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SpeedCrunch VS Matplotlib

Compare SpeedCrunch VS Matplotlib and see what are their differences

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SpeedCrunch logo SpeedCrunch

SpeedCrunch. SpeedCrunch is a high-precision scientific calculator featuring a fast, keyboard-driven user interface. It is free and open-source software, licensed under the GPL. Download Documentation Donate .

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • SpeedCrunch Landing page
    Landing page //
    2021-09-19
  • Matplotlib Landing page
    Landing page //
    2023-06-14

SpeedCrunch

Categories
  • Calculator
  • Advanced Calculator
  • Knowledge Search
  • Engineering Calculator
Website speedcrunch.org
Details $-
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Matplotlib

Categories
  • Development
  • Data Visualization
  • Technical Computing
  • Data Science And Machine Learning
Website matplotlib.org
Details $
Edit details

SpeedCrunch videos

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SpeedCrunch

Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to SpeedCrunch and Matplotlib)

SpeedCrunch

Matplotlib

Calculator
100 100%
Calculator
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Advanced Calculator
100 100%
Advanced Calculator
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using SpeedCrunch and Matplotlib. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare SpeedCrunch and Matplotlib

SpeedCrunch Reviews

10 Of The Best Mathway Alternatives
SpeedCrunch allows you to crunch complex sets of math problems at high speeds. The app supports a wide range of mathematical operations, from random number generation to trigonometry.
Source: launchspace.net

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than SpeedCrunch. While we know about 98 links to Matplotlib, we've tracked only 6 mentions of SpeedCrunch. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SpeedCrunch mentions (6)

  • Qalculate! - the ultimate desktop calculator
    As well as of https://speedcrunch.org/. Source: about 2 years ago
  • Rewrite KCalc app?
    I would love to see Speedcrunch to become KDE's first choice as a calculator app:. Source: over 2 years ago
  • Does KDE have a native programming calculator?
    Hello, if you are looking for a good scientific calculator you could give a chance to speedcrunch. Source: over 2 years ago
  • AWESOME WINDOWS TOOLS
    SpeedCrunch - The best and only calculator you'll need, completely stripped down of unnecessary UI clutter. - Source: dev.to / almost 3 years ago
  • All desktop calculators are wrong, so I had to build my own
    I personally really like using speedcrunch[1] as a desktop calculator, and it’s cross platform. It’s not doing pretty print though. Otherwise it’s wolfram alpha[2], but that needs internet. I never type calculations in any search engines, but that’s way too slow compared to speedcrunch. Maybe I feel similarly to chalk using a web view compared to how electron apps are seen by some. Displaying inaccuracies is neat!... - Source: Hacker News / about 3 years ago
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Matplotlib mentions (98)

  • Implementing semantic image search with Amazon Titan and Supabase Vector
    Matplotlib: for displaying our image result. - Source: dev.to / 14 days ago
  • Releasing The Force Of Machine Learning: A Novice’s Guide 😃
    Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / about 2 months ago
  • How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
    Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 months ago
  • Ask HN: What plotting tools should I invest in learning?
    For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 9 months ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
View more

What are some alternatives?

When comparing SpeedCrunch and Matplotlib, you can also consider the following products

Qalculate! - Qalculate! is a multiplatform multi-purpose desktop calculator.

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

Numi App - Numi is a beautiful text calculator for Mac.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Soulver - Soulver is a software application that functions as a calculator that allows you type a continuous stream of information rather than having to input data into multiple cells.

Plotly - Low-Code Data Apps

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