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+
+
+
+ 20241122171524-c74338eb10788a08e60ecf3c22eb8c38c8e999ea
+ 20241122171524
+
+ JOSS Admin
+ admin@theoj.org
+
+ The Open Journal
+
+
+
+
+ Journal of Open Source Software
+ JOSS
+ 2475-9066
+
+ 10.21105/joss
+ https://joss.theoj.org
+
+
+
+
+ 11
+ 2024
+
+
+ 9
+
+ 103
+
+
+
+ itrm: Interactive Terminal Utilities
+
+
+
+ David
+ Woodburn
+
+ Air Force Institute of Technology, Dayton, Ohio, United States of America
+
+ https://orcid.org/0009-0000-5935-2850
+
+
+
+ 11
+ 22
+ 2024
+
+
+ 7417
+
+
+ 10.21105/joss.07417
+
+
+ http://creativecommons.org/licenses/by/4.0/
+ http://creativecommons.org/licenses/by/4.0/
+ http://creativecommons.org/licenses/by/4.0/
+
+
+
+ Software archive
+ 10.6084/m9.figshare.27637752
+
+
+ GitHub review issue
+ https://github.com/openjournals/joss-reviews/issues/7417
+
+
+
+ 10.21105/joss.07417
+ https://joss.theoj.org/papers/10.21105/joss.07417
+
+
+ https://joss.theoj.org/papers/10.21105/joss.07417.pdf
+
+
+
+
+
+ Terminalplot
+ Kressibucher
+ GitHub repository
+ 2023
+ Kressibucher, M. (2023).
+Terminalplot. In GitHub repository. GitHub.
+https://github.com/kressi/terminalplot/
+
+
+ Bashplotlib
+ Lamp
+ GitHub repository
+ 2019
+ Lamp, G. (2019). Bashplotlib. In
+GitHub repository. GitHub.
+https://github.com/glamp/bashplotlib/tree/master
+
+
+ Pysparklines
+ Whaley
+ GitHub repository
+ 2021
+ Whaley, B. (2021). Pysparklines. In
+GitHub repository. GitHub.
+https://github.com/RedKrieg/pysparklines
+
+
+ Termgraph
+ Kazmierczak
+ GitHub repository
+ 2021
+ Kazmierczak, M. (2021). Termgraph. In
+GitHub repository. GitHub.
+https://github.com/mkaz/termgraph
+
+
+ Termplot
+ Powell
+ GitHub repository
+ 2018
+ Powell, W. (2018). Termplot. In
+GitHub repository. GitHub.
+https://github.com/iswdp/termplot
+
+
+ Termplotlib
+ Schlömer
+ GitHub repository
+ 2021
+ Schlömer, N. (2021). Termplotlib. In
+GitHub repository. GitHub.
+https://github.com/nschloe/termplotlib
+
+
+ Plotille
+ Ippen
+ GitHub repository
+ 2022
+ Ippen, T. (2022). Plotille. In GitHub
+repository. GitHub.
+https://github.com/tammoippen/plotille
+
+
+ Drawille
+ Tauber
+ GitHub repository
+ 2020
+ Tauber, A. (2020). Drawille. In
+GitHub repository. GitHub.
+https://github.com/asciimoo/drawille
+
+
+ Asciichartpy
+ Kroitor
+ GitHub repository
+ 2020
+ Kroitor, I. (2020). Asciichartpy. In
+GitHub repository. GitHub.
+https://github.com/kroitor/asciichart
+
+
+ Uniplot
+ Stetter
+ GitHub repository
+ 2024
+ Stetter, O. (2024). Uniplot. In
+GitHub repository. GitHub.
+https://github.com/olavolav/uniplot
+
+
+ Plotext
+ Piccolomo
+ GitHub repository
+ 2022
+ Piccolomo, S. (2022). Plotext. In
+GitHub repository. GitHub.
+https://github.com/piccolomo/plotext
+
+
+ Pipeplot
+ Chistyakov
+ GitHub repository
+ 2020
+ Chistyakov, I. (2020). Pipeplot. In
+GitHub repository. GitHub.
+https://github.com/MyGodIsHe/pipeplot
+
+
+ Gnuplot
+ Williams
+ 2024
+ Williams, T., Kelley, C., Lang, R.,
+Kotz, D., Campbell, J., Elber, G., Woo, A., & others. (2024).
+Gnuplot. http://www.gnuplot.info/
+
+
+ Ttyplot
+ Sawicki
+ GitHub repository
+ 2024
+ Sawicki, A. (2024). Ttyplot. In
+GitHub repository. GitHub.
+https://github.com/tenox7/ttyplot
+
+
+ YouPlot
+ Tools
+ GitHub repository
+ 2024
+ Tools, R. D. (2024). YouPlot. In
+GitHub repository. GitHub.
+https://github.com/red-data-tools/YouPlot
+
+
+ Termeter
+ Sasaki
+ GitHub repository
+ 2015
+ Sasaki, A. (2015). Termeter. In
+GitHub repository. GitHub.
