Software Alternatives, Accelerators & Startups

IntelliJ IDEA VS Deepnote

Compare IntelliJ IDEA VS Deepnote and see what are their differences

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IntelliJ IDEA logo IntelliJ IDEA

Capable and Ergonomic IDE for JVM

Deepnote logo Deepnote

A collaboration platform for data scientists
  • IntelliJ IDEA Landing page
    Landing page //
    2023-07-20
  • Deepnote Landing page
    Landing page //
    2023-10-09

IntelliJ IDEA features and specs

  • Intelligent Code Completion
    IntelliJ IDEA offers advanced code completion features, which help to speed up coding by suggesting relevant keywords, variable names, and methods. It understands the context of the code, making suggestions more accurate and useful.
  • Powerful Refactoring
    IntelliJ IDEA provides an extensive set of refactoring tools that simplify code restructuring. Developers can easily rename, move, and change the signature of classes and methods without breaking the application.
  • Integrated Version Control
    Supports various version control systems such as Git, SVN, and Mercurial. This integration allows seamless code commits, merges, and history tracking directly within the IDE.
  • Rich Plugin Ecosystem
    Offers a vast library of plugins to extend its functionalities by adding support for additional languages, frameworks, and tools, making it highly customizable.
  • Built-in Terminal
    Includes a powerful built-in terminal that allows for command-line operations without leaving the IDE, improving workflow efficiency.
  • Cross-Platform Support
    IntelliJ IDEA is available for Windows, macOS, and Linux, providing consistency for developers who work across different operating systems.
  • Comprehensive Debugging
    Features advanced debugging tools that provide detailed inspection of variable states, stack traces, and execution flow, making it easier to identify and fix issues.
  • User-Friendly Interface
    Offers a highly intuitive and customizable user interface that simplifies navigation and enhances productivity.

Possible disadvantages of IntelliJ IDEA

  • Resource Intensive
    IntelliJ IDEA can be very demanding on system resources, such as RAM and CPU, which may affect performance on less powerful machines.
  • Steep Learning Curve
    New users may find it challenging to learn all of its features and settings, as the IDE offers a wide range of tools and options.
  • Cost
    While there is a free Community edition, the Ultimate edition with full features requires a paid license, which can be expensive for individual developers or small teams.
  • Occasional Sluggishness
    Users may experience occasional sluggish performance, especially with large projects or extensive usage of plugins.
  • Initial Setup Complexity
    Setting up IntelliJ IDEA for the first time, particularly for specific project configurations, can be time-consuming and complex.
  • Frequent Updates
    While regular updates are beneficial for security and new features, they can sometimes cause interruptions or require downtime to install.
  • Dependency on Plugins
    Some key functionalities may rely heavily on third-party plugins, which can sometimes lag in updates or lack sufficient documentation.

Deepnote features and specs

  • Collaborative Features
    Deepnote allows for real-time collaboration, similar to Google Docs, where multiple users can work on the same notebook simultaneously without conflicts.
  • Integration with Popular Tools
    Deepnote integrates seamlessly with popular data sources and tools such as Google Drive, GitHub, and SQL databases, enhancing its versatility for data science projects.
  • User-Friendly Interface
    The interface is clean and easy to navigate, making it accessible for both beginners and experienced data scientists.
  • Cloud-Based
    Being a cloud-based solution, Deepnote eliminates the need for local setup and maintenance, allowing users to access their projects from anywhere with internet access.
  • Data Security
    Deepnote provides robust security features, ensuring that your data and notebooks are protected against unauthorized access.
  • Integrated Version Control
    Version control within Deepnote allows users to track changes, revert to previous versions, and collaborate more effectively on shared projects.

Possible disadvantages of Deepnote

  • Limited Offline Access
    As a cloud-based platform, Deepnote requires an internet connection for most of its functionality, which can be a limitation for users needing offline access.
  • Performance Constraints
    Heavy computational tasks might be limited by the performance capabilities of the cloud resources provided, affecting users who require extensive computational power.
  • Subscription Costs
    While there is a free tier, advanced features and increased resource limits come at a subscription cost, which might be a consideration for students or hobbyists.
  • Learning Curve for Advanced Features
    While basic functionality is user-friendly, mastering the more advanced features and integrations may require a learning curve, especially for users new to data science tools.
  • Dependency on External Infrastructure
    The performance and availability of Deepnote can be affected by issues with their cloud service providers, which adds a layer of dependency on external infrastructure.

