static-frame
openapi-generator
static-frame | openapi-generator | |
---|---|---|
8 | 234 | |
406 | 19,945 | |
1.0% | 1.9% | |
9.9 | 9.9 | |
about 22 hours ago | about 10 hours ago | |
Python | Java | |
GNU General Public License v3.0 or later | 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.
static-frame
- Static-frame: Immutable/statically-typed DataFrames with runtime type validation
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Type-Hinting DataFrames for Static Analysis and Runtime Validation
This is inadequate, as it ignores the types contained within the container. A DataFrame might have string column labels and three columns of integer, string, and floating-point values; these characteristics define the type. A function argument with such type hints provides developers, static analyzers, and runtime checkers with all the information needed to understand the expectations of the interface. StaticFrame 2 now permits this:
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Memoizing DataFrame Functions: Using Hashable DataFrames and Message Digests to Optimize Repeated Calculations
StaticFrame is an alternative DataFrame library that offers efficient solutions to this problem, both for in-memory and disk-based memoization.
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The Performance Advantage of No-Copy DataFrame Operations
A NumPy array is a Python object that stores data in a contiguous C-array buffer. The excellent performance of these arrays comes not only from this compact representation, but also from the ability of arrays to share "views" of that buffer among many arrays. NumPy makes frequent use of "no-copy" array operations, producing derived arrays without copying underling data buffers. By taking full advantage of NumPy's efficiency, the StaticFrame DataFrame library offers orders-of-magnitude better performance than Pandas for many common operations.
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Which not so well known Python packages do you like to use on a regular basis and why?
static-frame. An immutable alternative to pandas.
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One Fill Value Is Not Enough: Preserving Columnar Types When Reindexing DataFrames
StaticFrame is an immutable DataFrame library that offers solutions to such problems. In StaticFrame, alternative fill value representations can be used to preserve columnar types in reindexing, shifting, and many other operations that require fill_value arguments. For operations on heterogeneously typed columnar data, one fill value is simply not enough.
- static-frame: Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.
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Bug Sur 11.4 stuttering issues on RX 6800
For me, one example of high cpu usage is when i visit links like this one (https://github.com/InvestmentSystems/static-frame/blob/master/static_frame/performance/core.py) on GitHub. Safari is extremely laggy when i do nothing more than just scrolling around. Do you have sth like this?
openapi-generator
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The Stainless SDK Generator
Disclaimer: We're an early adopter of Stainless at Mux.
I've spent more of my time than I'd like to admit managing both OpenAPi spec files [1] and fighting with openapi-generator [2] than any sane person should have to. While it's great having the freedom to change the templates an thus generated SDKs you get with using that sort of approach, it's also super time consuming, and when you have a lot of SDKs (we have 6 generated SDKs), in my experience it needs someone devoted to managing the process, staying up with template changes etc.
Excited to see more SDK languages come to Stainless!
[1] https://www.mux.com/blog/an-adventure-in-openapi-v3-api-code...
[2] https://github.com/OpenAPITools/openapi-generator
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FastAPI Got Me an OpenAPI Spec Really... Fast
As a result, the following specification can be used to generate clients in a number of different languages via OpenAPI Generator.
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Show HN: Manage on-prem servers from my smartphone
Of course you can compile the server from source if you have Go and the OpenAPI generator JAR (https://github.com/OpenAPITools/openapi-generator?tab=readme...)
Follow these steps : https://github.com/c100k/rebootx-on-prem/blob/master/.github...
And then :
(cd ./impl/http-server-go && GOARCH=amd64 GOOS=openbsd go build -o /app/rebootx-on-prem-http-server-go-openbsd-amd64 -v)
By adapting the arch if needed. Not tested, but it should work.
- OpenAPI Generator v7.3.0 has new generators for Rust, Kotlin, Scala and Java
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Stop creating HTTP clients manually - Part I
TL;DR: Start generating your HTTP clients and all the DTOs of the requests and responses automatically from your API, using openapi-generator instead of writing your own.
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How to Automatically Consume RESTful APIs in Your Frontend
As an alternative, you can also use the official OpenAPI Generator, which is a more generic tool supporting a wide range of languages and frameworks.
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Building a world-class suite of SDKs is easy with Speakeasy
I trialed generating SDKs using the OpenAPI Generator package, which was largely unsatisfactory.
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Best way to implement base class for API calls?
If Swagger/OpenAPI is available, save yourself a lot of trouble and generate the client using OpenAPI Generator. If not, use a library like RestEase to make it significantly easier to create the client.
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Sharing EF data access project DLL vs NuGet vs ?
For a run of the mill REST API you should generate OpenAPI (Swagger) info for the API using a library like NSwag or Swashbuckle. You'd want to do this no matter what because it's documentation for the API, but the bonus is that you can use it with tools like OpenAPI Generator to create API client code and models in a variety of languages. You certainly can create an API client library manually, it would entail having a nuget package with a class library that contains the models and client code for calling the endpoints (which I'd create using a lib such as RestEase unless you just enjoy writing boilerplate code by hand). However 95% of the time it simply isn't worth creating your own lib when OpenAPI is available because once you've done it a time or two it takes less than 5 min to run the generator and create (or update) a lib.
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Created an API using Gin, want to create sdk for him
Then you can use oapi-codegen or openapi-generator to generate the Go (or other language) SDK for it.
What are some alternatives?
pandas-ta - Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
NSwag - The Swagger/OpenAPI toolchain for .NET, ASP.NET Core and TypeScript.
pandastable - Table analysis in Tkinter using pandas DataFrames.
oapi-codegen - Generate Go client and server boilerplate from OpenAPI 3 specifications
python-lenses - A python lens library for manipulating deeply nested immutable structures
SvelteKit - web development, streamlined
bidict - The bidirectional mapping library for Python.
smithy - Smithy is a protocol-agnostic interface definition language and set of tools for generating clients, servers, and documentation for any programming language.
bambi - BAyesian Model-Building Interface (Bambi) in Python.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
rubygems - Library packaging and distribution for Ruby.
autorest - OpenAPI (f.k.a Swagger) Specification code generator. Supports C#, PowerShell, Go, Java, Node.js, TypeScript, Python