Software Alternatives & Startups

Plotly VS NameQuick

Compare Plotly VS NameQuick and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Plotly logo Plotly

Low-Code Data Apps

NameQuick logo NameQuick

Rename and organize files based on their content. Automatically.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • NameQuick
    Image date //
    2026-07-12
  • NameQuick
    Image date //
    2026-07-12

NameQuick is a desktop app for Windows and Mac that turns messy filenames into meaningful ones. It reads PDFs, invoices, scans, and images - and applies your exact naming convention the moment files land in a watched folder. Anything uncertain waits for your review.

NameQuick

$ Details
paid Free Trial $12 / Monthly (Managed from $12/mo; Self-Managed $69 one-time license)
Platforms
MacOS Windows
Release Date
2025 March
Startup details
Country
Netherlands
Employees
1 - 9

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.

NameQuick features and specs

  • AI-Powered Smart Rename
    Creates meaningful filenames from file contents across PDFs, images, screenshots, Pages, and Office documents.
  • Naming Presets & Templates
    Applies reusable naming conventions with custom templates, prompts, and review or automatic rename modes.
  • Watch Folders & Auto-Organize
    Monitors folders for new files, renames them as they arrive, and routes results into matching folders with rules.
  • OCR & Content Search
    Reads scanned documents with built-in OCR across 30+ formats and finds files by words inside their contents.
  • Managed, BYOK & Local AI
    Works without API keys, with your own OpenAI, Claude, Gemini or OpenRouter key, or locally through Ollama, LM Studio and MLX.

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.

Analysis of NameQuick

Overall verdict

  • NameQuick is a solid, purpose-built tool for quickly generating and checking name ideas, offering a fast and streamlined experience for anyone who needs to brainstorm names and verify availability without friction.

Why this product is good

  • Fast and intuitive interface that speeds up the naming process
  • Combines name generation with availability checks in one place
  • Helpful for overcoming creative blocks with fresh suggestions
  • Lightweight, web-based app with no complex setup required
  • Saves time compared to manually brainstorming and checking names individually

Recommended for

  • Startup founders searching for a business or brand name
  • Developers and makers naming new apps or projects
  • Marketers and creatives brainstorming product or campaign names
  • Domain investors checking name availability quickly
  • Anyone who wants a fast, low-friction naming tool

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

NameQuick videos

NameQuick Mac Review - Sevens App Blog

Category Popularity

0-100% (relative to Plotly and NameQuick)
Data Visualization
100 100%
0% 0
File Management
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Productivity
0 0%
100% 100

Questions & Answers

As answered by people managing Plotly and NameQuick.

What makes your product unique?

NameQuick's answer:

NameQuick combines content-aware AI renaming, reusable naming Presets, folder monitoring, file organization, and content search in one desktop workflow on Windows and Mac. It reads more than 30 file formats, including scanned documents through built-in OCR. Users can choose a managed service with no API-key setup, bring their own OpenAI, Claude, Gemini, or OpenRouter key, or run local models through Ollama, LM Studio, and MLX. Every rename is tracked and can be undone.

Why should a person choose your product over its competitors?

NameQuick's answer:

Choose NameQuick when filenames need to reflect what is actually inside each file, not only fixed text replacements or sequence numbers. It can rename different documents in the same batch with individually useful names, apply a consistent template, watch folders for new arrivals, and organize files with rules. It is a desktop app for Windows and Mac and supports managed, bring-your-own-key, and fully local AI workflows. Review mode and one-click undo keep users in control.

What's the story behind your product?

NameQuick's answer:

NameQuick was created to solve a common macOS problem: useful files arrive with names such as Scan0042.pdf, IMG2847.jpg, or finalFINALv3.pdf, then become difficult to find and file consistently. The product began as an AI-assisted renamer and grew into a complete local file workflow with naming Presets, OCR, watch folders, content search, organization rules, rename history, and multiple AI options. It is developed by Synthropy in the Netherlands.

Which are the primary technologies used for building your product?

NameQuick's answer:

NameQuick is a native desktop application for Windows and Mac. Its document pipeline supports more than 30 formats and includes OCR for scanned PDFs and images. AI processing can use NameQuick Managed, OpenAI, Anthropic Claude, Google Gemini, OpenRouter, or local models through Ollama, LM Studio, and MLX. Managed traffic is encrypted with TLS and routed through servers in the European Union.

Who are some of the biggest customers of your product?

NameQuick's answer:

  • SSP-NRW, a property-management company in Germany
  • die maschinerie GmbH, an advertising agency in Munich
  • CraneWave, a document-workflow company in the United Kingdom
  • TEAMMAKLER, a German real-estate company

How would you describe the primary audience of your product?

NameQuick's answer:

NameQuick is for Windows and Mac users who regularly handle PDFs, scans, screenshots, images, invoices, receipts, research, client documents, and project files. Typical users include freelancers, founders, bookkeeping and operations teams, consultants, designers, researchers, real-estate professionals, and small businesses that need consistent, searchable filenames without adopting a full document-management system.

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 NameQuick

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.

NameQuick Reviews

We have no reviews of NameQuick yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 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 (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
  • 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 / over 1 year 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 / over 1 year 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 / almost 2 years 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 / about 2 years ago
View more

NameQuick mentions (0)

We have not tracked any mentions of NameQuick yet. Tracking of NameQuick recommendations started around Mar 2025.

What are some alternatives?

When comparing Plotly and NameQuick, 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.

Advanced Renamer - Video files.

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

Bulk Rename Utility - Bulk Rename Utility: Free File Rename Utility for Windows. Bulk Rename Utility allows you to easily batch rename files and folders based upon many flexible criteria. Free Download.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Ant Renamer - Ant Renamer can rename large amounts of files and folders in few clicks.