Scientific Software
Updated 10 months ago

tqdm — Peer-reviewed • Rank 27.2 • Science 95%

tqdm: A Fast, Extensible Progress Meter for Python and CLI - Published in JOSS (2019)

Artificial Intelligence and Machine Learning Engineering (40%) Earth and Environmental Sciences (40%)
Scientific Software · Peer-reviewed
Updated 9 months ago

https://github.com/juliageo/cftime.jl • Rank 11.8 • Science 100%

Julia library for decoding time units conforming to the Climate and Forecasting (CF) netCDF conventions.

Updated 10 months ago

chrono • Rank 33.6 • Science 54%

Date and time library for Rust

Updated 10 months ago

arrow • Rank 36.4 • Science 36%

🏹 Better dates & times for Python

Updated 10 months ago

aouthlib • Rank 36.3 • Science 36%

Useful extensions to the standard Python datetime features

Updated 10 months ago

hms • Rank 25.7 • Science 36%

A simple class for storing time-of-day values

Updated 10 months ago

com.bkahlert.kommons:kommons • Rank 9.2 • Science 44%

Kommons is a set of Kotlin Multiplatform Libraries (MPP) to allow the execution of command lines / scripts, to support print debugging and to ease testing.

Updated 10 months ago

measuresuite • Rank 8.4 • Science 44%

This library measures the execution time for code. Can measure asm (with Assemblyline), o, so, bin files. Can check correctness (equality of all functions on output data) and the output is a JSON with robust cycle counts.

Updated 10 months ago

blocklength • Rank 13.4 • Science 39%

R package with a set of functions to select the optimal block-length for a dependent bootstrap (block-bootstrap). Includes the Hall, Horowitz, and Jing (1995) cross-validation method and the Politis and White (2004) Spectral Density Plug-in method.

Updated 10 months ago

https://github.com/biolab/orange3-timeseries • Rank 16.3 • Science 36%

🍊 :chart_with_upwards_trend: Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.

Updated 10 months ago

@stdlib/time-days-in-year • Rank 3.4 • Science 44%

Determine the number of days in a year according to the Gregorian calendar.

Updated 10 months ago

@stdlib/time-hours-in-year • Rank 3.3 • Science 44%

Determine the number of hours in a year according to the Gregorian calendar.

Updated 10 months ago

@stdlib/time-seconds-in-year • Rank 3.0 • Science 44%

Determine the number of seconds in a year according to the Gregorian calendar.

Updated 10 months ago

iter-datespace • Rank 0.7 • Science 44%

Create an iterator which returns evenly spaced dates over a specified interval.

Updated 10 months ago

sixarm_ruby_date_time_random • Rank 0.0 • Science 44%

SixArm.com » Ruby » Date and Time #random methods

Updated 10 months ago

mars_time • Rank 2.2 • Science 36%

A package for converting between Earth times and Mars times

Updated 10 months ago

@stdlib/time-minutes-in-year • Rank 3.4 • Science 26%

Determine the number of minutes in a year according to the Gregorian calendar.

Updated 10 months ago

ora • Rank 9.5 • Science 13%

Standalone time and date implementation for C++ and Python.

Updated 10 months ago

timescale • Science 67%

Python tools for time and astronomical calculations

Updated 10 months ago

time-fit • Science 44%

A compact framework for constructing time-based Just-In-Time Adaptive Interventions (JITAIs) that utilize the time of day and/or Fitbit data for intervention adaptation.

Updated 10 months ago

https://github.com/athenarc/timevizbench • Science 13%

An interactive evaluation platform for scalable time series visualization methods across performance and accuracy dimensions.

Updated 10 months ago

sixarm_ruby_time_terse • Science 44%

SixArm.com → Ruby → Time.terse method for timestamping

Updated 10 months ago

sixarm_ruby_week • Science 44%

SixArm.com » Ruby » Week model based on Ruby Date

Updated 10 months ago

https://github.com/arturbomtempo-dev/process-automation • Science 13%

Project created to automate a company's processes and systems with Python.

Updated 10 months ago

matchtime • Science 26%

An R-Package to perform Time-Dependent Matching for Observational Data in Discrete and Continuous Time