Software Alternatives, Accelerators & Startups

Eva Design System VS Deepnote

Compare Eva Design System VS Deepnote and see what are their differences

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Eva Design System logo Eva Design System

A free customizable design system

Deepnote logo Deepnote

A collaboration platform for data scientists
  • Eva Design System Landing page
    Landing page //
    2022-07-16
  • Deepnote Landing page
    Landing page //
    2023-10-09

Eva Design System features and specs

  • Customization Flexibility
    Eva Design System offers a high degree of customization, allowing developers and designers to easily adjust themes and components to match specific brand guidelines.
  • Comprehensive Component Library
    The system provides a wide range of pre-designed components, making it easier and faster to build applications with consistent design.
  • Open Source
    Being open-source, Eva Design System allows for community contributions and ensures that it can be freely used and shared, fostering a collaborative environment for improvement.
  • Styled with Theme Variables
    Eva uses theme variables extensively, which facilitates skinning and theming applications, ensuring a unified look and feel across different components and screens.
  • Built-in Dark Mode
    Eva Design System comes with built-in support for dark mode, making it easier for developers to implement this feature without additional complexity.

Possible disadvantages of Eva Design System

  • Learning Curve
    Due to its comprehensive nature and customization options, there may be a steep learning curve for new users who are unfamiliar with the system.
  • Documentation Gaps
    While it is generally well-documented, there can be occasional gaps in the documentation that may hinder smooth implementation or require users to seek additional help.
  • Dependency Management
    Managing dependencies can become complex, especially when integrating Eva Design System with other libraries or frameworks, potentially leading to conflicts or additional overhead.
  • Performance Overhead
    The extensive customization and theming options, while beneficial, may also introduce some performance overhead, particularly in large-scale applications.
  • Community Size
    Compared to more popular design systems, Eva's community is relatively smaller, which may result in fewer third-party integrations, plugins, or community-driven solutions.

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.

Eva Design System videos

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Deepnote videos

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

Category Popularity

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Design Tools
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Data Science And Machine Learning
Website Design
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AI
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Eva Design System and Deepnote

Eva Design System Reviews

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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 a lot more popular than Eva Design System. While we know about 34 links to Deepnote, we've tracked only 1 mention of Eva Design System. 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.

Eva Design System mentions (1)

  • Dark Mode for Developers
    Based on the EVA Design System, the Nebular library is one of the best UI libraries for Angular. Nebular provides inbuilt, customizable themes like the default theme, cosmic theme, dark theme, etc. The mobile version of Nebular, called UI Kitten, also supports the dark theme. - Source: dev.to / over 3 years ago

Deepnote mentions (34)

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What are some alternatives?

When comparing Eva Design System and Deepnote, you can also consider the following products

Ant Design System for Figma - A large library of 2100+ handcrafted UI components

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.

Design Systems Repo - A collection of design system examples and resources

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

Fabrx.co - Create the UI Kits, Bootstrap 5 or HTML Dashboards that you need in minutes. Have some design sense to spare? Fabrx will help you tackle even the trickiest of projects.

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