requests-threads
grequests
Our great sponsors
- InfluxDB - Access the most powerful time series database as a service
- CodiumAI - TestGPT | Generating meaningful tests for busy devs
- Sonar - Write Clean Python Code. Always.
- ONLYOFFICE ONLYOFFICE Docs — document collaboration in your environment
| requests-threads | grequests | |
|---|---|---|
| 4 | 6 | |
| 411 | 4,234 | |
| 1.0% | - | |
| 0.0 | 0.0 | |
| about 4 years ago | 5 months ago | |
| Python | Python | |
| - | BSD 3-clause "New" or "Revised" 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.
requests-threads
-
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).
grequests
-
How can I speed up python requests?
grequests https://github.com/spyoungtech/grequests
-
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?
requests - A simple, yet elegant, HTTP library.
requests-futures - Asynchronous Python HTTP Requests for Humans using Futures
urllib3 - urllib3 is a user-friendly HTTP client library for Python
FGrequests - Fastest python library for making asynchronous group requests.
jasmin - Jasmin - Open source SMS gateway
Uplink - A Declarative HTTP Client for Python
Doublify API Toolkit
treq - Python requests like API built on top of Twisted's HTTP client.
txrequests - Asynchronous Python HTTP Requests for Humans using twisted
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.
AnyAPI - AnyAPI is a library that helps you to write any API wrapper with ease and in pythonic way.
Tapioca-Wrapper - Python API client generator