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Dev tools · alternatives · 2026

24 alternatives to Plot directly in your terminal with matplotlib

An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal. - daleroberts/itermplot

Plot directly in your terminal with matplotlib is a developer tool that enables users to create and display matplotlib visualizations directly within their terminal environment. It allows developers to visualize data… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Plot directly in your terminal with matplotlib launched in 2017; newer entries below may have overtaken it.

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    I do lots of data analyses in the command-line and I was missing a simple utility to plot the output of a command (without having to script it). I like very much the Matplotlib API but I found no CLI to pipe data into it. So, I wrote MatplotCLI, a simple CLI that reads data from the stdin and allows to easily create interactive plots from the command-line. Have a look at the README for examples and recipes. Let me know what you think, thanks! Some examples: $ plt "hist(x,30)" < sample.json $ cat sample.json | plt --no-show "hist(x,30); savefig('myimage.png')" $ plt --no-input " x =…

    2022 · github.com · its alternatives →

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    Publication-quality data representation library based on Matplotlib. - alopezrivera/mpl_plotter

    2021 · github.com · its alternatives →

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    GNUplot with sixel support. Contribute to csdvrx/sixel-gnuplot development by creating an account on GitHub.

    2019 · github.com · its alternatives →

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    3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL - widgetti/ipyvolume

    2017 · github.com · its alternatives →

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    PlotAI - Your Ultimate Plotting Assistant! 📊🤖 Use ChatGPT-3.5 to create plots in Python and Matplotlib directly in your Python script or notebook. - GitHub - mljar/plotai: PlotAI - Your Ultimate Plotting Assistant! 📊🤖 Use ChatGPT-3.5 to create plots in Python and Matplotlib directly in your Pyth

    2023 · github.com · its alternatives →

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    Unify data analysis and plotting in one powerful workspace

    Jul 2026 · autoplot.ai · its alternatives →

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    A succinct wrapper for matplotlib. Contribute to Ultraplot/UltraPlot development by creating an account on GitHub.

    2025 · github.com · its alternatives →

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    Hey HN, Scripton (https:&#x2F;&#x2F;scripton.dev) is a Python IDE built for fast, interactive visualizations and exploratory programming — without the constraints of notebooks. Why another Python IDE? Scripton hopes to fill a gap in the Python development ecosystem by being an IDE that: 1. Focuses on easy, fast, and interactive visualizations (and exposes rich JS plotting libraries like Observable Plot and Plotly directly to Python) 2. Provides a tightly integrated REPL for rapid prototyping and exploration 3. Is script-centric (as opposed to, say, notebook-style) A historical detour for why…

    2025 · scripton.dev · its alternatives →

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    Hi all! A little background: I've been working on natto.dev, a spatial environment for JavaScript. I'm really excited about new interfaces for code (leveraging metaphors we're good at, spatial reasoning, making state visible, design tools, etc). With all the buzz around PyScript, I discovered Pyodide and got it working inside natto. This Python version is a stripped down version of https:&#x2F;&#x2F;natto.dev (eg interactive outputs, multiplayer) so please check that out if this interests you. I'm excited to share this spatial environment for Python. Imagine Jupyter cells arranged on a 2D…

    2022 · python.natto.dev · its alternatives →

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    An intuitive library to add plotting functionality to scikit-learn objects. - reiinakano/scikit-plot

    2017 · github.com · its alternatives →

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    A small NodeJS plotting library

    2018 · arguiot.github.io · its alternatives →

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    A tool for plotting processes accessing the network - fedeb95/netplot

    2022 · github.com · its alternatives →

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    pypipe is a command-line tool for writing data pipelines in Python. When working with data processing in the terminal, I often find myself wanting to pass the output of commands to Python for further processing. In such cases, one can either write one-liners or create regular Python scripts and connect them through pipes. However, using pypipe makes this process more convenient and efficient.

    2023 · github.com · its alternatives →

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    Easy to use plotting tool for the terminal. Contribute to moshe/tplot development by creating an account on GitHub.

    2017 · github.com · its alternatives →

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    Immediate Mode 3D Plotting. Contribute to brenocq/implot3d development by creating an account on GitHub.

    2024 · github.com · its alternatives →

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    The most simple neural network plotter

    2018 · github.com · its alternatives →

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    Plottr▲124

    Visually plot out your novel 📚✍️

    2018 · plotmynovel.com · its alternatives →

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    A simple Python debugger and profiler that generates animated visualizations of program flow, useful for algorithm learning. - CCExtractor/vardbg

    2020 · github.com · its alternatives →

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    Dear HN, I am Riwaj, the cofounder of dstack.ai (https:&#x2F;&#x2F;github.com&#x2F;dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…

    2020 · its alternatives →

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    pyCirclize is a circular visualization python package implemented based on matplotlib. This package was developed for the purpose of easily and beautifully plotting circular figure such as Circos Plot and Chord Diagram in Python. I'd love to hear your feedback. Document: https:&#x2F;&#x2F;moshi4.github.io&#x2F;pyCirclize&#x2F;

    2023 · github.com · its alternatives →

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