requests-futures
Asynchronous Python HTTP Requests for Humans using Futures (by ross)
requests-threads
🎠Twisted Deferred Thread backend for Requests. (by requests)
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requests-futures | requests-threads | |
---|---|---|
8 | 4 | |
2,086 | 415 | |
- | 0.2% | |
6.0 | 0.0 | |
3 days ago | almost 5 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | - |
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.
requests-futures
Posts with mentions or reviews of requests-futures.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-16.
-
Is MQ needed for sending many texts?
- https://github.com/ross/requests-futures
-
Sending events or notifications from Django
For the simple one-off case, check out requests-futures or requests-threads
-
How to make requests.get() faster?
Thank you, I didn’t know about this before. Looks like either requests-threads or requests-futures can do the job. Not sure how I can add async and await to the script above, I’ll tinker around with it later!
-
Best way to run parallel async http requests
I found examples of running parallel async http requests using grequests, but in its GitHub page it recommends using requests-threads or requests-futures instead. Which of them would be the most straightforward tool for optimizing a sequence of GET requests against an API. Case scenario: API endpoint provides paginated responses. With first response, I get the total of itens, which allow me to prepare all the remaining urls. The API allows for 25 simultaneous requests from a single user session (JWT token).
requests-threads
Posts with mentions or reviews of requests-threads.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-16.
-
Is MQ needed for sending many texts?
- https://github.com/requests/requests-threads
-
Sending events or notifications from Django
For the simple one-off case, check out requests-futures or requests-threads
-
How to make requests.get() faster?
Thank you, I didn’t know about this before. Looks like either requests-threads or requests-futures can do the job. Not sure how I can add async and await to the script above, I’ll tinker around with it later!
-
Best way to run parallel async http requests
I found examples of running parallel async http requests using grequests, but in its GitHub page it recommends using requests-threads or requests-futures instead. Which of them would be the most straightforward tool for optimizing a sequence of GET requests against an API. Case scenario: API endpoint provides paginated responses. With first response, I get the total of itens, which allow me to prepare all the remaining urls. The API allows for 25 simultaneous requests from a single user session (JWT token).
What are some alternatives?
When comparing requests-futures and requests-threads you can also consider the following projects:
grequests - Requests + Gevent = <3
requests - A simple, yet elegant, HTTP library.
urllib3 - urllib3 is a user-friendly HTTP client library for Python
Tapioca-Wrapper - Python API client generator
Uplink - A Declarative HTTP Client for Python
Doublify API Toolkit
kiss-headers - Python package for HTTP/1.1 style headers. Parse headers to objects. Most advanced available structure for http headers.
Bearer Python
jasmin - Jasmin - Open source SMS gateway
FGrequests - Fastest python library for making asynchronous group requests.
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.