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Eric VS DataSpell

Compare Eric VS DataSpell and see what are their differences

Eric logo Eric

eric - The Python IDE

DataSpell logo DataSpell

JetBrains DataSpell is an IDE for data science with intelligent Jupyter notebooks, interactive Python scripts, and lots of other built-in tools.
  • Eric Landing page
    Landing page //
    2021-09-16
  • DataSpell Landing page
    Landing page //
    2023-02-13

Eric features and specs

  • Integrated Development Environment
    Eric provides a comprehensive IDE experience tailored for Python development, which includes features like code highlighting, debugging, and project management.
  • Plugin System
    Eric offers a flexible plugin system that allows developers to extend the IDE's functionality, making it adaptable to a variety of programming needs and preferences.
  • Version Control Support
    The IDE has built-in support for version control systems like Git and Mercurial, enabling seamless integration with source control repositories.
  • Cross-Platform
    Eric is available on multiple platforms including Windows, macOS, and Linux, ensuring a consistent development experience regardless of the operating system.
  • Free and Open Source
    Eric is released under the GPL license, making it free to use and modify, which can be a significant advantage for both individuals and organizations with budget constraints.

Possible disadvantages of Eric

  • Steep Learning Curve
    Due to its extensive features, new users might find Eric complex and overwhelming, necessitating a learning period to become proficient.
  • Performance Issues
    Some users report that Eric can become sluggish, particularly with larger projects, which can impede productivity compared to more lightweight IDEs.
  • Visual Design
    The user interface of Eric is often criticized for being outdated or not as visually appealing as other modern IDEs, potentially affecting user experience.
  • Limited Community Support
    Compared to more popular IDEs, Eric has a smaller user base and community, which might result in fewer resources and third-party plugins available.

DataSpell features and specs

  • Integrated Development Environment
    DataSpell is developed by JetBrains, a company known for its high-quality IDEs, ensuring a polished and robust user experience that integrates numerous tools for data science.
  • Smart Code Editor
    It provides a powerful code editor with syntax highlighting, code completion, and intelligent code assistance, improving productivity and reducing errors.
  • Version Control Integration
    DataSpell has built-in support for version control systems like Git, making it easier to collaborate on projects and track changes efficiently.
  • Jupyter Notebook Support
    It offers seamless support for Jupyter notebooks with features like code folding, smart code editing, and interactive outputs, enhancing the notebook use experience.
  • Data Visualization
    The tool provides strong data visualization support, helping data scientists explore and present data in an intuitive manner.
  • Extensive Plugin Ecosystem
    DataSpell can be customized and extended with a wide variety of plugins, allowing users to augment its functionality per project requirements.

Possible disadvantages of DataSpell

  • Resource Intensive
    Like many JetBrains IDEs, DataSpell can be resource-intensive, which might be problematic for users with less powerful hardware.
  • Cost
    DataSpell is a commercial product which requires a subscription, potentially being a significant cost for individual users and small companies.
  • Steeper Learning Curve
    The rich set of features and numerous customization options may result in a steeper learning curve for new users compared to simpler data science tools.
  • Not Open Source
    Being a proprietary product, some users might be wary of vendor lock-in and may prefer open-source solutions for greater transparency and community support.
  • Limited Export Options
    While it excels in supporting Jupyter notebooks, some users report limitations in exporting notebooks to other formats compared to native Jupyter capabilities.
  • Dependency on Plugins
    Relying heavily on plugins for extra functionality can cause compatibility issues and might require extra time to configure the desired environment.

Eric videos

KING ERIC 2.0?! 87 FUT BIRTHDAY BAILLY PLAYER REVIEW! FIFA 21 Ultimate Team

DataSpell videos

DataSpell Demo // Modern IDE for Data Scientists (from Jetbrains) | Demohub.dev

More videos:

  • Review - From Jupyter Notebooks To JetBrains DataSpell
  • Review - Meet JetBrains DataSpell โ€“ The IDE for Professional Data Scientists

Category Popularity

0-100% (relative to Eric and DataSpell)
Text Editors
100 100%
0% 0
Python IDE
0 0%
100% 100
IDE
100 100%
0% 0
Data Science IDE
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Eric seems to be more popular. It has been mentiond 3 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.

Eric mentions (3)

  • what is your favorite IDE for CircuitPython?
    There's VSCodium if you want a little more of an OSS experience. ERIC4 https://eric-ide.python-projects.org/ is maybe the closest pythonic IDE I've seen and is worth a look, though I've never tried CircuitPython with it. Source: over 2 years ago
  • Scintilla is a free source code editing component with a permissive license
    Https://eric-ide.python-projects.org/. - Source: Hacker News / over 3 years ago
  • Python IDEs and code editors compilation
    This is a cross-platform IDE written in Python. Eric has a powerful debugger that debugs multithreaded and multiprocessor programs. There is support for unit testing, a built-in hex editor, an SQL browser, an icon designer, and many other tools. Thanks to the built-in Qt supports the creation of graphical interfaces using Qt Designer. - Source: dev.to / over 5 years ago

DataSpell mentions (0)

We have not tracked any mentions of DataSpell yet. Tracking of DataSpell recommendations started around Nov 2021.

What are some alternatives?

When comparing Eric and DataSpell, you can also consider the following products

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

Spyder - The Scientific Python Development Environment

IDLE - Default IDE which come installed with the Python programming language.

SciPy - SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering.ย 

Thonny - Python IDE for beginners

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming