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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. Matplotlib vs Nellavio

Matplotlib vs Nellavio

OverviewComparisonAlternatives

Overview

Matplotlib
Matplotlib
Stacks1.6K
Followers336
Votes11
Nellavio
Nellavio
Stacks0
Followers1
Votes1

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Detailed Comparison

Matplotlib
Matplotlib
Nellavio
Nellavio

It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.

Nellavio is a free, open-source dashboard starter designed for building modern SaaS products, internal tools and data-rich admin panels. It provides the UI components, pages and patterns you need to create a complete dashboard application - available out of the box. It will give you a solid head start and save a lot of development time by serving as a practical foundation that you can easily extend and adapt to your specific needs. It includes 90+ reusable UI components, 60+ chart variations, auth, i18n, dark/light theming, Storybook, an optional Node.js backend, and a lightweight layout-only version.

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authentication, i18n, shadcn components, charts, storybook
Statistics
Stacks
1.6K
Stacks
0
Followers
336
Followers
1
Votes
11
Votes
1
Pros & Cons
Pros
  • 11
    The standard Swiss Army Knife of plotting
Cons
  • 5
    Lots of code
No community feedback yet

What are some alternatives to Matplotlib, Nellavio?

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.

Material-UI

Material-UI

Material UI is a library of React UI components that implements Google's Material Design.

Ant Design

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

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.

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