oasdiff
Altair
oasdiff | Altair | |
---|---|---|
12 | 43 | |
587 | 8,946 | |
5.3% | 1.1% | |
9.2 | 9.0 | |
5 days ago | 6 days ago | |
Go | Python | |
Apache License 2.0 | 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.
oasdiff
- FLaNK AI for 11 March 2024
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Serverless APIs: Auto-Generate OpenAPI Docs & CI/CD Protections
We will use an open-source GitHub action, oasdiff-action, based on the tool ‘oasdiff.’
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How Can You Achieve Continuous Deployment for *APIs*?
Nice, Have you come across this tool oasdiff from the article? It may help with detect API breaking changes in swagger
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How to prevent breaking API changes with API Gateway
While you might wish that pull request reviewers would spot any breaking changes, relying solely on this method is not certain and might lead to failure eventually. If you have OpenAPI/Swagger documentation for your APIs, these can be version-controlled and included in a CI pipeline. APISIX doesn't natively support direct integration with version control systems like Git for API specification changes. However, you can set up a process outside APISIX. Tools like Oasdiff or Bump can identify changes in API specs, and trigger a CI pipeline (add GitHub Action) that runs tests against the route endpoints in APISIX to ensure no breaking changes are introduced.
- Would you like to be notified when your API provider makes a breaking change?
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Testing for Breaking Changes in Fastify APIs
Now that we have a way to lookup our API’s behavior with Git, we can start testing for breaking changes between versions of our API. We’ll be using Optic (an open source tool I created) to do just that. If you are looking for other options I recommend https://github.com/OpenAPITools/openapi-diff or https://github.com/Tufin/oasdiff.
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Ask HN: Non-Breaking API deprecation in OpenAPI spec – what do you think?
2. Delete the API at the sunset date or later
People seem to want such a process in order to prevent breaking-changes.
I wrote a diff tool for OpenAPI spec which supports detection of breaking-changes and I recently extended it to support this process and a bit more.
Now I'm looking for feedback.
Proposed Solution (currently in Beta): https://github.com/Tufin/oasdiff#non-breaking-removal-of-deprecated-resources
Related requests:
- A diff tool and Go module for OpenAPI Specification
- OpenAPI Diff
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?
openapi-preprocessor - An authoring tool for OpenAPI specifications
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
apiclarity - An API security tool to capture and analyze API traffic, test API endpoints, reconstruct Open API specification, and identify API security risks.
bokeh - Interactive Data Visualization in the browser, from Python
openapi-diff - Utility for comparing two OpenAPI specifications.
seaborn - Statistical data visualization in Python
openapi-generator-go - An opinionated OpenAPI v3 code generator for Go. Use this to generate API models and router scaffolding.
ggplot - ggplot port for python
api-firewall - Fast and light-weight API proxy firewall for request and response validation by OpenAPI specs.
plotnine - A Grammar of Graphics for Python
Optic - OpenAPI linting, diffing and testing. Optic helps prevent breaking changes, publish accurate documentation and improve the design of your APIs.
matplotlib - matplotlib: plotting with Python