Upgrade python packages from requirements.txt using pip command

Question

How do I upgrade all my python packages from requirements.txt file using pip command?

tried with below command

$ pip install --upgrade -r requirements.txt

Since, the python packages are suffixed with the version number (Django==1.5.1) they don't seem to upgrade. Is there any better approach than manually editing requirements.txt file?

EDIT

As Andy mentioned in his answer packages are pinned to a specific version, hence it is not possible to upgrade packages through pip command.

But, we can achieve this with pip-tools using the following command.

$ pip-review --auto

this will automatically upgrade all packages from requirements.txt (make sure to install pip-tools using pip install command).

Answer 1

I already answered this question here. Here's my solution:

Because there was no easy way for upgrading package by package, and updating the requirements.txt file, I wrote this pip-upgrader which also updates the versions in your requirements.txt file for the packages chosen (or all packages).

Installation

pip install pip-upgrader

Usage

Activate your virtualenv (important, because it will also install the new versions of upgraded packages in current virtualenv).

cd into your project directory, then run:

pip-upgrade

Advanced usage

If the requirements are placed in a non-standard location, send them as arguments:

pip-upgrade path/to/requirements.txt

If you already know what package you want to upgrade, simply send them as arguments:

pip-upgrade -p django -p celery -p dateutil

If you need to upgrade to pre-release / post-release version, add --prerelease argument to your command.

Full disclosure: I wrote this package.

Answer 2

you can try:

pip install --upgrade --force-reinstall -r requirements.txt

You can also ignore installed package and install the new one :

pip install --ignore-installed -r requirements.txt

Answer 3

No. Your requirements file has been pinned to specific versions. If your requirements are set to that version, you should not be trying to upgrade beyond those versions. If you need to upgrade, then you need to switch to unpinned versions in your requirements file.

Example:

lxml>=2.2.0

This would upgrade lxml to any version newer than 2.2.0

lxml>=2.2.0,<2.3.0

This would upgrade lxml to the most recent version between 2.2.0 and 2.3.0.

Answer 4

I suggest freezing all of your dependencies in order to have predictable builds.

When doing that, you can update all dependencies at once like this:

sed -i '' 's/[~=]=/>=/' requirements.txt
pip install -U -r requirements.txt
pip freeze | sed 's/==/~=/' > requirements.txt

Having done the above, test your project with the new set of packages and eventually commit the requirements.txt file to the repository while still allowing for installing hot-fixes.

Answer 5

Another solution is to use the upgrade-requirements package

pip install upgrade-requirements

And then run :

upgrade-requirements

It will upgrade all the packages that are not at their latest versions, and also create an updated requirements.txt at the end.

Answer 6

Fixing dependencies to a specific version is the recommended practice.

Here's another solution using pur to keep the dependencies fresh!

Give pur your requirements.txt file and it will auto update all your high-level packages to the latest versions, keeping your original formatting and comments in-place.

For example, running pur on the example requirements.txt updates the packages to the currently available latest versions:

$ pur -r requirements.txt
Updated flask: 0.9 -> 0.10.1
Updated sqlalchemy: 0.9.10 -> 1.0.12
Updated alembic: 0.8.4 -> 0.8.6
All requirements up-to-date.

As pur never modifies your environment or installed packages, it's extremely fast and you can safely run it without fear of corrupting your local virtual environment. Pur separates updating your requirements.txt file from installing the updates. So you can use pur, then install the updates in separate steps.

Answer 7

You can use below command on Linux and Mac:

cat requirements.txt | cut -f1 -d= | xargs pip install -U

Answer 8

I've just had to do the same... used this small one-liner to do the job:

packages=$(cat requirements.txt | sed 's/==.*//g'); echo $packages | xargs pip3 install -U; freeze=$(pip3 freeze); for p in $(echo $packages); do echo $freeze | grep -E "^${p}==" >> requirements.new; done

which:

• packages=$(cat requirements.txt | sed 's/==.*//g') creates a list of the current packages names in requirements.txt (removing the version).
• echo $packages | xargs pip3 install -U then passes all of the packages as arguments to pip3 to upgrade.
• freeze=$(pip3 freeze); Gets all of the current package versions in the format required for requirements.txt
• for p in $(echo $packages) then iterates through the package names
  • echo $freeze | grep -E "^${p}==" >> requirements.new gets the package version line from the pip freeze output which matches the package and writes to new requirements.txt

This has the added benefit of preserving the ordering of the original requirements.txt. :)

Hope this helps!

Answer 9

The second answer is the most useful but what I wanted to do is lock some packages while having others at the latest version (e.g. youtube-dl).

An example requirements.txt would look like this (~ means compatible):

Pillow==6.2.2
requests~=2.22.0
youtube_dl

Then in the terminal, use the command pip install --upgrade -r requirements.txt

This ensures that Pillow will stay at 6.2.2, requests will be upgraded to the latest 2.22.x (if available), and the latest version of youtube-dl will be installed if not already.

Answer 10

More robust solution is IMO to use a dependency management such as poetry, https://python-poetry.org which comes with an exhaustive dependency resolver.

Answer 11

Since I couldn't do that using bash, I wrote a python module to create a new requirements file with no versions and use it:

data = open('requirements-prod.pip', 'r')
data2 = open('requirements-prod-no-version.pip', 'w')
for line in data.readlines():
    new_line = line[:line.index('==')]
    data2.write(new_line + '\n')
data2.flush()

Then install the libs from the new file pip install -U -r requirements-prod-no-version.pip

Finally freeze the versions to the original file pip freeze > requirements-prod.pip

Answer 12

I guess the simplest solution is creating the requirements.txt with:

pip freeze | sed 's/==/>=/' > requirements.txt

Answer 13

With pip-tools you have a basic requirements.in with desired dependencies and a requirements.txt file with pinned versions. pip-tools then generates the pinned versions automatically, which makes handling the whole process including upgrading your dependencies a lot easier.

