Why Developers Choose the 22 Most Downloaded Python Packages
This article examines the 22 Python packages with the highest download counts on PyPI, explaining their functionality, popularity, and interdependencies, and provides practical code examples and usage tips, helping developers understand which libraries dominate the ecosystem and how they can be leveraged in real‑world projects.
Introduction
The following list starts from the most downloaded Python packages on PyPI over the past year, explores their purposes, relationships, and why they are so popular among developers worldwide.
1. urllib3
Downloads: 893 million urllib3 is an HTTP client that adds many features missing from the Python standard library, such as thread safety, connection pooling, SSL/TLS verification, chunked transfer encoding, retry helpers, gzip/deflate support, and HTTP/SOCKS proxy support.
Despite its name, urllib3 is not a successor to urllib2; for core functionality use urllib.request.
For most end‑users, the requests package (see entry #6) is recommended because it depends on urllib3 and provides a simpler API.
2. six
Downloads: 732 million six is a compatibility library for writing code that runs on both Python 2 and Python 3. It offers helper functions that smooth over syntax differences, e.g., six.print_() works on both versions.
The name comes from 2 × 3 = 6.
See also the future package for similar functionality.
For pure Python 3 code, use 2to3 to migrate.
3. botocore, boto3, s3transfer, awscli
These four projects are tightly related:
botocore (660 million downloads) – low‑level AWS interface.
s3transfer (584 million downloads) – manages Amazon S3 transfers.
awscli (394 million downloads) – command‑line interface built on botocore.
boto3 (329 million downloads) – high‑level AWS SDK built on botocore.
Botocore underpins Boto3 and the AWS CLI, illustrating AWS’s dominance in the Python ecosystem.
4. pip
Downloads: 627 million pip ("Pip Installs Packages") is the standard Python package installer. It can install packages from PyPI, private indexes, or local mirrors.
Install: pip install <package> Uninstall: pip uninstall <package> Export requirements: pip freeze > requirements.txt Works well with virtualenv to create isolated environments.
5. python-dateutil
Downloads: 617 million
The python-dateutil module extends the standard datetime library with powerful parsing, relative deltas, and timezone handling.
Example of fuzzy date parsing:
from dateutil.parser import parse
logline = 'INFO 2020-01-01T00:00:01 Happy new year, human.'
timestamp = parse(logline, fuzzy=True)
print(timestamp) # 2020-01-01 00:00:016. requests
Downloads: 611 million
Built on top of urllib3, requests makes HTTP requests extremely simple.
import requests
r = requests.get('https://api.github.com/user', auth=('user', 'pass'))
print(r.status_code) # 200
print(r.headers['content-type']) # application/json; charset=utf8
print(r.text)
print(r.json())7. s3transfer
Downloads: 370 million
Provides the transfer manager used by boto3 and the AWS CLI. Its API may change between minor versions, so it is usually used indirectly via higher‑level libraries.
8. certifi
Downloads: 552 million certifi supplies a curated collection of root SSL certificates, allowing Python code to verify HTTPS connections just like modern browsers.
9. idna
Downloads: 527 million
Implements the Internationalized Domain Name (IDNA) protocol defined in RFC 5891, providing idna.encode() and idna.decode() for converting Unicode domain names to ASCII punycode and back.
import idna
print(idna.encode('ドメイン.テスト')) # b'xn--eckwd4c7c.xn--zckzah'
print(idna.decode('xn--eckwd4c7c.xn--zckzah')) # ドメイン.テスト10. PyYAML
Downloads: 525 million
YAML is a human‑readable data serialization format. PyYAML parses and emits YAML, supporting complex Python objects.
11. pyasn1
Downloads: 512 million
Pure‑Python implementation of ASN.1 types and DER/BER/CER encoding, used by many security‑related packages (e.g., certifi).
12. docutils
Downloads: 508 million
Modular system for converting plain text (reStructuredText) into formats like HTML, XML, and LaTeX. It powers the Python documentation and Sphinx.
13. chardet
Downloads: 501 million
Detects the character encoding of byte streams. It is a dependency of requests and many other packages.
chardetect somefile.txt
# ascii with confidence 1.014. rsa
Downloads: 492 million
Pure‑Python RSA implementation supporting encryption/decryption, signing/verification, and PKCS#1 v1.5 key generation.
import rsa
(bob_pub, bob_priv) = rsa.newkeys(512)
crypto = rsa.encrypt('hello Bob!', bob_pub)
message = rsa.decrypt(crypto, bob_priv)
print(message.decode('utf8')) # hello Bob!15. jmespath
Downloads: 473 million
Provides a declarative way to extract data from JSON structures.
import jmespath
d = {"foo": {"bar": "baz"}}
print(jmespath.search('foo.bar', d)) # baz
d = {"foo": {"bar": [{"name": "one"}, {"name": "two"}]}}
print(jmespath.search('foo.bar[*].name', d)) # ['one', 'two']16. setuptools
Downloads: 401 million
Tool for creating and distributing Python packages. Documentation can be found at packaging.python.org .
17. awscli
Part of the AWS‑related group (see #3, #7, #22).
18. pytz
Downloads: 394 million
Provides accurate and cross‑platform timezone definitions.
from datetime import datetime
from pytz import timezone
amsterdam = timezone('Europe/Amsterdam')
ams_time = amsterdam.localize(datetime(2002, 10, 27, 6, 0, 0))
print(ams_time) # 2002-10-27 06:00:00+01:0019. futures
Downloads: 389 million
Backport of the concurrent.futures module for Python 2. Provides a simple thread‑pool interface.
from concurrent.futures import ThreadPoolExecutor
from time import sleep
def return_after_5_secs(msg):
sleep(5)
return msg
pool = ThreadPoolExecutor(3)
future = pool.submit(return_after_5_secs, "Hello world")
print(future.done()) # False
sleep(5)
print(future.done()) # True
print(future.result()) # Hello world20. colorama
Downloads: 370 million
Adds cross‑platform colored terminal text.
from colorama import Fore, Back, Style
print(Fore.RED + 'some red text')
print(Back.GREEN + 'and with a green background')
print(Style.DIM + 'and in dim text')
print(Style.RESET_ALL)
print('back to normal now')21. simplejson
Downloads: 341 million
A faster, more feature‑rich drop‑in replacement for the built‑in json module, with optional C acceleration.
22. boto3
Part of the AWS‑related group (see #3, #7, #17).
Conclusion
The top 22 packages reveal several themes: many provide core functionality such as time handling, configuration, encryption, and networking; most are heavily depended upon by other projects; and a few serve as tooling for packaging, documentation, and compatibility. Understanding these libraries helps developers make informed choices when building Python applications.
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