
Plotly
D3.js
Tableau
Google Charts
Epoch JS
NVD3
CanvasJS
RAWGraphs is an open source app built with the goal of making the visualization of complex data...

SciDaVis
GnuPlot
LabPlot
OriginPro
MATLAB
Matplotlib
Graph
Framework for numerical computations, data analysis and visualisation.
Which is more popular?
Based on our record, RAWGraphs seems to be more popular. It has been mentioned 5 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | rawgraphs.io | numere.org |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from Germany · 1 - 9 employees · 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of RAWGraphs yet.
Solving and visualizing. Table based. Statistics and numerics. Optimized for science. Free of charge. GNU GPL v3. 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...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of NumeRe yet.
Walkthroughs and reviews on video.
RawGraphs Walkthrough
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing RAWGraphs and NumeRe.
NumeRe's answer:
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:
If you're coming from Excel (or similar), you might want to read those two articles: https://en.numere.org/home/blog/can-numere-excel and https://en.numere.org/home/blog/when-numere-is-the-better-spreadsheet
Besides that: feel free to scan through our blog, where we post regularly about NumeRe's features: https://en.numere.org/home/blog
Share your experience with using RAWGraphs and NumeRe. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


RAWGraphs is an open-source Data Visualization tool designed to make visualizing complex data simple for everyone. The primary goal of RAWGraphs is to provide a tool that allows people who do not have the...
We have no reviews of NumeRe yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Go back through a second time Code themes / pull insights/ double check for keywords tag accuracy Use Dovetail’s “charts” to review various tags (it will show you how many tags per word in various chart options, none are great.) Export... Source: over 4 years ago
Sankey is probably the most common name (after Captain Matthew Henry Phineas Riall Sankey who apparently made them to study energy flows in steam engines). But I've also heard it referred to as an alluvial diagram, for example in... Source: almost 5 years ago
This seems quite similar to RawGraphs: https://rawgraphs.io/ Both seem to provide a similar interface for dragging in a CSV file and constructing a chart, but RawGraphs is open-source, and can be used in the browser without installing... - Source: Hacker News / almost 5 years ago
Tracking NumeRe since Feb 2023.
When comparing RAWGraphs and NumeRe, you can also consider the following products.


SciDAVis is a free application for Scientific Data Analysis and Visualization.
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D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
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Gnuplot is a portable command-line driven interactive data and function plotting utility.
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Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
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LabPlot is a KDE-application for interactive graphing and analysis of scientific data.
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