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Startup Tracker VS Plotly

Compare Startup Tracker VS Plotly and see what are their differences

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Startup Tracker logo Startup Tracker

The startup search engine 🎯

Plotly logo Plotly

Low-Code Data Apps
  • Startup Tracker Landing page
    Landing page //
    2022-12-14
  • Plotly Landing page
    Landing page //
    2023-07-31

Startup Tracker features and specs

  • Comprehensive Data
    Startup Tracker provides a vast array of information on startups, including funding details, growth metrics, and industry categories. This comprehensive dataset can be valuable for investors and analysts looking to track and evaluate startup ecosystems.
  • User-Friendly Interface
    The platform is designed with a clean and intuitive interface, making it easy for users to navigate through startup profiles and quickly access important information.
  • Real-time Updates
    Startup Tracker offers real-time updates on startup activities, ensuring that users have access to the most current data regarding new funding rounds, acquisitions, and other significant events.

Possible disadvantages of Startup Tracker

  • Limited Free Access
    Free access to Startup Tracker is often limited, with only partial data available without a subscription. This can be a hindrance to users who require full access to the platform's capabilities but are not ready to pay for a subscription.
  • Potential Data Inaccuracy
    As with any platform reliant on large datasets, there can be errors or outdated information despite efforts to maintain accuracy. Users should cross-verify critical data from additional sources.
  • Overwhelming for New Users
    The sheer volume of data available might be overwhelming for new users or those unfamiliar with navigating such platforms, requiring some learning or training to fully leverage its capabilities.

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 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.

Startup Tracker videos

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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 Startup Tracker and Plotly)

Startup Tracker

Plotly

Startups
100 100%
Startups
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
SaaS
100 100%
SaaS
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 Startup Tracker and Plotly

Startup Tracker Reviews

We have no reviews of Startup Tracker 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, Plotly seems to be a lot more popular than Startup Tracker. While we know about 33 links to Plotly, we've tracked only 1 mention of Startup Tracker. 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.

Startup Tracker mentions (1)

  • LaunchTorch - Check where your competitors launched
    The only competitor we can think of right now is https://startuptracker.io/ they combine information from leading providers with data crowdsourced directly from startups to make your startup research easier than ever. Data sources include: Fedger.io, Beta List, Crowdsourcing, Crunchbase, Product Hunt, Social Media. Source: almost 4 years ago

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 / 3 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 / 5 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 / 6 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 / 12 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

What are some alternatives?

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

Mattermark - Ranking 800,000+ high growth Internet companies

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.

Funderbeam - Where Growth Companies are Funded and Traded Across Borders

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

TNW Index - Keep track of companies & markets you care about

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

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