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

Epoch by Fastly vs Plotly

OverviewDecisionsComparisonAlternatives

Overview

Epoch by Fastly
Epoch by Fastly
Stacks9
Followers16
Votes0
Plotly.js
Plotly.js
Stacks399
Followers694
Votes69
GitHub Stars17.9K
Forks1.9K

Epoch by Fastly vs Plotly: What are the differences?

**Introduction:**
This markdown code provides a comparison between Epoch by Fastly and Plotly highlighting key differences between the two popular data visualization tools.

1. **Real-time Data Visualization**:
Epoch by Fastly is specifically designed for real-time data visualization, making it suitable for applications that require up-to-the-minute data representation. On the other hand, Plotly also supports real-time data visualization but may not offer the same level of customization and specialized features for real-time applications.

2. **Ease of Use**:
Plotly is known for its user-friendly interface and ease of use, making it a popular choice for users with varying levels of technical expertise. In contrast, Epoch by Fastly may have a steeper learning curve due to its focus on advanced data visualization techniques and real-time data processing, which requires a deeper understanding of the tool's capabilities.

3. **Community Support**:
Plotly has a large and active community of users, developers, and contributors, providing access to a wide range of resources, tutorials, and support forums. On the other hand, Epoch by Fastly, being a more niche tool, may have a smaller community base, which could limit the availability of resources and support for users.

4. **Customization Options**:
Epoch by Fastly offers extensive customization options for data visualization, allowing users to create highly interactive and dynamic graphs and charts. In comparison, Plotly also provides customization features but may have limitations in terms of advanced customization and specialized visualizations offered by Epoch.

5. **Integration Capabilities**:
Both Epoch by Fastly and Plotly offer integration capabilities with various programming languages and platforms, allowing users to seamlessly incorporate data visualizations into different applications. However, Epoch may have more specialized integrations for real-time data processing and monitoring tasks, whereas Plotly's integrations may focus more on general data visualization needs.

6. **Cost Considerations**:
While both Epoch by Fastly and Plotly offer free versions with basic features, there may be differences in pricing plans for advanced functionalities and enterprise-level support. Users should consider their budget and specific requirements when choosing between the two tools to ensure cost-effective data visualization solutions.

In Summary, this Markdown code outlines key differences between Epoch by Fastly and Plotly in terms of real-time data visualization, ease of use, community support, customization options, integration capabilities, and cost considerations.

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Advice on Epoch by Fastly, Plotly.js

Steve
Steve

Lead Software Tools Engineer at Leonardo UK

Oct 30, 2020

Review

I would specifically recommend basing your application on Pandas which will handle the vast majority of the work for you. You will be amazed at what you will be able to get done with only a few lines of code.

Pandas can load the data from either Excel xslx files or csv files (and a lot of other places)

If you structure your code well you can have a cross platform command line program, a GUI desktop program, a Jupyter Notebook and a web service all with the vast majority of the code in common.

A jupyter notebook is a great place to start developing your code and may be all that you need.

Some plug-ins & resources that can help:

  • pandas-summary (for a rapid overview of the data): https://github.com/mouradmourafiq/pandas-summary
  • pandasgui (for exploring what you would like to do): https://github.com/adamerose/pandasgui
  • Pandas-Bokeh (plotting): https://github.com/PatrikHlobil/Pandas-Bokeh
  • plot.ly (plotting): https://plotly.com/python/pandas-backend/
  • wxPython (for a desktop GUI): https://wxpython.org/
8.81k views8.81k
Comments

Detailed Comparison

Epoch by Fastly
Epoch by Fastly
Plotly.js
Plotly.js

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 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.

Built for Developers - open source;Real-time Charting;Unified Styling
Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export
Statistics
GitHub Stars
-
GitHub Stars
17.9K
GitHub Forks
-
GitHub Forks
1.9K
Stacks
9
Stacks
399
Followers
16
Followers
694
Votes
0
Votes
69
Pros & Cons
No community feedback yet
Pros
  • 16
    Bindings to popular languages like Python, Node, R, etc
  • 10
    Integrated zoom and filter-out tools in charts and maps
  • 9
    Great support for complex and multiple axes
  • 8
    Powerful out-of-the-box featureset
  • 6
    Beautiful visualizations
Cons
  • 18
    Terrible document
Integrations
No integrations available
Python
Python
React
React
MATLAB
MATLAB
Jupyter
Jupyter
Julia
Julia

What are some alternatives to Epoch by Fastly, Plotly.js?

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.

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.

ApexCharts

ApexCharts

A modern JavaScript charting library to build interactive charts and visualizations with simple API.

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