Skip to main content

High Performance HTTP Requests Library

Project description

Fiberhttp

Fiberhttp is for high-performance library

Supported Versions

The benchmarks folder contains comparisons between Fiberhttp and other well-known libraries such as requests, httpx, http.client, and others. You will notice that Fiberhttp outperforms them every time

Fiberhttp might not for you

Fiberhttp is designed to provide high performance but lacks many features like:

missing Features:

  • No support for handling file
  • No support for SOCKS proxies
  • No support for streaming requests

If these features are important to you, and you value compatibility and functionality over performance, then the requests library might be a better choice for you.

Features:

  • Keep-alive (socket connection)
  • Build bytes request before send the request
  • Create socket connection with server before send the request
  • High-performance SSL/TLS handshake, verify
  • Reading responses in various formats such as JSON, headers, and cookies

How to use

install Fiberhttp (supported all os systems)

pip install fiberhttp

with client session

import fiberhttp

# create client session with timeout
# ! timeout not requierd
cn = fiberhttp.client(timeout=10)

# send get request
res = cn.get('https://httpbin.org/ip')

status_code = res.status_code()
body = res.text()
headers = res.headers()['Date']
json = res.json()['origin']

without client session

import fiberhttp

# send request without create client
response = fiberhttp.get('https://httpbin.org/ip')

with proxies

import fiberhttp

# create client proxy
cn = fiberhttp.client_proxy('http://20.111.54.16:8123')

# send request after the proxy in the client session
response = cn.get('https://httpbin.org/ip').json()['origin']
print(response)

use build request for high performance

import fiberhttp

cn = fiberhttp.client()

# build request with this format
request = fiberhttp.build('GET', 'httpbin.org', '/ip')

# send request after build it
response = cn.send('httpbin.org', request).json()

create connection with host before send request to reduce response time

import fiberhttp

cn = fiberhttp.client()

request = fiberhttp.build('GET', 'httpbin.org', '/ip')
cn.connect('httpbin.org')

response = cn.send('httpbin.org', request).text()
print(response)

use build, create connection with proxies

import fiberhttp

cn = fiberhttp.client_proxy('http://username:password@host:port')

# if the proxy has authentication, you must include the proxy_auth argument, which can be obtained from the client
request = fiberhttp.build_proxy('GET', 'httpbin.org', '/ip', proxy_auth=cn.proxy_auth)

# connect befor send not required; but its better for high peformance
cn.connect('httpbin.org')

response = cn.send('httpbin.org', request).text()
print(response)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fiberhttp-3.0.tar.gz (11.3 kB view details)

Uploaded Source

Built Distribution

fiberhttp-3.0-py3-none-any.whl (12.1 kB view details)

Uploaded Python 3

File details

Details for the file fiberhttp-3.0.tar.gz.

File metadata

  • Download URL: fiberhttp-3.0.tar.gz
  • Upload date:
  • Size: 11.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for fiberhttp-3.0.tar.gz
Algorithm Hash digest
SHA256 808c05888f050bcb62bb45fcadb08ba9c1fa784c246ffed76012c93ba456dd01
MD5 b3ea752702949a9615e911dfa02675e6
BLAKE2b-256 e0352ae0acf1c520c8884a21bbc74a4bf6064ebe68e17ef035e47d2eb6532f40

See more details on using hashes here.

File details

Details for the file fiberhttp-3.0-py3-none-any.whl.

File metadata

  • Download URL: fiberhttp-3.0-py3-none-any.whl
  • Upload date:
  • Size: 12.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for fiberhttp-3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9f8a7d25cfba0acbdf82ad048c20a2e91627d977a4bbc6418349d4062d31c7bf
MD5 c6c897c9f734f47a97d13e5ae3190811
BLAKE2b-256 0d3c77ee8287709540a8059075b3ce50a7ab54040d417179ef3c0cd4df5ff21c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page