Notes, tasks, passwords, journal, files, calendar, contacts and bookmarks, with mood and medication tracking. Encrypted on your device. Open source, no ads, no trackers. Free forever; Pro is a one-time purchase.
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Which is more popular?
Based on our record, Logseq
seems to be more popular. It has been mentioned
300 times
since March 2021.
social mentions
300 vs 0
Note Taking popularity
100% vs 0%
alternatives listed
240+ vs 19
Base details
Website, pricing, platforms and company facts side by side.
Bidirectional Linking Logseq allows users to easily create bidirectional links between notes, enhancing organization and navigation through related information.
Graph View The graph view provides a visual representation of how notes are interconnected, helping users see the bigger picture of their knowledge network.
Markdown Support Logseq supports Markdown, making it easy to format notes and write in a widely-used plain text format.
Local Storage Notes are stored locally, giving users full control over their data and enhancing privacy and security.
Customizable Workflows Users can customize their workflows with plugins and templates to suit their specific needs and preferences.
Open Source Being an open-source project, Logseq invites community contributions and ensures more transparency in development and issue resolution.
Task Management Logseq integrates task management features, such as to-do lists and scheduling, directly within notes, improving productivity.
Possible disadvantages
Learning Curve New users may find Logseq's extensive features and unique workflow approach challenging to learn without dedicated time and effort.
Sync Complexity While storing notes locally is a pro for privacy, it requires additional tools or manual methods to sync notes across multiple devices.
Mobile App Limitations The mobile version of Logseq is still in development, meaning it may lack some features and fluidity found in the desktop version.
Resource Intensive Logseq can consume considerable system resources, particularly when dealing with large datasets or extensive use of graph view.
Community Dependency As an open-source project, certain features may rely on community contributions, which could lead to inconsistent updates or support.
Customization Complexity While high customization is a benefit, it can become overwhelming and complex to manage for users who prefer a more straightforward tool.
Open source Petals is freely available on GitHub under an open source license, allowing anyone to inspect, modify, and contribute to the codebase without cost.
Privacy-focused As a period and menstrual cycle tracking app, Petals emphasizes user privacy by keeping data local and avoiding the data-harvesting practices common in many commercial period trackers.
Modern Android tech stack The project is built with Kotlin and modern Android development tools like Jetpack Compose, making it clean, maintainable, and aligned with current best practices.
Simple and focused Petals aims to do one thing well—cycle tracking—resulting in a lightweight, uncluttered app without unnecessary bloat or intrusive features.
Community contribution friendly Being hosted on GitHub with an active maintainer, it welcomes issues, pull requests, and community involvement to improve and extend the app.
Possible disadvantages
Limited platform support Petals is an Android-only application, so users on iOS or other platforms cannot use it, restricting its audience.
Smaller feature set Compared to established commercial period trackers, Petals may lack advanced features such as detailed health analytics, symptom correlations, or predictions.
Small community and support As a niche open source project maintained by an individual, it has a limited contributor base and may offer slower updates and less support than larger apps.
Potential maintenance uncertainty Reliance on a small team or single maintainer introduces risk that development could slow or stop, leaving bugs unfixed over time.
Less polished UX Independent open source apps often have a less refined user interface and onboarding experience compared to professionally designed commercial alternatives.
Analysis
An editorial look at what each product does well and who it suits.
LogseqPetals
Overall verdict
Yes, Logseq is generally considered a good tool, particularly for individuals seeking a robust, free-form method of organizing notes and knowledge that goes beyond traditional hierarchical models.
Why this product is good
Logseq is a versatile tool for managing notes and knowledge using a graph-based interface similar to networked thought processing. It offers features like linked references, back-linking, and support for Markdown and org-mode, making it a valuable tool for those who value interconnected note-taking. Its open-source nature ensures constant community-driven improvements and transparency, encouraging a strong user community.
Recommended for
Students and researchers who manage a large volume of interconnected notes.
Professionals who require a flexible and dynamic knowledge management system.
Writers and content creators looking for a tool to visualize ideas and concepts.
Tech enthusiasts and developers who appreciate open-source software.
Overall verdict
Petals is a solid open-source project for running large language models collaboratively across distributed consumer-grade hardware, similar in spirit to BitTorrent but for AI inference. It's good for those who need access to large models without owning expensive GPU infrastructure, though performance and reliability depend on network participants.
Why this product is good
Enables running large language models (like Llama or BLOOM) without needing a single powerful GPU/server
Distributes the computational load across multiple volunteer or personal devices
Open-source and free, backed by academic research (BigScience/Petals paper)
Allows both inference and fine-tuning of large models collaboratively
Reduces the cost barrier for experimenting with large-scale LLMs
Active community and ongoing development on GitHub
Recommended for
Researchers and hobbyists who want to experiment with large LLMs without expensive hardware
Developers exploring decentralized or distributed AI inference systems
Academic or non-commercial projects needing occasional access to large models
Users comfortable with variable performance due to reliance on distributed peer resources
People interested in open-source alternatives to centralized AI APIs
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...
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
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6 months ago
Forgetful gets procedural and prospective memory
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
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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