IntelliJ IDEA videos

Overview of IntelliJ IDEA

More videos:

  • Review - Why I Use IntelliJ IDEA
  • Review - Be More Productive With IntelliJ IDEA by Trisha Gee

Deepnote videos

Could this be the Best Data Science Notebook? (Deepnote)

Category Popularity

0-100% (relative to IntelliJ IDEA and Deepnote)
IDE
100 100%
0% 0
Data Science And Machine Learning
Text Editors
100 100%
0% 0
AI
0 0%
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 IntelliJ IDEA and Deepnote

IntelliJ IDEA Reviews

Explore 9 Top Eclipse Alternatives for 2024
Developed by JetBrains, IntelliJ IDEA is a versatile Integrated Development Environment (IDE) initially built for Java and Kotlin, but extends its prowess to incorporate a myriad of other languages through plugins. A unique and user-centric environment favorably touted for its tuneability and keyboard shortcuts that enhance productivity, IntelliJ IDEA has grown to compete...
Source: aircada.com
Top 10 Android Studio Alternatives For App Development
IntelliJ IDEA is an IDE that was developed by JetBrains and is written in Java, Groovy, and Kotlin. It helps in building the IntelliJ IDEA community from the source code and also produces high-quality code.
The Best IDEs for Java Development: A Comparative Analysis
Intelligent Coding Assistance: What sets IntelliJ IDEA apart is its intelligent coding assistance. It seems to understand your code, predict your needs, and assist you with a range of development tasks from start to finish. By virtually mapping your Java projects, it can detect errors, suggest code variants, conduct refactoring, and more. It’s like having a coding assistant!
Source: dev.to
20 Best Diff Tools to Compare File Contents on Linux
Intellij Idea is an enterprise development, cross-platform software for multiple operating systems. It is used to review the differences between any two files, folders, text sources, or database objects, as well as between local files and their repository versions.
Source: linuxopsys.com
9 Of The Best Android Studio Alternatives To Try Out
IntelliJ IDEA, the routine tasks like coding, are handled by IntelliJ IDEA, which leads to accelerated development. It also allows the programmer to focus on functionality.

Deepnote Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Deepnote is a cloud-based data science notebook platform comparable to Jupyter Notebooks but with a focus on real-time collaboration and editing. It lets users write and run code in several programming languages, as well as include text, equations, and visualizations in a single document.
Source: lakefs.io
7 best Colab alternatives in 2023
Deepnote is a real-time collaborative notebook. It offers features like real-time collaboration, version control, and smart autocomplete. It also provides direct integrations with popular data sources like GitHub, Google Drive, and BigQuery. Its modern, intuitive interface makes it a compelling choice for both beginners and experienced data scientists.
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Deepnote is a cloud-based, data science notebook platform that is similar to Jupyter Notebooks, but with a focus on collaboration and real-time editing. It allows users to write and execute code in a variety of programming languages, as well as include text, equations, and visualizations in a single document. Deepnote also has a built-in code editor and supports a wide range...
Source: noteable.io
The Best ML Notebooks And Infrastructure Tools For Data Scientists
A Jupyter-notebook enabled platform, Deepnote boasts of many advanced features. Deepnote supports real-time collaboration to discuss and debug the code. The platform will soon have functions such as versioning, code review, and reproducibility. Deepnote has intelligent features to quickly browse the code, find patterns in your data, and autocomplete code. It can integrate...

Social recommendations and mentions

Based on our record, Deepnote 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.

IntelliJ IDEA mentions (0)

We have not tracked any mentions of IntelliJ IDEA yet. Tracking of IntelliJ IDEA recommendations started around Mar 2021.

Deepnote mentions (34)

View more

What are some alternatives?

When comparing IntelliJ IDEA and Deepnote, you can also consider the following products

Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

Xcode - Xcode is Apple’s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.

Apache Zeppelin - A web-based notebook that enables interactive data analytics.

VS Code - Build and debug modern web and cloud applications, by Microsoft

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.