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Plotly VS Teamplify

Compare Plotly VS Teamplify and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotly logo Plotly

Low-Code Data Apps

Teamplify logo Teamplify

Team Management for developers. Simplified and automated
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Teamplify 360 Degree Feedback feature
    360 Degree Feedback feature //
    2024-12-06
  • Teamplify Team Analytics feature
    Team Analytics feature //
    2024-12-06
  • Teamplify Time Tracking feature
    Time Tracking feature //
    2024-12-06
  • Teamplify Teamplify's Calendar
    Teamplify's Calendar //
    2024-12-06
  • Teamplify Friendly Reminder Bot
    Friendly Reminder Bot //
    2024-12-06
  • Teamplify Integrations
    Integrations //
    2024-12-06

Teamplify is a productivity tool for software development teams. Know your team's pulse with Team Analytics. Save precious meeting time with Smart Daily Standup. Always know how long tasks take with Effortless Time Tracking. Plan ahead with Time off in mind, thanks to built-in Time Off management.

Works with your existing team tools - GitHub, Jira, Slack, Zoom, Google, and others - 12 integrations included.

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.

Teamplify features and specs

  • Team Analytics
  • Effortless Time Tracking
  • Smart Daily Standup
  • Time Off Management
  • 360 Degree Feedback
  • Time Tracking

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.

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

Teamplify videos

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

Add video

Category Popularity

0-100% (relative to Plotly and Teamplify)

Plotly

Teamplify

Data Visualization
100 100%
Data Visualization
0% 0
Software Engineering
0 0%
Software Engineering
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Data Dashboard
84 84%
Data Dashboard
16% 16

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 Teamplify

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 thatโ€™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

Teamplify Reviews

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

Based on our record, Plotly should be more popular than Teamplify. 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 / 4 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!๐Ÿค“
    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 / over 1 year 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

Teamplify mentions (4)

  • Update with no fear โ€” achieving zero-downtime deployment
    Ideally, the frontend app should somehow receive a signal that a new version is available. After receiving such a signal, it can reload itself automatically so that users don't have to do anything and can continue to work normally. This idea can be implemented in various ways. Let's see a concrete example of how we did it in one of our projects, Teamplify:. - Source: dev.to / over 1 year ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Teamplify - improve team development processes with Team Analytics and Smart Daily Standup. Includes full-featured Time Off management for remote-first teams. Free for small groups of up to 5 users. - Source: dev.to / over 2 years ago
  • Effortless Time Tracking
    Effortless Time Tracking is available on all Teamplify plans, including the Free plan. You can see how long tasks take in Team Analytics and also in Smart Daily Standup (for current tasks in progress). Give it a try โ€“ get started today! - Source: dev.to / over 3 years ago
  • Is this drawn from real hummingbird? If so, what is the species?
    Took it from here: https://teamplify.com/. Source: over 4 years ago

What are some alternatives?

When comparing Plotly and Teamplify, 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.

Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.

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

Gitential - Analytics for Git Repositories

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.

Hatica - Engineering Analytics to boost developer productivity

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