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Things VS Kaggle

Compare Things VS Kaggle and see what are their differences

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Zero-knowledge encrypted notes, tasks, journals, files, and passwords in one app. Your keys never leave your device. One-time price, no subscription. Hosted in Switzerland. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Things logo Things

Things is an easy to use task manager.

Kaggle logo Kaggle

Kaggle offers innovative business results and solutions to companies.
  • Things Landing page
    Landing page //
    2023-01-17
  • Kaggle Landing page
    Landing page //
    2023-04-18

Things features and specs

  • User Experience
    Things is known for its clean, intuitive, and beautifully designed user interface, making it easy to use.
  • Integration with Apple Ecosystem
    Seamlessly integrates with macOS and iOS devices, offering features like Handoff and deep Apple Calendar integration.
  • Powerful Task Management
    Supports projects, areas, headings, and tags, providing a robust system for managing complex tasks and workflows.
  • Quick Entry
    Provides a quick entry function allowing users to capture tasks efficiently, which can later be categorized and detailed.
  • Updates and Support
    Regularly updated with new features and enhancements, backed by reliable customer support.
  • Keyboard Shortcuts
    Offers extensive keyboard shortcuts for power users to navigate and manage tasks quickly.
  • Natural Language Processing
    Allows users to input tasks using natural language, which is then intelligently parsed and scheduled.

Possible disadvantages of Things

  • Cost
    Things requires a one-time purchase for each platform (macOS, iOS), making it relatively expensive compared to some subscription-based competitors.
  • Platform Limitation
    Only available on Apple devices (macOS and iOS), making it inaccessible for users on Windows, Android, or other platforms.
  • No Collaboration Features
    Lacks built-in collaboration tools, which can be a drawback for teams looking to share and manage tasks collectively.
  • Learning Curve for Advanced Features
    While the basic interface is user-friendly, fully utilizing advanced features can require time and a deeper understanding.
  • Limited Automation
    Offers fewer automation options and integrations compared to some competitors like Todoist or Microsoft To Do.

Kaggle features and specs

  • Community
    Kaggle has a vibrant community of data scientists and machine learning practitioners who actively collaborate, share knowledge, and support each other.
  • Competitions
    The platform hosts numerous competitions that allow users to test their skills on real-world problems, often with monetary prizes and recognition.
  • Datasets
    Kaggle offers a vast repository of datasets that are readily available for analysis and can be used to practice and build models.
  • Kernels
    Users can share and run code in the cloud using Kaggle Kernels, which provide a collaborative environment for analysis and model development.
  • Learning Resources
    Kaggle provides numerous tutorials, courses, and micro-courses to help beginners and advanced users improve their skills in data science and machine learning.

Possible disadvantages of Kaggle

  • Steep Learning Curve
    For beginners, the breadth and depth of content and tools available on Kaggle can be overwhelming, making it difficult to know where to start.
  • Competition Pressure
    While competitions can be motivating, they can also be stressful and may require a significant time investment, which can be discouraging for some users.
  • Public Exposure
    Submissions and code are often public, which may not be suitable for all users, especially those uncomfortable with sharing their work or making mistakes publicly.
  • Limited Real-world Application
    Some competitions and datasets are heavily curated or simplified, which may not fully represent the complexities and messiness of real-world data science problems.
  • Resource Limitations
    Free tier users have limited computational resources on Kaggle Kernels, which can be a constraint for more complex models or larger datasets.

Analysis of Things

Overall verdict

  • Things is widely regarded as an excellent productivity tool, especially for Apple ecosystem users. It combines elegance with functionality, making it a top choice for those who prefer a minimalist but powerful task manager.

Why this product is good

  • Things by Cultured Code is highly acclaimed for its clean, intuitive design and effective task management features. It provides a seamless user experience with its natural language input, powerful integration with macOS and iOS, and features like projects, areas, deadlines, and reminders that help users organize their tasks efficiently. The app is particularly praised for its focus on simplicity and ease of use, which allows users to focus on their tasks without being overwhelmed by features.

Recommended for

    Things is ideal for individuals who are deeply integrated into the Apple ecosystem and appreciate a minimalist design approach. It's perfect for users who prefer a straightforward, no-frills task management system that emphasizes ease of use, efficiency, and aesthetic appeal.

Analysis of Kaggle

Overall verdict

  • Yes, Kaggle is a good platform for anyone interested in data science and machine learning. It provides valuable resources and a collaborative environment that can significantly aid in skill development.

Why this product is good

  • Kaggle is a popular platform for data science and machine learning practitioners. It offers a wide range of datasets for analysis, competitions to practice and showcase skills, and a community where users can share knowledge and collaborate on projects. The platform provides a comprehensive suite of tools, including notebooks with free GPU access, which can be very beneficial for learning and experimentation.

Recommended for

  • Data scientists looking to practice and refine their skills
  • Machine learning enthusiasts who want to participate in competitions
  • Students and professionals aiming to learn data analysis and modeling
  • Researchers seeking to access diverse datasets for experimentation
  • Individuals and teams interested in collaborating on data-driven projects

Things videos

+ Add

Brandon's Cult Movie Reviews: THINGS

More videos:

  • Review - Things 3: Full Review (2019)
  • Review - OmniFocus vs. Things 3 review: which is best for you?

Kaggle videos

+ Add

How to use Kaggle ?

