
Obsidian
Notion
Joplin
Evernote
Anytype.io
Roam Research
Standard Notes
Logseq is a local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base.

Apple Machine Learning Journal
Amazon Machine Learning
Lobe
Machine Learning Playground
Deep Learning Gallery
Kur
Deepnote
A Linux desktop in the cloud built for Machine Learning

Which is more popular?
Based on our record, Logseq seems to be a lot more popular than Paperspace Gradient. While we know about 300 links to Logseq, we've tracked only 1 mention of Paperspace Gradient.
Website, pricing, platforms and company facts side by side.
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| Website | logseq.com | gradient.paperspace.com |
| Pricing | — | |
| Company | Startup from the United States | — |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Paperspace Gradient yet.
Walkthroughs and reviews on video.
Logseq - A Roam Research Alternative for Notes / PKM / To Do / Journal
More videos
Paperspace for Machine Learning
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Logseq and Paperspace Gradient. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Logseq is a powerful and advanced tool for thought that has been gaining attention among note-taking enthusiasts and productivity seekers. In this article, we will provide an overview of Logseq, explore what users can...
Outliners (think Workflowy, Roam, Logseq) rely on blocks and indentation for primary connections, and references to other blocks or pages for richer links. They’re optimized for capturing quick thinking.
Refined user interface: Logseq offers a refined user interface that is easy to understand and pleasing to the eyes. On the other hand, Obsidian looks like a jumble of various UI elements which are hard to figure out...
Gradient by Paperspace is a robust alternative that allows developing, training, and deploying machine learning models quickly. With free GPU tier and one-click Jupyter notebooks, it's an easy-to-use platform that...
Paperspace Gradient is a cloud-based platform for data science and machine learning that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It provides powerful...
Recommendations tracked on public social media and blogs since March 2021.


Using Logseq[1][2] for years and quite happy with it, especially since it has apps for tablets/iPad and phones as well, while being completely FOSS. [1] https://logseq.com/ [2] https://github.com/logseq/logseq. - Source: Hacker News / 4 months ago
Choose a local Markdown tool like Obsidian, Logseq, Foam, or Tolaria to store all your knowledge as plain .md files you own and control. - Source: dev.to / 6 months ago
I should call out another thing that convinced me was a user of forgetful (twsta) posted in the discord a skill for managing wok and todos from how they used to use Logseq. - Source: dev.to / 8 months ago
Yeah, seems so to me. Add it to the list. https://cloud.google.com/notebooks https://notebooks.azure.com/ https://aws.amazon.com/emr/features/notebooks https://colab.research.google.com/ https://www.kaggle.com/code... - Source: Hacker News / over 5 years ago
When comparing Logseq and Paperspace Gradient, you can also consider the following products.

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.
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A blog written by Apple engineers
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All-in-one workspace. One tool for your whole team. Write, plan, and get organized.
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Machine learning made easy for developers of any skill level
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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.
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Visual tool for building custom deep learning models
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