smart_open
Utils for streaming large files (S3, HDFS, gzip, bz2...) (by piskvorky)
requests
A simple, yet elegant, HTTP library. (by psf)
| smart_open | requests | |
|---|---|---|
| 6 | 87 | |
| 3,091 | 51,359 | |
| 0.7% | 0.2% | |
| 8.3 | 8.4 | |
| 12 days ago | 8 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
smart_open
Posts with mentions or reviews of smart_open.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-29.
- smart_open: Utils for streaming large files (S3, HDFS, gzip, bz2...)
-
Use AWS to unzip all of Wikipedia in 10 minutes
We’re using smart_open, which is an amazing library that lets you open objects in S3 (and other cloud object stores) as if they’re files on your filesystem. It’s obviously critical that we’re able to seek to an arbitrary position in an S3 file without first downloading the whole thing. We’ll assume you’re using Poetry, but you should be able to follow along with any other package manager:
-
Using AWS and Hyperscan to match regular expressions on 100GB of text
If you didn’t follow along with the first article in this series, you should be able to follow this article with your own dataset as long as you install smart_open and Meadowrun. smart_open is an amazing library that lets you open objects in S3 (and other cloud object stores) as if they’re files on your filesystem, and Meadowrun makes it easy to run your Python code on the cloud.
-
Ask HN: Codebases with great, easy to read code?
I see that you're primarily looking into Python work, so I'd recommend `smart_open` as a nice, compact way to get started.
https://github.com/RaRe-Technologies/smart_open
-
How to open an s3 binary file in lambda using python open() function?
You want smart_open. It gives you a (more complete) file-like interface to many different storage systems, including s3. You can read and seek as needed.
-
Fsspec: Filesystem Interfaces for Python
See also smart_open: https://github.com/RaRe-Technologies/smart_open which might be more user-friendly? Never used it myself but it was on HN before. Discussion on their bugtracker: https://github.com/RaRe-Technologies/smart_open/issues/579
requests
Posts with mentions or reviews of requests.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-02.
-
Revived the promise made six years ago for Requests 3
For many years now, Requests has been frozen. Being left in a vegetative state and not evolving, this blocked millions of developers from using more advanced features.
-
Ask HN: Is Python async/await some kind of joke?
- Ubiquitous “requests” library used in most docs examples, no async support https://github.com/psf/requests
-
10 Github repositories to achieve Python mastery
Explore here.
-
urllib3 v2.0.0 is now generally available!
It's Lukasa (his name is Cory, there's Łukasz in PSF though, but that's a different person). Looking at him, he made significant contributions to the requests repo: https://github.com/psf/requests/graphs/contributors
- I built a chatbot that lets you talk to any Github repository
-
I Could Rewrite Curl
> I'd love to see the look on some of these people's faces when they find out that tool/software/whatever they use is actually using libcurl under the hood.
Python dependencies (does not include curl)
https://devguide.python.org/getting-started/setup-building/i...
The "requests" module in Python (does not use curl)
https://github.com/psf/requests
-
Development environment for the Python requests package
This part can be found in the README of the GitHub repository.
-
Trying to install autoscan from https://github.com/NiNiyas/autoscan and stuck with no idea what the problem is.
Looking around for similar errors I found this issue where they recommended trying to use a newer version of the urllib3 library.
-
Pain when going back to other languages
but I appreciate the fact that there is an issue about it, it's acknowledged and .. unfixable, it would now break too many things https://github.com/psf/requests/issues/2002
-
How do you decide when to keep a project in a single python file vs break it up into multiple files?
The requests package has been the golden standard for package structure for as long as I can remember.
What are some alternatives?
When comparing smart_open and requests you can also consider the following projects:
s3fs - Amazon S3 filesystem for PyFilesystem2
urllib3 - urllib3 is a user-friendly HTTP client library for Python
Streamz - Real-time stream processing for python
httplib2 - Small, fast HTTP client library for Python. Features persistent connections, cache, and Google App Engine support. Originally written by Joe Gregorio, now supported by community.
s3path - s3path is a pathlib extension for AWS S3 Service
grequests - Requests + Gevent = <3
PyFilesystem2 - Python's Filesystem abstraction layer
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
rxsci - ReactiveX for data science
treq - Python requests like API built on top of Twisted's HTTP client.
fluvio-client-python - The Fluvio Python Client!
Uplink - A Declarative HTTP Client for Python