pbf
OpenAPI-Specification
Our great sponsors
pbf | OpenAPI-Specification | |
---|---|---|
4 | 44 | |
763 | 28,215 | |
0.9% | 1.1% | |
0.0 | 8.6 | |
over 1 year ago | 7 days ago | |
JavaScript | JavaScript | |
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.
pbf
-
Parquet-WASM: Rust-based WebAssembly bindings to read and write Parquet data
it's been about 3 years, but in Grafana at the time we were using something like ArrowJS + Arrow Flight + protobuf.js and then render the datasets into dashboards on Canvas, especially for streaming at ~20hz.
when i benchmarked the fastest lib to simply convert the protobuf decode (https://github.com/mapbox/pbf), it was 5x slower than native JSON parsing in browsers for dataframe-like structures (e.g. a few dozen 2k-long arrays of floats).
-
Outperform Protobuf.js with fixed-size encoding
does it beat https://github.com/mapbox/pbf ?
-
Protobuf-ES: The Protocol Buffers TypeScript/JavaScript runtime we all deserve
at least in the frontend (without WASM), it depends.
i tested https://github.com/mapbox/pbf and while it was faster for deep/complex structs vs an unoptimized/repetative JSON blob, it was slower at shallow structs and flat arrays of stuff. if you spend a bit of time encode stuff as flat arrays to avoid mem alloc, JSON parsing wins by a lot since it goes through highly optimized C or assembly, while decoding protobuf in the JIT does not.
-
A standalone protobuf to typescript(for deno) code generator
The runtime is taken from mapbox/pbf (with basic type definitions)
OpenAPI-Specification
-
Writing type safe API clients in TypeScript
And I'll be using the OpenAPI Pet Store spec file as an example.
-
Show HN: OpenAPI DevTools – Chrome ext. that generates an API spec as you browse
I saw your sibling comment about "keeping it simple," however that is a bit counter to "generates OpenAPI specifications" since those for sure are not limited to just application/json request/response bodies
I wanted to draw your attention to "normal" POST application/x-www-form-urlencoded <https://github.com/OAI/OpenAPI-Specification/blob/3.1.0/vers...> and its multipart/form-data friend <https://github.com/OAI/OpenAPI-Specification/blob/3.1.0/vers...>
The latter is likely problematic, but the former is in wide use still, including, strangely enough, the AWS API, although some of their newer services do have an application/json protocol
I know that's a lot of words, but the tl;dr would be that if you want your extension to be application/json only, then changing the description to say "OpenAPI specifications for application/json handshakes" would help the consumer be on the same page with your goals
-
How to Connect a FastAPI Server to PostgreSQL and Deploy on GCP Cloud Run
Since FastAPI is based on OpenAPI, at this point you can also use the automatically generated docs. There are multiple options, and two are included by default. Try them out by accessing the following URLs:
-
Write a scalable OpenAPI specification for a Node.js API
This approach requires a constant context switch and is clearly not productive. Here, the OpenAPI Specification can help; you might already have it, but is it scalable? In this article, we’ll learn how to create an OpenAPI Specification document that is readable, scalable, and follows the principle of extension without modifying the existing document.
-
OpenAPI 3.1 - The Gnarly Bits
Phil Sturgeon, who along with Ben Hutton and Henry Andrews from the JSON Schema community, helped drive the push to full JSON Schema Draft 2020-12 compliance, has written a blog post for the official OpenAPIs.org website on how to transition your OAS documents from v3.0.x to v3.1.0.
-
Documenting Node.js API using Swagger
In this article, we will be learning how to document API written in Node.js using a tool called Swagger. Swagger allows you to describe the structure of your APIs so that machines can read them. The ability of APIs to describe their own structure is the root of all awesomeness in Swagger. Why is it so great? Well, by reading our API’s structure, swagger can automatically build beautiful and interactive API documentation. It can also automatically generate client libraries for your API in many languages and explore other possibilities like automated testing. Swagger does this by asking our API to return a YAML or JSON that contains a detailed description of your entire API. This file is essentially a resource listing of our API which adheres to OpenAPI Specifications.
-
Getting started with REST APIs
You may encounter APIs described as RESTful that do not meet these criteria. This is often the result of bottom-up coding, where top-down design should have been used. Another thing to watch out for is the absence of a schema. There are alternatives, but OpenAPI is a common choice with good tools support. If you don't have a schema, you can create one by building a Postman collection.
-
Automatic request validation at the edge with OpenAPI and Fastly
The principle behind the OpenAPI Specification (OAS – the industry’s most popular API specification format) is similar. It’s supposed to act as a blueprint for describing RESTful APIs.
-
How would I describe a webhook, as part of my API collection?
OpenAPI 3.1 supports webhooks. It's not widely supported yet by implementations, but it's definitely there. https://github.com/OAI/OpenAPI-Specification/blob/main/examples/v3.1/webhook-example.yaml
-
Better Fastly API clients with OpenAPI Generator
The Fastly API is huge. We have lots of customers who want to interact with it using their chosen programming language but our small set of manually maintained clients was not sufficient to handle the job of our ever-evolving API. We needed a way to scale up our API client support, and OpenAPI was the answer.
What are some alternatives?
protobuf - Protocol Buffers for JavaScript (& TypeScript).
Cypress - Fast, easy and reliable testing for anything that runs in a browser.
sia - Sia - Binary serialisation and deserialisation
supertest - 🕷 Super-agent driven library for testing node.js HTTP servers using a fluent API. Maintained for @forwardemail, @ladjs, @spamscanner, @breejs, @cabinjs, and @lassjs.
deno-pbf - Deno pbf port of https://github.com/mapbox/pbf
grpc-gateway - gRPC to JSON proxy generator following the gRPC HTTP spec
osm - Open Service Mesh (OSM) is a lightweight, extensible, cloud native service mesh that allows users to uniformly manage, secure, and get out-of-the-box observability features for highly dynamic microservice environments.
api-guidelines - Microsoft REST API Guidelines
fast-encoding - Fast, cross-platform, small and easy-to-use base64 and hex encoding.
google.aip.dev - API Improvement Proposals. https://aip.dev/
img-encode - Encode an image to sound and view it as a spectrogram - turn your images into music
swagger-tools - A Node.js and browser module that provides tooling around Swagger.