Cartopy
Apache Superset
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Cartopy | Apache Superset | |
---|---|---|
9 | 3 | |
1,348 | 34,745 | |
1.1% | - | |
8.8 | 9.9 | |
5 days ago | about 3 years ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
Cartopy
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OSCAR 2022 sea surface velocity streamplot animation
Cartopy
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Cartopy - A cartographic Python library with matplotlib support.
- How to plot latitude and longitude points on a world map, and choose what kind of projection to use? (I don't want the mercator projection)
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[OC] One year in life of ocean eddies
There is not really much to it, really. Everything is done in python, with use of standard libraries, of which probably most important in this case is cartopy https://scitools.org.uk/cartopy/docs/latest/ This is the latest cartopy tutorial I was able to find: https://www.youtube.com/watch?v=ivmd3RluMiw
- [OC] This animation shows how the amount of daylight throughout the year changes based on Latitude. Made with Python and the matplotlib library.
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Is there a good library for creating maps and altering them according to data?
Cartopy is a great lib that has a ton of utilities for those purposes. It is a little bit tricky to use at first but you can get really nice visualizations. I recommend installing it using with a conda env because its dependencies with other libraries.
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[OC] Active Covid-19 cases per Capita in USA. 1/21/2020 - 8/23/2021
- Cartopy: https://github.com/SciTools/cartopy
- Module for projecting flat earth map to full disc
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[OC] Surface wind for the first 3 months of 2005, with a 6 hours timestep
Made with: Cartopy, imageio and good 'ol Matplotlib (all Python libraries)
Apache Superset
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Using KeyCloak(OpenID Connect) with Apache SuperSet
The first difference is that after pull request 4565 was merged, you can no longer do:
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Open Source Analytics Stack: Bringing Control, Flexibility, and Data-Privacy to Your Analytics
Open-source BI platforms such as Metabase (website, GitHub) and Apache SuperSet (website, GitHub) are easy to deploy without IT involvement. Metabase lets you build dashboards from the data in your warehouse easily, with no SQL, or, if you have data engineering or science know-how, inside more powerful and flexible notebooks or with SQL itself. Similarly, Apache SuperSet helps businesses explore and visualize data from simple line charts to detailed geospatial charts.
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Ask HN: What low-code “dashboarding“ SaaS would you recommend in 2021?
Check out Superset. https://github.com/apache/incubator-superset
It’s modern, easy to extend. From the same author of apache airflow.
What are some alternatives?
folium - Python Data. Leaflet.js Maps.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
bokeh - Interactive Data Visualization in the browser, from Python
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
seaborn - Statistical data visualization in Python
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
matplotlib - matplotlib: plotting with Python
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications