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Fityk VS Matplotlib

Compare Fityk VS Matplotlib and see what are their differences

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Fityk logo Fityk

Fityk. Open-source curve-fitting and data analysis software. Linux, Windows, Mac OS X.

Matplotlib logo Matplotlib

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

Fityk videos

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Short Workshop Fityk Software - M2ReG WEBINAR

Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Fityk and Matplotlib)

Fityk

Matplotlib

Technical Computing
8 8%
Technical Computing
92% 92
Numerical Computation
100 100%
Numerical Computation
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Visualization
12 12%
Data Visualization
88% 88

User comments

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Reviews

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

Fityk Reviews

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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 Fityk. While we know about 98 links to Matplotlib, we've tracked only 2 mentions of Fityk. 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.

Fityk mentions (2)

  • What you guys use to process data? Excel? r? python?
    Process as to retrieve the interesting bits? AWK and grep. Process as in curve fitting? fityk. Process as in running statistical tests? past4. But very often, it is not an "either a), or b)" but a combination of "a) and b)". Source: about 1 year ago
  • can anyone guide me how to download X'pert Highscore software? I don't know how to download..
    On the other hand - your question does not share what you eventually intend to do - if you want to plot the PXRD recorded to perform a baseline correction, pick the peaks, export the data, etc. Fityk may be an interesting tool equally useful outside crystallography (J. Appl. Cryst. 2010, 43, 1126-1128, DOI 10.1107/S0021889810030499 with 1.8k+ citations so far.) It runs on Linux, Windows, Mac; its actions can be... Source: about 1 year ago

Matplotlib mentions (98)

  • Implementing semantic image search with Amazon Titan and Supabase Vector
    Matplotlib: for displaying our image result. - Source: dev.to / 21 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 / 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
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What are some alternatives?

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

NumeRe - Framework for numerical computations, data analysis and visualisation.

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

SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.

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

QtiPlot - QtiPlot is a professional scientific data analysis and visualisation solution.

Plotly - Low-Code Data Apps

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