awesome-vector-tiles
plotly
awesome-vector-tiles | plotly | |
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3 | 65 | |
2,215 | 15,288 | |
0.5% | 1.4% | |
3.8 | 9.4 | |
2 months ago | 6 days ago | |
Python | ||
Creative Commons Zero v1.0 Universal | MIT License |
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awesome-vector-tiles
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is there a way to view public mapbox maps in GIS?
I suppose, I'd need to try parsing these via some github tool?
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Opensource map software for web app
You will also need to figure out your source of basemap tiles. Again, OpenStreetMap is not an API not is it a basemap, despite what some here are recommending. It is an open dataset that is commonly used to create raster or vector tile basemaps. It is possible to download all or some of OpenStreetMap, generate vector tiles, and style them to look the way you want, but that does introduce quite a bit of extra technical overhead you might not want at this stage of development. Namely, you’d need to run you own vector tile server that your mapping API can fetch and render tiles from. Many open source vector tile servers exist and it’s kind of up to you to figure out which one meets your needs. Alternatively, Mapbox and MapTiler provide SaaS support for basemaps built in part or wholly on OpenStreetMap data. Check out “Awesome Vector Tiles” for resources and tools to help get going with vector tiles. (https://github.com/mapbox/awesome-vector-tiles)
- Prettymaps: Small Python library to draw customized maps from OpenStreetMap data
plotly
- Yes, Python and Matplotlib can make pretty charts
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/plotly/plotly.py
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How to Create a Pareto Chart 📐
First we need to install the Plotly. To create some very dynamic graphics, this tool helps a lot.
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For all you computational people: What’s your favorite plotting software?
my good dude wake up and smell the plotly. Knowing the ins and outs of matplotlib is helpful but doing interactive stuff with jupyter I always use plotly.
- What does Power BI offer?
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Other programing options?
Plotly documentation (https://plotly.com/python/)
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Advice on upgrading my Presentation template
I don´t know your workflow, but I use 2 markdown based presentations: obsidian advance slides and Quarto presentations. The former is a plugin for Obsidian, which is the software I use to take all my notes, write my thesis, etc., so It makes it extremely easy to make presentations since all my information is in Obsidian. In the other hand, Quarto is a publishing system (articles, presentations, websites books) that can be easily integrated with python and R. This makes it supper convenient for showing my data to my PI since I can analyze my data and at the same time make a presentation for the data. Besides this, Quarto also integrates with my Zotero library, so I can insert citations. Lastly, one thing that made my Quarto presentations infinitely better that the powerpoints, Is that I can insert interactive graphs with plotly, so when I'm showing my data, my PI is able to explore the data inside the presentation.
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[OC] Clustering Images with OpenAI CLIP, T-SNE, UMAP & Plotly
Plotly GitHub repository: https://github.com/plotly/plotly.py
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Could you recommend some graphing GitHub Repo. for JupyterLab?
I'm using plotly.py now. This is why I love this community.
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Anyone else feel ‘trapped’ in power bi?
Depending on the nature of your reporting requirements, you could output a formatted Excel document with Python and a library such as openpyxl, and shove that into your SharePoint environment. This would be less dynamic than PBI reports can be, but may be sufficient. If you want viz as well, you can use something like ggplot or Plotly. Again, less dynamic than PBI for the same effort.
What are some alternatives?
prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
Altair - Declarative statistical visualization library for Python
tilemaker - Make OpenStreetMap vector tiles without the stack
bokeh - Interactive Data Visualization in the browser, from Python
abstreet - Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit
matplotlib - matplotlib: plotting with Python
osm-renderer - OpenStreetMap raster tile renderer written in Rust
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
seaborn - Statistical data visualization in Python
folium - Python Data. Leaflet.js Maps.
Skeletron - Computes straight skeletons of simple polygons
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]