DiskCache
fastapi
DiskCache | fastapi | |
---|---|---|
6 | 468 | |
2,169 | 71,023 | |
- | - | |
4.5 | 9.8 | |
18 days ago | 6 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT 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.
DiskCache
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This Week In Python
python-diskcache – disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python
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Making a Password Manager, Should I Use MySQL or SQLite 3?
Based on your question about SQLite, it seems like you want to store the database inside of the program as opposed to on the internet. Furthermore, your data doesn't seem to be super relational to my knowledge. You might be better off using something like diskcache to store the data instead.
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How I setup a sqlite cache in python
Give Grant some love and give grantjenks/python-diskcache a ⭐.
- What new in Starlite 1.1
- tqdm (Python)
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Need help with an OD indexer that I am writing in Python
Do you know this project which covers most your needs ? http://www.grantjenks.com/docs/diskcache/
fastapi
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Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.
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FastAPI Best Practices: A Condensed Guide with Examples
FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.
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Building an Email Assistant Application with Burr
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.
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FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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Litestar – powerful, flexible, and highly performant Python ASGI framework
It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if you’re using sync routes.
If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
- Ask HN: What is your go-to stack for the web?
What are some alternatives?
cachetools - Extensible memoizing collections and decorators
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Beaker - WSGI middleware for sessions and caching
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
flask-cache-redis - :fire: Implementation of API Caching with Flask, Redis and Docker
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
python-diskcache - Persistent dict, backed by sqlite3 and pickle, multithread-safe.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
dogpile.cache
Flask - The Python micro framework for building web applications.
HermesCache
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.