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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. Epoch by Fastly vs Matplotlib

Epoch by Fastly vs Matplotlib

OverviewComparisonAlternatives

Overview

Epoch by Fastly
Epoch by Fastly
Stacks9
Followers16
Votes0
Matplotlib
Matplotlib
Stacks1.6K
Followers336
Votes11

Epoch by Fastly vs Matplotlib: What are the differences?

Developers describe Epoch by Fastly as "A general purpose real-time charting library for building beautiful, smooth, and high performance visualizations". Epoch is a general purpose charting library for application developers and visualization designers. It focuses on two different aspects of visualization programming: basic charts for creating historical reports, and real-time charts for displaying frequently updating timeseries data. On the other hand, Matplotlib is detailed as "A plotting library for the Python programming language". 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.

Epoch by Fastly and Matplotlib can be primarily classified as "Charting Libraries" tools.

Epoch by Fastly is an open source tool with 4.98K GitHub stars and 292 GitHub forks. Here's a link to Epoch by Fastly's open source repository on GitHub.

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Detailed Comparison

Epoch by Fastly
Epoch by Fastly
Matplotlib
Matplotlib

Epoch is a general purpose charting library for application developers and visualization designers. It focuses on two different aspects of visualization programming: basic charts for creating historical reports, and real-time charts for displaying frequently updating timeseries data.

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.

Built for Developers - open source;Real-time Charting;Unified Styling
-
Statistics
Stacks
9
Stacks
1.6K
Followers
16
Followers
336
Votes
0
Votes
11
Pros & Cons
No community feedback yet
Pros
  • 11
    The standard Swiss Army Knife of plotting
Cons
  • 5
    Lots of code

What are some alternatives to Epoch by Fastly, Matplotlib?

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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