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 a lot more popular than Astronomer.
While we know about 300 links to Logseq,
we've tracked only 4 mentions of Astronomer.
social mentions
300 vs 4
Note Taking popularity
100% vs 0%
alternatives listed
240+ vs 99
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.
Managed Airflow Astronomer provides a managed service for Apache Airflow, which simplifies the process of deploying, managing, and scaling Airflow instances. This reduces the operational overhead for data engineering teams.
Integration and Extensibility Astronomer integrates seamlessly with many existing data tools and platforms, allowing organizations to build complex data pipelines and workflows effortlessly. Its flexibility enables users to extend its functionality as needed.
User-friendly Interface It offers a user-friendly web interface and CLI that makes it easier for teams to develop and monitor their workflows, thereby reducing the learning curve associated with Airflow.
Scalability Astronomer allows data teams to easily scale their workflows. Users can scale their environments according to need without worrying about infrastructure limitations.
Collaboration Features With built-in team collaboration features, multiple users can work on data workflows together, thus enhancing productivity and coordination across data projects.
Possible disadvantages
Cost Using Astronomer can be expensive, particularly when scaling to multiple Airflow instances or when compared to self-managed Airflow options.
Dependency on Platform Organizations become dependent on Astronomer's platform for managing their Airflow deployments, which can be a concern if there's a need to switch providers or migrate in the future.
Customization Limitations Though Astronomer is customizable, certain users may find limitations compared to a self-hosted solution where developers have more control over the environment and integrations.
Complexity for Small Teams For smaller teams with simpler workflows, the complexity and features provided by Astronomer can be overwhelming or unnecessary.
Analysis
An editorial look at what each product does well and who it suits.
LogseqAstronomer
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
Astronomer is a reliable and efficient platform, especially for organizations looking to leverage Apache Airflow without incurring the operational complexity of self-managing the infrastructure. It offers great value by optimizing workflow management and enhancing scalability.
Why this product is good
Astronomer (astronomer.io) is considered a good platform for several reasons. It provides a robust solution for managing Apache Airflow, offering features like a scalable and reliable cloud-native platform, easier deployment, and maintenance of workflows. The managed service reduces the overhead of managing infrastructure and allows teams to focus on building and optimizing data pipelines. Additionally, it offers streamlined integration, an intuitive UI, and support for various libraries and frameworks, enhancing the overall development experience for data engineers and scientists.
Recommended for
Data engineering teams wanting a managed airflow environment.
Organizations requiring scalable and reliable data pipelines.
Businesses seeking to minimize infrastructure management overhead associated with Apache Airflow.
Data scientists looking for seamless integration with existing data ecosystems.
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...
Astronomer acts as a layer for seamless integration with Apache Airflow. Without directly managing the infrastructure of Astronomer you can leverage the capabilities of Apache airflow, ensuring best designs and...
Social recommendations and mentions
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
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
I’ve just got a data engineering from BI developer role by transferring internally and I’m struggling
A quick tip for airflow if you don't have a local install (and I heartily recommend a local install - astronomer.io has an easy to set up container).
Source:
almost 4 years ago
Farnance: How Julian built a SaaS for farmers with Wasp and won a hackathon!
Julian LaNeve is an engineer and data scientist who currently works at Astronomer.io as a Product Manager. In his free time, he enjoys playing poker, chess and winning data science competitions.
- Source: dev.to
/
about 4 years ago
I am looking for a roadmap on getting into Data Engineering. I can't hope to follow the popular roadmap shared on this sub.
Then load up docker, don't need to be a docker expert, just install docker desktop on windows or use linux. Go to astronomer.io and look at how to run airflow (cron++) in docker. Get that working. If you don't know python but do program...
Source:
almost 5 years 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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