Flow CSV Editor vs Mafs
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is a light-weight tool for viewing and editing CSV files locally on your Windows computer. It's primarily designed for timed data such as sensor data and measurement logs, but it can be used with any valid CSV file. The data is presented as line plots rather than in a grid, and zooming, scrolling and rearranging the plots is fast and efficient, also on large data sets. | It is a set of opinionated React components for creating interactive, animated visualizations with declarative code. |
Open any valid CSV file;Line plot display;Arrange line plots into cells;Print plots and copy plot as image;Simple text search;Advanced boolean expression search;Formula engine based on Python syntax;Edit values;Cut, copy and paste samples or data;Remove, reorder and rename variables;Redefine variables with Python expressions;Sort samples;Unlimited undo and redo | React components for interactive math;
Build interactive, animated visualizations with declarative code |
Statistics | |
GitHub Stars - | GitHub Stars 3.3K |
GitHub Forks - | GitHub Forks 98 |
Stacks 2 | Stacks 1 |
Followers 7 | Followers 3 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to Flow CSV Editor, Mafs?
D3.js
It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.
Ant Design
An enterprise-class UI design language and React-based implementation. Graceful UI components out of the box, base on React Component. A npm + webpack + babel + dora + dva development framework.
Highcharts
Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.
Plotly.js
It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
Angular Universal
It executes on the server, generating static application pages that later get bootstrapped on the client. This means that the application generally renders more quickly, giving users a chance to view the application layout before it becomes fully interactive.
Recharts
Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.
Angular Material
Sprint from Zero to App. Hit the ground running with comprehensive, modern UI components that work across the web, mobile and desktop. It allows to create material styled angular apps fast and easy.
ECharts
It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.
ZingChart
The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.
