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  1. Stackups
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  3. UI Components
  4. Charting Libraries
  5. Flow CSV Editor vs Victory

Flow CSV Editor vs Victory

OverviewComparisonAlternatives

Overview

Victory
Victory
Stacks44
Followers83
Votes0
GitHub Stars11.2K
Forks537
Flow CSV Editor
Flow CSV Editor
Stacks2
Followers7
Votes0

Flow CSV Editor vs Victory: What are the differences?

Developers describe Flow CSV Editor as "Graphical CSV file editor for timed data". 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. On the other hand, Victory is detailed as "ReactJS library for building interactive data visualizations". A collection of composable React components for building interactive data visualizations.

Flow CSV Editor and Victory can be primarily classified as "Charting Libraries" tools.

Victory is an open source tool with 8.39K GitHub stars and 395 GitHub forks. Here's a link to Victory's open source repository on GitHub.

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Detailed Comparison

Victory
Victory
Flow CSV Editor
Flow CSV Editor

A collection of composable React components for building interactive data visualizations.

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.

Robust; Flexible; Native
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
Statistics
GitHub Stars
11.2K
GitHub Stars
-
GitHub Forks
537
GitHub Forks
-
Stacks
44
Stacks
2
Followers
83
Followers
7
Votes
0
Votes
0
Integrations
React
React
No integrations available

What are some alternatives to Victory, Flow CSV Editor?

D3.js

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.

Highcharts

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

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

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

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

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

amCharts

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

CanvasJS

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.

AnyChart

AnyChart

AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.

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