+https://github.com/atsaki/termeter
+
+
+
+
+
+
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+
+
+
+
+
+
+
+Journal of Open Source Software
+JOSS
+
+2475-9066
+
+Open Journals
+
+
+
+7417
+10.21105/joss.07417
+
+itrm: Interactive Terminal Utilities
+
+
+
+https://orcid.org/0009-0000-5935-2850
+
+Woodburn
+David
+
+
+
+
+
+Air Force Institute of Technology, Dayton, Ohio, United
+States of America
+
+
+
+
+2
+10
+2024
+
+9
+103
+7417
+
+Authors of papers retain copyright and release the
+work under a Creative Commons Attribution 4.0 International License (CC
+BY 4.0)
+2024
+The article authors
+
+Authors of papers retain copyright and release the work under
+a Creative Commons Attribution 4.0 International License (CC BY
+4.0)
+
+
+
+Python
+plotting
+analysis
+interactive
+
+
+
+
+
+ Summary
+
The itrm library provides a terminal-based
+ solution for interactively analyzing data. While it does have
+ facilities for progress bars, heat maps, bar charts, and tables, its
+ primary feature is interactive data plots. It will render as a dot
+ matrix of Unicode Braille characters (or ASCII text if needed) your
+ (x,y) data. Using a
+ vertical cursor, you can inspect data points, zoom in on a region, or
+ scrub through the data. With simple 2 to 3-character keybindings, you
+ can run a variety of transforms on the data: absolute value,
+ autocorrelation, Allan variance, differentiation, integration, Fourier
+ transform, smoothing, detrending, trimming, etc. You can leave behind
+ a ghost of the cursor and then analyze the data between the ghost
+ position and current position of the cursor. It can plot multiple data
+ sets simultaneously with automatic color differentiation, and it
+ allows the user to focus on just one data set at a time, even hiding
+ all others if desired.
+
This library is written in pure Python, and aside from some builtin
+ modules has only NumPy as a dependency. It is optimized to run
+ smoothly on data sets of up to at least a million points. And, it has
+ been built to run on all platforms (Linux, macOS, Windows) and any
+ fully-implemented terminal (i.e., not Jupyter notebooks). It will even
+ run on Windows’ Console and VS Code’s builtin terminal.
+
This library can be installed with
+ pip install itrm
+ and apart from builtin libraries has only Numpy as a dependency.
+ Examples using this library can be found
+ here.
+
+
+ Statement of need
+
Many developers, engineers, and scientists spend significant time
+ working within terminal environments, where switching contexts to
+ generate visual plots can be both time-consuming and annoying.
+ Traditional plotting tools, while effective for producing polished
+ final figures, are often insufficient for quickly inspecting and
+ understanding data. Curious to see what the frequency content of the
+ data is? Want to filter out the high-frequency noise so you can see a
+ pattern more clearly? Interested in the derivative of the data? All
+ these will typically require you go back to your source and write
+ several lines of code before you can see the results. This challenge
+ is amplified when working remotely with a server, where visualizing
+ data often requires saving it to a file, transferring it to a local
+ machine, and writing scripts to generate plots—a tedious and
+ repetitive process. A more efficient solution is needed to streamline
+ data visualization and interaction directly within the terminal.
+
There are already several terminal-based plotting tools available,
+ several of them written for Python. The following table summarizes a
+ non-exhaustive list of these tools. The
+ Line plots column refers to whether the library
+ provides for plots of (x,y) data. The Y-axis
+ column refers to whether the y value can be
+ read off by the user. The Resolution column
+ refers to the character set used to print to the terminal: Braille (4
+ by 2 matrix of dots) would be high, half blocks
+ (2 by 1 Unicode drawing characters) would be half, and asterisks
+ (*) would be low.
+
+
+
+
+
Name
+
Author
+
Language
+
Line plots
+
Y-axis
+
Resolution
+
+
+
+
+
asciichartpy
+
Kroitor
+ (2020)
+
Python
+
yes
+
yes
+
low
+
+
+
bashplotlib
+
Lamp
+ (2019)
+
Python
+
yes
+
no
+
low
+
+
+
drawille
+
Tauber
+ (2020)
+
Python
+
no
+
no
+
high
+
+
+
pipeplot
+
Chistyakov
+ (2020)
+
Python
+
no
+
no
+
low
+
+
+
plotext
+
Piccolomo
+ (2022)
+
Python
+
yes
+
limited
+
high
+
+
+
plotille
+
Ippen
+ (2022)
+
Python
+
yes
+
limited
+
high
+
+
+
pysparklines
+
Whaley
+ (2021)
+
Python
+
no
+
no
+
high
+
+
+
termgraph
+
Kazmierczak
+ (2021)
+
Python
+
no
+
yes
+
high
+
+
+
terminalplot
+
Kressibucher
+ (2023)
+
Python
+
yes
+
no
+
low
+
+
+
termplot
+
Powell
+ (2018)
+
Python
+
no
+
no
+
low
+
+
+
termplotlib
+
Schlömer
+ (2021)
+
Python
+
yes
+
limited
+
low
+
+
+
uniplot
+
Stetter
+ (2024)
+
Python
+
yes
+
limited
+
half
+
+
+
gnuplot
+
Williams et al.
+ (2024)
+
C
+
yes
+
limited
+
low
+
+
+
termeter
+
Sasaki
+ (2015)
+
Go
+
yes
+
limited
+
high
+
+
+
ttyplot
+
Sawicki
+ (2024)
+
C
+
no
+
limited
+
low
+
+
+
youplot
+
Tools
+ (2024)
+
Ruby
+
yes
+
limited
+
high
+
+
+
+
+
None of these tools is interactive in the sense of providing data
+ point inspection, view zooming and panning, point-to-point
+ comparisons, etc. And, certainly none of them provide the ability to
+ process the data with common transforms on the fly. Only a few of them
+ provide sub-character resolution through the use of Braille
+ characters.