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 ArcGIS API for Python.
While we know about 300 links to Logseq,
we've tracked only 6 mentions of ArcGIS API for Python.
social mentions
300 vs 6
Note Taking popularity
100% vs 0%
alternatives listed
240+ vs 9
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.
Integration with ArcGIS Platform The API provides seamless integration with the ArcGIS platform, allowing users to manage and analyze geographic data effectively within the same ecosystem they use for other ArcGIS tools.
Extensive Documentation ArcGIS API for Python offers comprehensive and well-organized documentation that helps developers quickly understand its capabilities and incorporate its functions into their workflows.
Jupyter Notebook Support The API can be easily used within Jupyter Notebooks, providing an interactive environment for data visualization and spatial analysis, which is highly appreciated by data scientists.
Robust Geospatial Analysis The API includes a rich set of tools for performing complex geospatial analyses, enabling users to process and analyze large datasets efficiently.
Automation Capabilities Users can automate their GIS tasks through scripting, which increases productivity by reducing the time needed for repetitive tasks and enabling the creation of complex geospatial workflows.
Possible disadvantages
Licensing Costs ArcGIS API for Python usage may require an ArcGIS Online or ArcGIS Enterprise subscription, which can be expensive for individual users or small organizations.
Learning Curve While the API is powerful, it may have a steep learning curve for users not already familiar with the ArcGIS platform or GIS concepts in general.
Dependency on Esri Ecosystem The API is tightly integrated with Esri’s ecosystem, which can be limiting for users who require integration with other non-Esri geospatial tools and platforms.
Performance Overhead Some users may experience performance issues with very large datasets due to overhead, which might necessitate additional optimization and resource management.
Limited Offline Capabilities While it provides powerful online tools, its offline capabilities are limited compared to the full desktop version of ArcGIS, which can be a constraint in non-networked environments.
Analysis
An editorial look at what each product does well and who it suits.
LogseqArcGIS API for Python
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.
No analysis of ArcGIS API for Python yet.
Videos
Walkthroughs and reviews on video.
Logseq3 videos+ AddArcGIS API for Python3 videos+ Add
Logseq - A Roam Research Alternative for Notes / PKM / To Do / Journal
More videos
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How I use Logseq Daily - A Roam Research Alternative for Notes / PKM / To Do / Journal
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Logseq Update Video - A Roam Research Alternative for Notes / PKM / To Do / Journal
Introduction to the ArcGIS API for Python
More videos
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ArcGIS API for Python: Getting to Know Pandas and the Spatial Enabled DataFrame
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ArcGIS API for Python: Mapping, Visualization, and Analysis
Category popularity
How often each product is chosen within a category, 0–100% relative to the other.
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
/
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
If it were me, I'd start with Geotab's developer api for programmatically tapping into the feeds of near real time vehicle movement, combined with ESRI's python api for creating and updating feature services on Arconline. I bet you...
Source:
over 3 years ago
ArcGIS / ArcMap on Linux with Bottles?
If you are used to Python and Jupyter Notebooks, you should definately get your hands dirty with https://developers.arcgis.com/python/.
Source:
over 3 years ago
Exporting private feature service from AGOL
Have you looked at ArcGIS API for Python? It's not the same as arcpy, but used more for working with Esri's portals.
Source:
over 3 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.
Compare Joplin to Logseq or ArcGIS API for Python:
Obsidian
Notion
Joplin
Evernote
Anytype.io
Roam Research
Standard Notes
Django
Flask
CherryPy
Bottle
TurboGears
Pyramid Web Framework
BlueBream
