gnuplot
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Statistics-driven benchmarking library for Rust
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Nov 7, 2020 - Rust
ogpf is Object based interface to GnuPlot from Fortran 2003, 2008 and later
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Sep 8, 2020 - Fortran
Export Data from Prometheus to csv, gnuplot & matplotlib
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Jan 9, 2020 - Go
Render and include figures in Pandoc documents using your plotting toolkit of choice
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Nov 9, 2020 - Haskell
Realtime benchmarks for PHP code
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Oct 21, 2019 - PHP
Generate graphs with gnuplot or matplotlib (Python) from sar data
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Jun 3, 2019 - Python
GNUPlot Examples
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Mar 20, 2020 - Gnuplot
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Dec 10, 2016 - Ruby
A simple C++17 lib that helps you to quickly plot your data with GnuPlot
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Oct 20, 2020 - C++
Explore COVID-19 data in Common Lisp
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Nov 4, 2020 - Common Lisp
An emacs major mode for editing gnuplot scripts.
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Sep 27, 2018 - Emacs Lisp
Using deep learning to detect Atrial fibrillation
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May 20, 2018 - Jupyter Notebook
Fortune's algorithm for Voronoi diagram generating on the plane. Intended for runtime speed and careful handling of corner cases.
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Sep 17, 2019 - C++
Scripts for generating project statistics and for plotting them as graphs.
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Nov 11, 2020 - Perl
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Jul 28, 2019 - Shell
COVID-19 Coronavirus Disease Spread Time Series Analysis
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Nov 15, 2020 - HTML
Automatically exported from code.google.com/p/gnuplot-cpp
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Sep 2, 2020 - C++
Tool for benchmarking apis. Uses ApacheBench(ab) to generate data and gnuplot for graphing. Adding new features almost daily
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Oct 12, 2020 - Groovy
Script to generate charts of course enrolment numbers
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Apr 26, 2017 - Python
Ledger reporting scripts
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Mar 12, 2018 - Shell
WhatsApp statistics toolkit mirror
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Mar 24, 2019 - Shell
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I'm happy to announce that I'll be writing the second edition of Data Science at the Command Line (O'Reilly, 2014). This issue explains why I think a second edition is needed, lists what changes I plan to make, and presents a tentative outline. Finally, I have a few words about the process and giving feedback.
Why a second edition?
While the command line as a technology and as a way of w