caching interface that unifies synchronous and asynchronous caching backends. It provides a consistent API for interacting with proven libraries—cachelib for synchronous caching and aiocache for asynchronous caching—allowing seamless integration of both styles in your applications. With configurable defaults, optional backend installation, and easy-to-use decorators, cacheio simplifies caching logic while minimizing dependencies.

208 0 0
wmo-im
om-api-client

Hydrological Status and Outlook System community

191 0 1
    • Data from PyPI, GitHub, ClickHouse, and BigQuery