More videos:

  • Review - Kaggle Live-Coding: Code Reviews! Class imbalanced in Python | Kaggle
  • Review - Kaggle Live-Coding: Code Reviews! | Kaggle

Category Popularity

0-100% (relative to Things and Kaggle)

Things

Kaggle

Task Management
100 100%
Task Management
0% 0
Data Collaboration
0 0%
Data Collaboration
100% 100
Project Management
100 100%
Project Management
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Things and Kaggle. 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 Things and Kaggle

Things Reviews

11 Ayanza Alternatives
Things 3 is a multi-award-winning personal task manager that assists you in keeping track of your tasks. The environment of the application is attractive with a fresh new look, delightful integrations, and powerful features. It has been completely effective to boost efficiency with easy to use and is attractive to the eye. The themes are a creative and powerful feature that...
Source: www.justalternativeto.com
Five of the Best To-Do Apps for iOS
Things 3 is one of the few to-do apps that's not subscription based, and it costs $9.99 to purchase. Things 3 is also available for Mac and iPad, though each app must be purchased individually.
Source: www.macrumors.com

Kaggle Reviews

Top 10 Developer Communities You Should Explore
Kaggle is an online platform that hosts data science competitions, provides datasets for analysis and machine learning projects, and offers a collaborative environment for data scientists and machine learning enthusiasts. It was founded in 2010 and has become a prominent platform for individuals and teams to showcase their data science skills, learn from one another, and...
Source: www.qodo.ai
The Best ML Notebooks And Infrastructure Tools For Data Scientists
Kaggle, an online community of data scientists, hosts Jupyter notebooks for R and Python. Kaggle Notebooks can be created and edited via a notebook editor with an editing window, a console, and a setting window. Kaggle hosts a vast number of publicly available datasets. Besides, you can also output files from a different Notebook or upload your own dataset. Kaggle comes with...
Source: analyticsindiamag.com
Top 25 websites for coding challenge and competition [Updated for 2021]
Kaggle is famous for being the place where data scientists collaborate and compete with each other. But they also have a platform called Kaggle Learn where micro-courses are provided. They are mini-courses where data scientists can learn practical data skills that they can apply immediately. They call it the fastest (and most fun) way to become a data scientist or improve...
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, Kaggle should be more popular than Things. It has been mentiond 103 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.

Things mentions (58)

  • We don't need startups, we need Digital-Mittelstand
    Correct: https://culturedcode.com/things/ Looks like the different apps (desktop, mobile, iPad) have different prices, but all are one-time payments of $10-$50. - Source: Hacker News / over 1 year ago
  • Essential Software for Mac Users: Three Recommended Efficient Tools
    Things 3is an award-winning task management application known for its clean, elegant interface and intuitive usability. It employs a minimalist design style, allowing users to easily add, organize, and view tasks, helping individuals efficiently manage daily affairs. While Things 3 does not support team collaboration features, it provides a smooth user experience on macOS as a personal task management tool. - Source: dev.to / over 1 year ago
  • Show HN: I built a task manager that separates "Do" & "Due" dates
    How badly do Twos want to SEO rank on searches for Things? https://culturedcode.com/things/. - Source: Hacker News / almost 2 years ago
  • Ask HN: What macOS apps/programs do you use daily and recommend?
    Alfred - Productivity App for macOS [1] iTerm2 - macOS Terminal Replacement [2] Dropshare App - upload anything anywhere on macOS [3] Mimestream - A native macOS email client for Gmail [4] Things - To-Do List for Mac & iOS [5] [1] https://www.alfredapp.com [2] https://iterm2.com [3] https://dropshare.app [4] https://mimestream.com [5] https://culturedcode.com/things. - Source: Hacker News / about 2 years ago
  • Ready to advance from Evernote, looking at Obsidian
    Currently, I use Things (https://culturedcode.com/things/) for tasks and Evernote for notes, and experimented with Freeform (I love the visual aspect and simplicity). At work, I've used Notion, Mural, Miro, LucidChart, Quip, and many other collaboration-based knowledge systems. I never researched the best of personal knowledge systems until now. Source: almost 3 years ago
View more

Kaggle mentions (103)

  • OpenAI Operator scores 43% on hard web tasks. We scored 81%. Here are all 300 runs.
    A good example: the results we published are one-shot success rates with no retries and no manual intervention. But we did re-run some failed tasks afterward. Take Task #197 on kaggle.com ("Identify the ongoing competition that offers the highest prize and find the code that received the most votes in that competition"). In our benchmark submission, it failed on an anti-bot block. On a subsequent run, TinyFish... - Source: dev.to / 2 months ago
  • The Beginners Guide to understanding Data Analysis
    The key to mastering data analysis is practice. Kaggle.com and World Bank provide hands-on experience with real-world data, helping you consolidate your learning and apply your skills. Trying small projects like: Analyzing Netflix ratings, Visualizing COVID-19 data and Cleaning messy sales data in Excel can help strengthen your skill. - Source: dev.to / about 1 year ago
  • Machine learning for web developers
    Before you even build a model, you are going to need some kind of dataset. Usually a CSV or JSON file. You can build your own dataset from scratch using your own data, scrape data from somewhere, or use Kaggle. - Source: dev.to / over 1 year ago
  • How to Make Money From Coding: A Beginner-Friendly Practical Guide
    Kaggle: For data science and machine learning competitions. - Source: dev.to / almost 2 years ago
  • Need help with Python / Research Project
    Need help with last minute python project (due today). Project involves choosing a dataset from kaggle.com to analyze and creating questions to answer through analyzing the data. I have a pdf file of the project guidelines if you want more details. Also on a budget. Source: about 3 years ago
View more

What are some alternatives?

When comparing Things and Kaggle, you can also consider the following products

Todoist - Todoist is a to-do list that helps you get organized, at work and in life.

Colaboratory - Free Jupyter notebook environment in the cloud.

TickTick - TickTickis a cross-platform to-do list app & task manager helps you to get all things done and make life well organized.

HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.

Remember The Milk - Remember The Milk is a task and time management application for mobile devices.

Numerai - Hedge fund that crowdsources market trading from AI programmers over the Internet

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