# requirements.in
django

and the autogenerated requirements.txt (to pin all dependencies)

$ pip-compile requirements.in
#
# This file is autogenerated by pip-compile
# To update, run:
#
#    pip-compile requirements.in
#
asgiref==3.2.3
    # via django
django==3.0.3
    # via -r requirements.in
pytz==2019.3
    # via django
sqlparse==0.3.0
    # via django

If you use that workflow, which I can highly recommend, it's

pip-compile --upgrade

which generates the requirements.txt with the latest versions.

Answer 14

No 3rd-party dependencies. It's Asynchronous and Fast.

import asyncio, argparse, json, re, io
from collections import namedtuple
from typing import Iterable
import urllib.request

Package = namedtuple("Package", ["name", "version", "raw"])
placeholder = "{name:<30} {old_ver:10} {new_ver:<10}"


async def get_pypi_latest_version(package: Package) -> tuple[Package, Package]:
    base_package, *_ = package.name.split("[")
    with urllib.request.urlopen(f"https://pypi.org/pypi/{base_package}/json") as f:
        data = json.loads(f.read())
        version = data["info"]["version"]
    latest_package = Package(package.name, version, f"{package.name}=={version}")
    return package, latest_package


async def fetch_all_latest_packages(
    packages: Iterable[Package],
) -> list[tuple[Package, Package]]:
    coro = (get_pypi_latest_version(package) for package in packages)
    new_packages = await asyncio.gather(*coro)
    return [(old, new) for old, new in new_packages if old.version != new.version]


def read_packages(requirements_io: io.TextIOWrapper):
    for line in requirements_io:
        raw, *_ = line.split("#")
        if not (raw := raw.strip()):
            continue
        package_name, *rest = re.split(r"<|=|>|\[\]", raw)
        if not rest:
            continue
        *_, version = rest
        yield Package(package_name, version, raw)
    requirements_io.close()


if __name__ == "__main__":
    parser = argparse.ArgumentParser(
        description="Check for updated dependencies in requirements file."
    )
    parser.add_argument(
        "filename",
        type=argparse.FileType("r"),
        help="requirements file",
    )
    args = parser.parse_args()
    current_packages = list(read_packages(args.filename))
    latest_packages = asyncio.run(fetch_all_latest_packages(current_packages))
    if not latest_packages:
        print("Everything upto date.")
        exit(0)
    print(placeholder.format(name="NAME", old_ver="OLD_VER", new_ver="NEW_VER"))
    for old, new in latest_packages:
        print(
            placeholder.format(name=new.name, old_ver=old.version, new_ver=new.version)
        )

$ python check_updates.py requirements.txt
NAME            OLD_VER         NEW_VER
Django          4.2.1           4.2.2
django-filter   23.1            23.2
psycopg         3.1.1           3.1.9


$ python check_updates.py -h
usage: check_updates.py [-h] filename

Check for updated dependencies in requirements file.

positional arguments:
  filename    requirements file

options:
  -h, --help  show this help message and exit

Answer 15

• 1) To upgrade pip installed files from reqs.txt add the >= in replacement of == this will tell pip to install lib greater than or equal to the version you are requesting, here by installing the most to-date version of requested library

  1.a) **My answer for thread ** By adding py -m pip install -r reqs.txt to a daily restart... or something of the nature you can update your installed libs. Summed up by Andy Perfectly

  -My reason For entering this thread was to find information on how to update virtual env base pip (usually 10.0.03 for me??)

in-hopes of satisfying an issue of which have I was able to derive one of two solutions

A. creation of venv || B. Installation of Required libs

Thanks to Andy I have satisfied need B

By adding pip >= requested version in reqs.txt

upon instantiation of new virtual-Environment || re-instantiation of previous Venv

1. py -m venv devenv

to setup new dev env

2. devenv\scripts\activate.bat

to activate dev env

3. python -m pip install -r requirenments.txt

to install base libs

yeilds output

Collecting pip >= 20.0.2 (from -r requirenments.txt (line 1)) Using cached >https://files.pythonhosted.org/packages/54/0c/d01aa759fdc501a58f431eb594a17495f15b88da142ce14b5845662c13f3/pip-20.0.2-py2.py3-none-any.whl

Found existing installation: pip 10.0.1

Uninstalling pip-10.0.1:

 Successfully uninstalled pip-10.0.1
 Successfully installed pip-20.0.2

Sorry for the Brain Dump, Hopes this helps someone :)

🤳 Austin 👨‍🎤🚀🥊

Answer 16

If you install anything in your django project and after installation you want to update your requirement file this command can update you requirement.txt file pip freeze > requirements.txt

if your requirement file not exist in you project you can use this command for make new requirement.txt file pip freeze > requirements.txt

Answer 17

I edit the requirements.txt as below and run $sh ./requirements.txt

pip install -U amqp;
pip install -U appdirs;
pip install -U arrow;
pip install -U Babel;
pip install -U billiard;
pip install -U celery;
pip install -U Django;
pip install -U django-cors-headers;
pip install -U django-crispy-forms;
pip install -U django-filter;
pip install -U django-markdown-deux;
pip install -U django-pagedown;
pip install -U django-timezone-field;
pip install -U djangorestframework;
pip install -U fcm-django;
pip install -U flower;
pip install -U gunicorn;
pip install -U kombu;
pip install -U Markdown;
pip install -U markdown2;
pip install -U packaging;