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Toggl VS Plotly

Compare Toggl VS Plotly and see what are their differences

Klartab
Log hours, export reports, and manage approvals - built for freelancers. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Toggl logo Toggl

Toggl is an online time tracking tool. It features 1-click time tracking and helps you see where your time goes. Free and paid versions are available.

Plotly logo Plotly

Low-Code Data Apps
  • Toggl Landing page
    Landing page //
    2023-10-05
  • Plotly Landing page
    Landing page //
    2023-07-31

Toggl features and specs

  • User-Friendly Interface
    Toggl offers an intuitive and easy-to-use interface that allows users to track time with minimal effort and complexity, making it accessible for all skill levels.
  • Cross-Platform Support
    Toggl is available on multiple platforms, including web, desktop, and mobile devices, ensuring seamless time tracking regardless of the device being used.
  • Detailed Reporting
    Toggl provides comprehensive reporting features that allow users to generate detailed reports on their time usage, helping in analyzing productivity and project management.
  • Integrations
    Toggl integrates with a wide range of popular productivity tools such as Asana, Trello, Jira, Slack, and more, ensuring smooth workflow integration.
  • Free Tier
    Toggl offers a free version that includes basic time tracking and reporting features, which can be sufficient for individual users and small teams.

Possible disadvantages of Toggl

  • Limited Features in Free Version
    While the free version is useful, it lacks some advanced features like project budgeting, in-depth reporting, and billable hours tracking, which are available in the paid plans.
  • Pricey Premium Plans
    The premium versions of Toggl can be relatively expensive, especially for small businesses or freelancers on a tight budget.
  • Learning Curve for Advanced Features
    Although the basic functions are user-friendly, some users may find a learning curve when trying to utilize more advanced features and settings.
  • Occasional Sync Issues
    There have been reports from users about occasional synchronization issues between different devices or platforms, which can lead to discrepancies in time tracking.
  • Limited Offline Functionality
    Toggl's offline functionality is somewhat limited, meaning that users need internet access to fully utilize and synchronize their time tracking data.

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.

Toggl videos

+ Add

Toggl Review: Time Tracker

More videos:

  • Tutorial - Time Tracking: How To Use Toggl Track (2021 Tutorial)
  • Review - TIME TRACKING: Why You Need to Use Toggl

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 Toggl and Plotly)

Toggl

Plotly

Time Tracking
100 100%
Time Tracking
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Invoicing
100 100%
Invoicing
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Toggl and Plotly. For example, how are they different and which one is better?
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Reviews

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

Toggl Reviews

25 Best Asana Alternatives & Competitors for Project Management in 2024
Toggl is a project management software comprised of three solutions: Toggl Track, Toggl Plan, and Toggl Hire. Toggl Planโ€™s visual roadmaps complement change management when managing multiple projects in spreadsheets introduces more work than support.
Source: clickup.com
10 Top RescueTime Alternatives for 2024 [Detailed Overview]
Mobile time tracking: Toggl Trackโ€™s mobile app is available for Android and iOS devices. Itโ€™s easy to use and syncs with the web and desktop versions for seamless time tracking.
Source: toggl.com
Discovering rescuetime alternatives for high productivity (2024)
Want to something else instead? Toggl can be the answer. It is significantly used by multiple businesses and is undeniably a good platform.
Source: www.timetackle.com
Toggl Track vs Clockk: 2023 comparison
Toggl Track and Clockk are both popular time tracking apps used by freelancers and businesses to keep track of time spent on projects. Toggl and Clockk both have a browser extension available. Read on to...
Source: clockk.com
21 Time Tracking Tools To Manage Your Workday
Thanks to web, desktop, and mobile applications which all sync in real time, Toggl takes the hassle out of time management. Their calendar integration improves the scheduling aspect of managing a team, and starting a timer takes only a single click. Toggl also offers the option to enable notifications which remind users to start tracking (or to stop tracking when the program...
Source: hive.com

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

Social recommendations and mentions

Based on our record, Toggl should be more popular than Plotly. It has been mentiond 78 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.

Toggl mentions (78)

View more

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

What are some alternatives?

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

Harvest - Simple time tracking, fast online invoicing, and powerful reporting software. Simplify employee timesheets and billing. Get started for free.

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.

RescueTime - Time management software that shows you how you spend your time & provides tools to help you be more productive.

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

Time Doctor - Time Tracking and Time Management Software that is accurate and helps you to get a lot more done each day.

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.

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