Jupyter notebook是一个开源 IDE，用于创建 Jupyter 文档，这些文档可以与实时代码一起创建和共享。此外，它是一个基于网络的交互式计算环境。 Jupyter notebook 可以支持数据科学中流行的各种语言，如Python、Julia、Scala、R 等。
Pycharm是由 JetBrains 开发并专门为Python创建的 IDE。它具有代码分析、集成单元测试器、集成Python调试器、支持 Web 框架等多种功能。 Pycharm 在机器学习方面特别有用，因为它支持 Pandas、Matplotlib、Scikit-Learn、NumPy 等库。
下面是 Jupyter 和 Pycharm 之间的差异表
| S.No. | Jupyter | Pycharm |
|---|---|---|
| 1 | Jupyter notebook is a web-based interactive computing platform. | Pycharm is a smart code editor. |
| 2 | The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media. | The editor provides first-class support for Python, JavaScript, CoffeeScript, TypeScript, CSS, popular template language and more. Take advantage of language-aware code completion, error detection, and on-the-fly code fixes! |
| 3 | It can be classified as a tool in the “Data Science Notebooks” | PyCharm is grouped under “Integrated Development Environment(IDE)”. |
| 4 | Provides in-line code execution using blocks. | Provides smart auto-completion. |
| 5 | Provides in-line graphing support. | Provides intelligent code analysis. |
| 6 | It can be themed and supports kernel as well as latex. | It is powerful refactoring, virtualenv integration, and Git integration |
| 7 | It’s very flexible as compared to pycharm. | It’s not very flexible as comapred to jupyter and slow startup. |
| 8 | Tools like GitHub, Python, Dropbox, Scala, TensorFlow etc. are integrated with jupyter. | Tools like Python, Django, Anaconda, Wakatime, Kite etc. are integrated with Pycharm. |
| 9 | Comapnies like Ruangguru, Delivery Hero SE, trivago, Intuit, Hepsiburada, etc. are using Jupyter | Companies like Lyft, Bepro Company, trivago, Hepsiburada, Picnic Technologies, etc are using Pycharm. |