kvnkuang / Pbmcapply
Licence: other
Tracking the progress of mc*apply with progress bar.
Stars: ✭ 25
Programming Languages
r
7636 projects
Projects that are alternatives of or similar to Pbmcapply
Python Progressbar
Progressbar 2 - A progress bar for Python 2 and Python 3 - "pip install progressbar2"
Stars: ✭ 682 (+2628%)
Mutual labels: progress-bar
React Redux Loading Bar
Loading Bar (aka Progress Bar) for Redux and React
Stars: ✭ 894 (+3476%)
Mutual labels: progress-bar
Buttonprogressbar
A Download Button ProgressBar, inspiration from Dribbble
Stars: ✭ 496 (+1884%)
Mutual labels: progress-bar
Ep
enhance your HTML5 progress bars with minimal effort!
Stars: ✭ 648 (+2492%)
Mutual labels: progress-bar
Future
🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone
Stars: ✭ 735 (+2840%)
Mutual labels: parallelization
Avatarview
A circular Image View with a lot of perks. Including progress animation and highlight state with borders and gradient color.
Stars: ✭ 429 (+1616%)
Mutual labels: progress-bar
Circular Music Progressbar
Beautiful Circular Progress Bar with album art for android
Stars: ✭ 813 (+3152%)
Mutual labels: progress-bar
Ngx Loading Bar
Automatic page loading / progress bar for Angular
Stars: ✭ 633 (+2432%)
Mutual labels: progress-bar
Node.cli Progress
⌛️ easy to use progress-bar for command-line/terminal applications
Stars: ✭ 466 (+1764%)
Mutual labels: progress-bar
Gush
Fast and distributed workflow runner using ActiveJob and Redis
Stars: ✭ 894 (+3476%)
Mutual labels: parallelization
Sequence Layout
A vertical sequence UI component for Android
Stars: ✭ 444 (+1676%)
Mutual labels: progress-bar
Rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
Stars: ✭ 31,664 (+126556%)
Mutual labels: progress-bar
Vue Step Progress
A simple Vue component that displays a Progress Bar with labels for each step
Stars: ✭ 26 (+4%)
Mutual labels: progress-bar
pbmcapply: tracking the progress of mc*apply in R.
A package helps you track and visualize the progress of parallel version of vectorized R functions (mc*apply).
Please check this blog article for an comparasion between available methods to track progress in R.
Notice: Parallelization (mc.core > 1) works on *nix (Linux, Unix such as macOS) only due to the lack of fork() functionality, which is essential for mcapply, on Windows.
Installation
Stable release on CRAN
Version:
Package page: https://cran.r-project.org/web/packages/pbmcapply
Install pbmcapply by pasting this command in your R console:
install.packages('pbmcapply')
Development release on Github
Version: 
Project page: https://github.com/kvnkuang/pbmcapply
Build pbmcapply by pasting these commands in your R console:
library(devtools)
install_github("kvnkuang/pbmcapply", ref = "dev")
Contributors
Many thanks to all contributors for their time and effort to make this project better.
- Quyu Kong (@qykong)
- Francesco Napolitano (@franapoli)
- Thierry Gosselin (@thierrygosselin)
- aitap (@aitap)
- Gergely Daróczi (daroczig)
License
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].