ubicloud
Altair
| ubicloud | Altair | |
|---|---|---|
| 16 | 43 | |
| 3,065 | 8,946 | |
| 3.9% | 1.1% | |
| 9.9 | 9.0 | |
| 5 days ago | 7 days ago | |
| Ruby | Python | |
| GNU Affero General Public License v3.0 | BSD 3-clause "New" or "Revised" 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.
ubicloud
- FLaNK AI for 11 March 2024
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Show HN: Open-source x64 and Arm GitHub runners. Reduces GitHub Actions bill 10x
The docs still say the Elastic license is used but looking at https://github.com/ubicloud/ubicloud/blob/main/LICENSE it looks like the project might have switched to GNU Affero General Public License v3.0 in the last day.
- GitHub - ubicloud/ubicloud: Open, free, and portable cloud. Elastic compute, block storage (non replicated), and virtual networking services in public alpha.
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Ask HN: How does your company balance test coverage and deploy speed?
At Ubicloud, we have 100% line and branch coverage that is mandated on every PR (https://github.com/ubicloud/ubicloud). We also have an E2E test suite that we run periodically and with every commit. We did not really feel like our tests are slowing us down, it actually makes us faster since we have a higher trust to the payload and many manual checks that would need to be done is safely skipped.
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Ubicloud – open, free and portable cloud
> Taken from here: https://ubicloud.com/
Am I the only one getting a certificate error browsing there?
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Ask HN: Thoughts about Elastic V2, SSPL, or mixed software licenses?
Link to our project: https://github.com/ubicloud/ubicloud
We’re choosing Elastic V2 for three reasons: (1) We’re planning to monetize through a managed service and we’d like the license to support that, (2) Later if we change our mind, we think it’s easier on our users if we go from a restrictive license to a more permissive one, and (3) The Elastic V2 license is much simpler than its cousin, Server Side Public License (SSPL).
That said, Elastic V2 is a new license and doesn’t seem to as popular as SSPL. Also, some projects out there mix and match multiple licenses in their repo to be able to call themselves open source.
Any insights / feedback on Elastic V2 or software licenses in general?
- Attribute-Based Access Control (ABAC) Implementation in 130 Lines of Code
Altair
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Ask HN: What's the best charting library for customer-facing dashboards?
I like Vega-Lite: https://vega.github.io/vega-lite/
It’s built by folks from the same lab as D3, but designed as “a higher-level visual specification language on top of D3” [https://vega.github.io/vega/about/vega-and-d3/]
My favorite way to prototype a dashboard is to use Streamlit to lay things out and serve it and then use Altair [https://altair-viz.github.io/] to generate the Vega-Lite plots in Python. Then if you need to move to something besides Python to productionize, you can produce the same Vega-Lite definitions using the framework of your choice.
- FLaNK AI Weekly 18 March 2024
- FLaNK AI for 11 March 2024
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Vega-Altair: Declarative Visualization in Python
Feel free to open an issue to let us know which parts of the documentation you find obscure and if you have suggestions for how to improve them. We did a larger overhaul a few months back and are always open to feedback on how to improve it further! https://altair-viz.github.io/
(disclaimer: I'm a co-maintainer of Altair)
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Gnuplotlib: Non-Painful Plotting for NumPy
Vega-Altair is pretty great as well. It uses a grammar of graphics that’s slightly different from ggplot, but has most of the same advantages.
https://altair-viz.github.io/
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Altair - Declarative statistical visualization library for Python.
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Top 10 growing data visualization libraries in Python in 2023
Github: Altair
- What python library you are using for interactive visualisation?(other than plotly)
- Libs para gráficos
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If you had to pick a library from another language (Rust, JS, etc.) that isn’t currently available in Python and have it instantly converted into Python for you to use, what would it be?
Yeah, that's one of the main reasons I like altair. It has 10M downloads per month and the newest Git update is from two days ago.
What are some alternatives?
manageiq - ManageIQ Open-Source Management Platform
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
fog-azure-rm - Fog for Azure Resource Manager
bokeh - Interactive Data Visualization in the browser, from Python
cloudfront-signer - Ruby gem for signing AWS CloudFront private content URLs and streaming paths.
seaborn - Statistical data visualization in Python
AWS SDK for Ruby - The official AWS SDK for Ruby.
ggplot - ggplot port for python
forem - For empowering community 🌱
plotnine - A Grammar of Graphics for Python
homebrew-portable-ruby - 🚗 Versions of Ruby that can be installed and run from anywhere on the filesystem.
matplotlib - matplotlib: plotting with Python