osm-renderer
plotly
| osm-renderer | plotly | |
|---|---|---|
| 1 | 67 | |
| 142 | 16,602 | |
| 2.1% | 1.6% | |
| 5.6 | 9.8 | |
| 12 months ago | 9 days ago | |
| Rust | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
osm-renderer
plotly
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Who’s Really Following You on Dev.to? A Guide to Analyzing Your Audience
Right off the bat, there’s a massive spike around early 2024–03 that stands out — yet, it’s hard to pinpoint which specific article triggered this rush just by looking at this static chart. To dig deeper and see if a particular article caused this jump, I decided to try something more interactive with Plotly for a clearer view.
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1MinDocker #6 - Building further
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
What are some alternatives?
tilemaker - Make OpenStreetMap vector tiles without the stack
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
abstreet - Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
awesome-vector-tiles - Awesome implementations of the Mapbox Vector Tile specification
Altair - Declarative visualization library for Python
opening-hours-rs - A parser for the opening_hours fields from OpenStreetMap.
folium - Python Data. Leaflet.js Maps.
Skeletron - Computes straight skeletons of simple polygons
bokeh - Interactive Data Visualization in the browser, from Python
abstreet - A traffic simulation game exploring how small changes to roads affect cyclists, transit users, pedestrians, and drivers. [Moved to: https://github.com/a-b-street/abstreet]
matplotlib - matplotlib: plotting with Python