tup
feedgnuplot
tup | feedgnuplot | |
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23 | 16 | |
1,142 | 698 | |
- | - | |
7.7 | 5.1 | |
about 1 month ago | 3 months ago | |
C | Perl | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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tup
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Show HN: Hancho – A simple and pleasant build system in ~500 lines of Python
Whenever looking at one these, I think back to the obscure but interesting "tup":
“How is it so awesome? In a typical build system, the dependency arrows go down. Although this is the way they would naturally go due to gravity, it is unfortunately also where the enemy's gate is. This makes it very inefficient and unfriendly. In tup, the arrows go up.”
https://gittup.org/tup/
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Mazzle – A Pipelines as Code Tool
Once upon a time, you could roll your own of this using `tup` which might have my favorite "how it works" in the readme:
How is it so awesome?
In a typical build system, the dependency arrows go down. Although this is the way they would naturally go due to gravity, it is unfortunately also where the enemy's gate is. This makes it very inefficient and unfriendly. In tup, the arrows go up. This is obviously true because it rhymes. See how the dependencies differ in make and tup:
[ Make vs. Tup ]
See the difference? The arrows go up. This makes it very fast.
https://gittup.org/tup/
Also has a whitepaper: https://gittup.org/tup/build_system_rules_and_algorithms.pdf
- Using LD_PRELOAD to cheat, inject features and investigate programs
- Mk: A Successor to Make [pdf]
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What should I use to take notes in college?
Ten years ago, I used reStructuredText and its support for LaTeX math and syntax highlighting. I used tup (tup monitor -a -f) to take care of running rst2html on save.
- Knit: Making a Better Make
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Buck2: Our open source build system
I might be showing my ignorance here, but this just sounds like Tup? https://gittup.org/tup/
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Small Project Build Systems (2021)
I agree. While I like the idea of tup (https://gittup.org/tup/ -- the first "forward" build system I remember hearing of), writing a makefile is easy enough that thinking about the problem upside-down doesn't offer a compelling reason to switch.
Ptrace is one option for tracing dependencies, but it comes with a performance hit. A low-level alternative would be ftrace (https://lwn.net/Articles/608497/) or dtrace (https://en.wikipedia.org/wiki/DTrace).
Tup uses LD_PRELOAD (or equivalent) to intercept calls to C file i/o functions. On OSX it looks DYLD_INSERT_LIBRARIES would be the equivalent.
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Why Use Make
* order-only prerequisites - X must happen before Y if it's happening but a change in X doesn't trigger Y
This is just a small selection and there are missing things (like how to handle rules that affect multiple targets).
It's all horrible and complex because like a lot of languages there's a manual listing the features but not much in the way of motivations for how or why you'd use them so you have to find that out by painful experience.
It's also very difficult to address the warts and problems in (GNU) make because it's so critical to the build systems of so many packages that any breaking change could end up being a disaster for 1000s of packages used in your favorite linux distribution or even bits of Android and so on.
So it's in a very constrained situation BECAUSE of it's "popularity".
Make is also not a good way to logically describe your build/work - something like Meson would be better - where you can describe on the one hand what a "program" model was as a kind of class or interface and on the other an implementation of the many nasty operating system specific details of how to build an item of that class or type.
Make has so many complex possible ways of operating (sometimes not all needed) that it can be hard to think about.
The things that Make can do end up slowing it down as a parser such that for large builds the time to parse the makefile becomes significant.
Make uses a dependency tree - when builds get large one starts to want an Inverted Dependency Tree. i.e. instead of working out what the aim of the build is and therefore what subcomponents need to be checked for changes we start with what changed and that gives us a list of actions that have to be taken. This sidesteps parsing of a huge makefile with a lot of build information in it that is mostly not relevant at all to the things that have changed. TUP is the first tool I know about that used this approach and having been burned hard by make and ninja when it comes to parsing huge makefiles (ninja is better but still slow) I think TUP's answer is the best https://gittup.org/tup/
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Content based change detection with Make
You might enjoy Tup[1] if you've not checked it out before.
[1]: https://gittup.org/tup/
feedgnuplot
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Brplot – plotting app/lib in C
Thanks for the post. The obvious comparison is feedgnuplot: https://github.com/dkogan/feedgnuplot/
That works similarly in that it plots standard input. The backend is gnuplot, which is a double-edged sword: it's far more full-featured than brplot, but almost certainly is much slower also. I'll try out brplot to see if it would be a good replacement for cases where speed is important. Thanks!
- Feedgnuplot: Visualize the output of ANY commandline tool
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A command line tool that draw plots on the terminal
Oh hey Dima.
Feedgnuplot is really slick.
https://github.com/dkogan/feedgnuplot
It's in the debian repos too.
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D2: A new declarative language to turn text into diagrams
Is there a declarative language or framework to create ad-hoc GUIs that consume structured data from stdin stream and spit-out a GUI?
Like feedgnuplot [1] but not only restricted to graphs.
[1] https://github.com/dkogan/feedgnuplot
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jupyter and vim
I found using shell as an interactive environment to be pretty productive using https://github.com/dkogan/feedgnuplot and https://github.com/dkogan/vnlog. The filesystem becomes your state (instead of in memory state of your Python interpreter) which forces you to write Unix-style tools. Plotting with feedgnuplot spins up an interactive Qt plotter which I often used to explore 3D plots. It's not "inline" and fancy and does take a bit of grokking but I eventually found it more productive than Jupyter, especially as my development moved away from Python.
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termplotlib: Plots in the terminal
One of the tools I absolutely love is feedgnuplot which presents a stdin CLI interface to gnuplot.
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Anyone know of a good Data Visualization Library?
Also, if one doesn't want to learn Gnuplot's DSL try using feedgnuplot which presents a stdin interface for whitespace delimited tabular data.
- Show HN: Simple tool for creating commandline bar charts
- Git 2.33 released with new “merge-ort” merging with 500~9000x speed-up
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Best scientific graphing library?
Write space delimited tabular data (ideally in vnlog format) and plot it using feedgnuplot. Also helps decouple concerns (data generating application focuses on generating data).
What are some alternatives?
please - High-performance extensible build system for reproducible multi-language builds.
implot - Immediate Mode Plotting
Taskfile - Repository for the Taskfile template.
matplotlib-cpp - Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib
magma-nvim - Interact with Jupyter from NeoVim.
ttyplot - a realtime plotting utility for terminal/console with data input from stdin
just - 🤖 Just a command runner
plotext - plotting on terminal
gnumake-windows - Instructions for building gnumake.exe as a native windows application
matplotlib - C++ wrappers around python's matplotlib
doit - task management & automation tool
matplotplusplus - Matplot++: A C++ Graphics Library for Data Visualization 📊🗾