Software Alternatives, Accelerators & Startups

Plotly VS PostGraphQL

Compare Plotly VS PostGraphQL and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

PostGraphQL logo PostGraphQL

Execute one command (or mount one Node.js middleware) and get an instant high-performance GraphQL API for your PostgreSQL database! - graphile/postgraphile
  • Plotly Landing page
    Landing page //
    2023-07-31
  • PostGraphQL Landing page
    Landing page //
    2023-08-04

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

PostGraphQL features and specs

No features have been listed yet.

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

PostGraphQL videos

No PostGraphQL videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Plotly and PostGraphQL)
Data Visualization
100 100%
0% 0
Javascript UI Libraries
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and PostGraphQL

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

PostGraphQL Reviews

We have no reviews of PostGraphQL yet.
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Social recommendations and mentions

Based on our record, Plotly should be more popular than PostGraphQL. It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Plotly mentions (33)

  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / about 1 month ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 3 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 5 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

PostGraphQL mentions (10)

  • Best Orm that uses Graphql and Postgres
    If you point is to abstract all the CRUD/GraphQL application, Go isn’t needed. You can go with PostgREST or Postgraphile. Source: over 2 years ago
  • Ask HN: Locally generate GraphQL schema and resolvers from DB
    What do you mean locally? Hasura is OSS, and you can run it locally (you have autogenerated SQL statements) Here you can just use Nhost and its CLI; Alternatives are https://github.com/graphile/postgraphile or dgraph as you mentioned. Hasura is working on support for sqlite, so you may have some blockers there, you can also look into the Prisma engine which has GQL as an intermediate (for resolvers, for example). - Source: Hacker News / over 2 years ago
  • Supabase (YC S20) raises $80M Series B
    I've personally found Postgraphile to be fantastic. Nicer to use than Hasura and fully OSS: https://github.com/graphile/postgraphile/. - Source: Hacker News / almost 3 years ago
  • GraphQL is now available on Supabase
    Hi all, this sounds very cool. How does pg_graphql compare to Postgraphile? https://github.com/graphile/postgraphile (besides I guess running in the DB with PLpgSQL instead of as a NodeJS server) Did you think about integrating Postgraphile with the Supabase ecosystem or have specific limitations with it? Thanks! - Source: Hacker News / about 3 years ago
  • Are there actually better alternatives than Apollo server?
    If you’re open to learning Postgres, I’d recommend postgraphile (https://github.com/graphile/postgraphile). Been using it for the past 2.5 years and only have good things to say. Source: over 3 years ago
View more

What are some alternatives?

When comparing Plotly and PostGraphQL, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

React.run - Quick in-browser prototyping for React Components!

Chart.js - Easy, object oriented client side graphs for designers and developers.

graphql-yoga - 🧘 Fully-featured GraphQL Server with focus on easy setup, performance & great developer experience - prisma-labs/graphql-yoga

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Observable - Interactive code examples/posts