NumeRe
SciDaVis
GnuPlot
IGOR Pro
OriginPro
MATLAB
Fityk
LabPlot
Matplotlib
GnuPlot
Pandas
Plotly
D3.js
SciDaVis
NumPy
Seaborn
NumeRe: Framework for Numerical Computations is an application for Microsoft Windows® that can do more than the usual spreadsheets. It provides you with nonlinear fits of arbitrary functions as well as a ODE solver. It can display 1D and 2D data easily and publication-ready with a simple command. Fourier transforms are included as well as wavelet transforms. Data is managed in a table-based manner and automatically saved, so you can quickly resume after a restart.
We never understood why you have to write as much code for simple things as for more complex tasks. Our mantra is therefore Keep simple things simple.
NumeRe's main goal is to be as intuitive as possible, which implies a syntax that is as simple and clear as possible. NumeRe does not try to be dynamically typed, but deliberately emphasizes that you understand what is happening as soon as you read the code. In addition, the advanced editor highlights different data structures in different colors, so the syntax may seem a bit "colorful and choppy" at first. But we can guarantee that you will appreciate it very soon.
NumeRe MatplotlibNo features have been listed yet.
No NumeRe videos yet. You could help us improve this page by suggesting one.
NumeRe's answer
NumeRe is built using mainly C++ together with some minor code snippets from C. A large variety of additional libraries is used, but most code has been written from scratch.
NumeRe's answer
NumeRe's answer
You can read about it here: https://en.numere.org/about/further-information
NumeRe's answer
We plan a bog article about this question shortly. Just head over to https://en.numere.org/home/blog and look, if it already has been published.
Based on our record, Matplotlib seems to be more popular. It has been mentiond 98 times since March 2021. 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.
Matplotlib: for displaying our image result. - Source: dev.to / about 1 month ago
Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 2 months ago
Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 months ago
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
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
SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
IGOR Pro - Technical graphing and data analysis for Macintosh and Windows.
Plotly - Low-Code Data Apps
OriginPro - OriginLab OriginPro is a comprehensive interface-based data management platform that allows users to calculate or visualize the data insights in various fields like engineering, scientific domain, or multi-sector industrial stats.
