Zettlr VS Jupyter
Compare Zettlr VS Jupyter and see what are their differences
Logseq is a local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base.
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Zettlr
Obsidian.md
Joplin
Logseq
Typora
Notion
OneNote
MarkText.app
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
Zettlr JupyterBased on our record, Jupyter seems to be a lot more popular than Zettlr. While we know about 205 links to Jupyter, we've tracked only 10 mentions of Zettlr. 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.
Oh! That's nice. :D Is this mentioned on zettlr.com? Seems as if I've missed it... Source: about 1 year ago
I'd strongly recommend trying out Zettlr (https://zettlr.com), which in many ways is close to Obsidian (except Zettlr is open source). A new Zettlr release is close to arriving and implements lots of improvements. Source: about 1 year ago
You might give Zettlr a spin. It's another Markdown-based tool like Obsidian, but it is really focussed on Zettelkasten, and of interest to you, with a stronger focus on long-form academic writing. It supports citations, footnotes and uses Pandoc for document production—so there are lots of ways to get your work out. Source: almost 2 years ago
Is https://zettlr.com an option for you? Source: about 2 years ago
Zettlr is open source and has export-to-PDF. Source: about 2 years ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 7 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 17 days ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 13 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / about 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / 2 months ago
Obsidian.md - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Logseq - Logseq is a local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.