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.
We have collected here some useful links to help you find out if kepler.gl is good.
Check the traffic stats of kepler.gl on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of kepler.gl on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of kepler.gl's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of kepler.gl on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about kepler.gl on Reddit. This can help you find out how popualr the product is and what people think about it.
Is Kepler what you're looking for? Not sure if I am pointing in the right direction but curious. https://kepler.gl. - Source: Hacker News / about 2 months ago
Increasingly yes. A modern browser on a good laptop can crunch on GBs of data in a browser tab at once. This makes all sorts of data analysis and visualization tasks feasible in a client-side web app where previously you would have needed a detected database server somewhere. Take a look at the https://kepler.gl/ demos to see quite how sophisticated this stuff can get now - millions of geospatial data points... - Source: Hacker News / 7 months ago
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 / over 3 years ago
Data taken from: https://live.mybirdbuddy.com/metadata/all\_metadata\_december.csv The tool used to generate the visual: https://kepler.gl/. Source: over 3 years ago
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 3 years ago
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 3 years ago
Neat, also worth checking out is kepler.gl, and datashader. Source: over 3 years ago
I would recommend trying / playing with https://kepler.gl which is also a web based visualization tool, built with deck.gl (also recommend trying) - maybe this will give you some inspiration and new techniques :). Source: almost 4 years ago
You probably wanna check out Kepler.gl. High-performance, open source web-based tool by Uber. Source: about 4 years ago
Would be cool to see some data visualization for this dataset. E.g. Whats the income distribution look like? Maybe could use a tool like Kepler to see how things look geospatially. Source: over 4 years ago
Have you looked at kepler.gl which is based on deck.gl. Source: over 4 years ago
I'm fairly new to kepler.gl and just not quite sure how to go about this. Any help would be greatly appreciated! Source: over 4 years ago
This is nice!! Can you export GeoJSON? Dropping this into kepler.gl could produce some amazing visualizations. Source: over 4 years ago
It's python/pandas for the data processing, kepler.gl for the visualization. Source: almost 5 years ago
I really enjoy using kepler.gl. It was developed by Uber, and best of all is open source. Source: almost 5 years ago
Or if itโs spatial data with coordinates maybe: https://kepler.gl/. Source: almost 5 years ago
Very nice! Have you ever messed about with kepler.gl? Source: almost 5 years ago
Inspired by kepler.gl, it makes visual discovery on graph datasets accessible to analysts, data scientists and managers. - Source: dev.to / about 5 years ago
Source of bicycle sharing stations. Rendered with kepler.gl library. Source: over 5 years ago
Kepler.gl, built on top of deck.gl. Depending on the level of abstraction needed, one of these two should be a really good option. Source: over 5 years ago
We created the tool to help analyst and investigators visualize connected data - mainly around blockchain and financial transactions. I think graph visualization solutions should be more accessible to business users and analyst and took Kepler.gl as an inspiration when creating Motif. The idea is to be backend agnostic and let you use your preferred language/tools while speeding up data discovery and collaboration. Source: over 5 years ago
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