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Reactive Maps VS kepler.gl

Compare Reactive Maps VS kepler.gl and see what are their differences

Kimp
Kimp is an unlimited design company, specializing in graphic design (including print and digital designs, custom illustrations, landing page designs and email designs) and video design. featured
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Reactive Maps logo Reactive Maps

Build awesome maps with reusable UI + data components.

kepler.gl logo kepler.gl

Uber's geospatial analysis tool for large-scale data sets
  • Reactive Maps Landing page
    Landing page //
    2022-06-29
  • kepler.gl Landing page
    Landing page //
    2023-10-22

Reactive Maps features and specs

  • Real-Time Interactivity
    Reactive Maps offers real-time interactivity, allowing users to see changes and updates on the map instantly as data changes.
  • Reactive Ecosystem
    Part of the appbase.io ecosystem, it integrates well with other components of ReactiveSearch, providing a cohesive experience for building real-time apps.
  • Open Source
    Being open-source, developers can contribute to its development, customize it to their needs, and benefit from community support.
  • Ease of Use
    Designed to be developer-friendly, with minimal setup and easy integration into existing projects.
  • Scalability
    Built on top of Elasticsearch, it can handle large datasets efficiently, making it suitable for applications requiring scalability.

Possible disadvantages of Reactive Maps

  • Learning Curve
    Developers unfamiliar with the Reactive programming paradigm or Elasticsearch may initially find it challenging to work with Reactive Maps.
  • Limited Community Size
    As a niche tool, the community size is smaller compared to more popular frameworks, potentially limiting resources like tutorials and support.
  • Dependence on External Systems
    Reactive Maps require Elasticsearch or other compatible databases, which might necessitate additional setup and maintenance.
  • Performance Overhead
    While it's designed to be efficient, the performance can depend heavily on the configuration and optimization of the underlying Elasticsearch instance.
  • Customization Complexity
    Deep customizations may require extensive knowledge of both the system and its integration points, which can increase development time.

kepler.gl features and specs

  • Ease of Use
    Kepler.gl has an intuitive interface that allows users to easily create visualizations without extensive technical knowledge.
  • Fast Rendering
    The tool efficiently renders large datasets, providing quick visual feedback which is beneficial for data exploration and analysis.
  • Customizability
    Users can customize visualizations extensively through various settings and color schemes to better represent their data.
  • Open Source
    Kepler.gl is an open-source project, allowing users to contribute to its development and modify it for specific use-cases.
  • Integration
    It integrates well with other platforms and data sources, which makes it versatile for different data import/export needs.

Possible disadvantages of kepler.gl

  • Learning Curve
    Despite its intuitive interface, new users might require some time to learn how to effectively utilize all of its features.
  • Limited Analytical Tools
    While excellent for visualization, Kepler.gl does not offer advanced analytical tools found in some other GIS platforms.
  • Performance Limitations
    Rendering extremely large datasets can still lead to performance issues depending on the user's hardware.
  • Dependency on Web Technology
    As a web-based tool, it depends on browser compatibility and performance, which might not be ideal in all environments.
  • Lack of Advanced Geographic Features
    The tool does not support some advanced geographic data manipulations natively, which might require additional tools or programming.

Reactive Maps videos

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kepler.gl videos

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React Geospatial Visualization with kepler.gl

More videos:

  • Review - Geospatial Analytics with H3+ kepler.gl by Isaac Brodsky

Category Popularity

0-100% (relative to Reactive Maps and kepler.gl)

Reactive Maps

kepler.gl

Maps
35 35%
Maps
65% 65
Design Tools
100 100%
Design Tools
0% 0
Mapping And GIS
39 39%
Mapping And GIS
61% 61
Developer Tools
34 34%
Developer Tools
66% 66

User comments

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Social recommendations and mentions

Based on our record, kepler.gl seems to be more popular. It has been mentiond 26 times since March 2021. 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.

Reactive Maps mentions (0)

We have not tracked any mentions of Reactive Maps yet. Tracking of Reactive Maps recommendations started around Mar 2021.

kepler.gl mentions (26)

  • Where Do Stolen Bikes Go?
    The line visuals at the bottom are not using Mapbox. Rather they're using the open source Kepler.gl [0], (a user-friendly wrapping of the deck.gl library [1]). These can use Mapbox for the underlying basemap, but the data rendering is done separately. (This is easy to tell if you look at the page source. The map at the bottom is an embed from a static HTML kepler.gl map [2]) [0]: https://kepler.gl/ [1]:... - Source: Hacker News / about 2 years ago
  • [OC] Blue Jay smart bird feeder visits in North America, December, 2022
    Data taken from: https://live.mybirdbuddy.com/metadata/all\_metadata\_december.csv The tool used to generate the visual: https://kepler.gl/. Source: about 2 years ago
  • [OC] My history of visited places in my hometown.
    I exported my Google Maps Record and downloaded it. .json file is downloaded. Then we convert it into .CSV file using a Python script. And then to visualize, online web Kepler.gl is used. Source: over 2 years ago
  • I want to learn how to make artful maps like these. Is GIS a good place to learn this, or another program?
    If you know any python programming, check out Kepler. It was a part of Uber's mapping systems that became open source. It can make pretty good looking maps. Https://kepler.gl/. Source: over 2 years ago
  • Big Spatial Data Visualization using DeckGL - In this tutorial, we will explain how to process UK-Accidents(1.5 Million Points) spatial data using python and visualize it using DeckGL
    Neat, also worth checking out is kepler.gl, and datashader. Source: over 2 years ago
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What are some alternatives?

When comparing Reactive Maps and kepler.gl, you can also consider the following products

Mapme - Build smart and beautiful maps within minutes with no coding.

Mapbox - An open source mapping platform for custom designed maps. Our APIs and SDKs are the building blocks to integrate location into any mobile or web app.

Map Generator for Sketch - Design beautiful map interfaces with Google Maps & Mapbox

ArcGIS - ArcGIS software is a data analysis, cloud-based mapping platform that allows users to customize maps and see real-time data ranging from logistics support to overall mapping analysis.

Hoodmaps - Crowdsourced neighborhood 🗺 maps to navigate a city 💫

Map Stack - Map Stack makes designing maps free, easy, and fun.

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