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PCPartPicker VS Plotly

Compare PCPartPicker VS Plotly and see what are their differences

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PCPartPicker logo PCPartPicker

By offering its users with multiple buying guides, this PC building website basically assist its users in building their own PC and give them ideas for creating ideal PC.

Plotly logo Plotly

Low-Code Data Apps
  • PCPartPicker Landing page
    Landing page //
    2019-02-27
  • Plotly Landing page
    Landing page //
    2023-07-31

PCPartPicker features and specs

  • Comprehensive Compatibility Checker
    PCPartPicker provides an extensive compatibility checker that ensures all selected components will work together, helping users avoid potentially costly mistakes.
  • Price Comparison and Alerts
    The platform aggregates prices from various retailers, allowing users to compare options easily. It also offers price alerts to notify users when a component drops in price.
  • User-Generated Builds and Reviews
    PCPartPicker hosts a community of users who share their builds and reviews, providing valuable insights and inspiration for those looking to build a PC.
  • Build Guides and Tutorials
    The site features numerous build guides and tutorials that cater to both beginners and advanced users, offering step-by-step instructions and tips.
  • Intuitive Interface
    The user-friendly interface makes it easy to navigate through the site, select components, and build a custom PC without a steep learning curve.

Possible disadvantages of PCPartPicker

  • Availability Limitations
    Certain components might not be available in some regions, limiting the ability of non-U.S. users to take full advantage of the site’s features.
  • Sponsored Listings
    Some listings may be sponsored, which can sometimes prioritize certain products over potentially better or cheaper alternatives.
  • Partial Retailer Integration
    Not all retailers are integrated into the platform, meaning users might miss out on deals or have to manually check other sites for better prices.
  • Occasional Compatibility Oversights
    While the compatibility checker is comprehensive, it is not infallible, and there are rare instances where certain compatibility issues might not be flagged.
  • Community Variability
    The quality of user-generated content can vary, and while many reviews and builds are helpful, some may be less informative or include personal biases.

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.

Analysis of PCPartPicker

Overall verdict

  • PCPartPicker is generally considered an excellent resource for both novices and experienced PC builders. Its comprehensive database and community support make it a reliable choice for organizing PC builds and ensuring that all components work well together.

Why this product is good

  • PCPartPicker is a popular tool for building and managing PC component lists due to its extensive compatibility checker, user-friendly interface, and price comparison features. It helps users find the best deals on components from various retailers and reduces the risk of compatibility issues when assembling a computer.

Recommended for

    PCPartPicker is recommended for anyone interested in building their own computer. It's especially useful for individuals who want to ensure component compatibility, compare prices, and seek advice or inspiration from a community of like-minded tech enthusiasts.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

PCPartPicker videos

+ Add

Fixing your PCPartPicker lists. Oof.

More videos:

  • Tutorial - How to use PCPartPicker to Plan Your PC Build
  • Tutorial - Picking PC Parts EXPLAINED! ~ How to use pcpartpicker.com

Plotly videos

+ Add

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

Category Popularity

0-100% (relative to PCPartPicker and Plotly)

PCPartPicker

Plotly

Other
100 100%
Other
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Productivity
100 100%
Productivity
0% 0
Data Dashboard
0 0%
Data Dashboard
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 PCPartPicker and Plotly

PCPartPicker Reviews

We have no reviews of PCPartPicker yet.
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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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, PCPartPicker seems to be a lot more popular than Plotly. While we know about 4768 links to PCPartPicker, we've tracked only 33 mentions of Plotly. 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.

PCPartPicker mentions (4768)

  • Building an AI Server on a Budget
    The RTX market is particularly irritating right now, even second-hard 4090s are still going for MSRP if you can find them at all. Most of the recommendations for this budget AI system are on point - the only thing I'd recommend is more RAM. 32GB is not a lot - particularly if you start to load larger models through formats such as GGUF and want to take advantage of system ram to split the layers at the cost of... - Source: Hacker News / 4 months ago
  • Ask HN: What Are You Working On? (February 2025)
    Cool. What about giving the models for a given GPU? Also it could compare using vLLM, local_llama.c, etc. Links to docs maybe. People could upload their builds and rate their experience. Along the lines of https://pcpartpicker.com/ And you can definitely add some ref links for a bit of revenue. - Source: Hacker News / 7 months ago
  • Show HN: RAM Prices
    Usually I just use PCPartPicker https://pcpartpicker.com/. - Source: Hacker News / over 1 year ago
  • Resources for learning about building a PC
    Before looking for a book like this, have you considered if you really need one? There are tons of configuratros for PCs these days (example, which I am using: https://pcpartpicker.com). I built 2x PCs already with it. Saves lots of time and you don't need to know everything to use it. - Source: Hacker News / over 1 year ago
  • I want to build a pc for my friend with a budget of at most 4700 RON (~1000$). Keep in mind that I'm from Romania so PcPartPicker doesn't have all the big tech stores in my country. What do you think?
    | Generated by [PCPartPicker](https://pcpartpicker.com) 2023-12-11 21:37 EET+0200 |. Source: almost 2 years ago
View more

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 / 6 months 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 / 8 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 / 10 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 / over 1 year 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: almost 2 years ago
View more

What are some alternatives?

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

Logical Increments - Logical Increments is a website designed for the gamers only.

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.

Newegg - The largest consumer electronics focused e-retailer in North America.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

Outervision Power Supply Calculator - Outervision Power Supply Calculator is one of the leading and trusted PC power consumption calculators, providing you with accurate information.

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

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