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.

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 

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.

You can use below command on Linux and Mac:

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

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.

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.

It surprises me that there are almost 20 different answers and not a single one is correct. Everyone's either using external applications, or slowly reinstalling all dependencies even if they were already the latest, or are still not upgrading dependencies to the latest version. The confusion clearly stems from not understanding Pip's upgrade-strategy parameter (nobody else has mentioned it).

Here's the actual answer...

• pip install --upgrade --upgrade-strategy eager -r requirements.txt

That's it.

• --upgrade tells pip that you want to upgrade the locally installed requirements.
• --upgrade-strategy eager tells it that it should upgrade even if the locally installed version satisfies the requirements. Meaning, let's say you have a package that depends on numpy 1.2.* and you have 1.2.3 on your system, but 1.2.5 is available. With eager strategy, we will upgrade to 1.2.5. Without it, we would stay on the outdated version "since it's technically still filling the requirements even though it's old". Since we want to ensure we have the latest code, we tell it to be eager about upgrading.
• -r requirements.txt is absolutely vital to ensure that we still follow the requirements.txt rules, otherwise it will upgrade all installed packages to the latest versions and totally ignore your project's requirement rules.

Running the upgrade this way ensures rapid upgrades. It will ONLY reinstall/upgrade packages if these conditions are met:

• The package has a newer version which would still fit within requirements.txt and the dependencies of all installed packages.
• Or when the package is from Git, in which case Pip has no idea if it's outdated or not and will always reinstall it from scratch.

In all other cases, it keeps what you already have on disk, ensuring super fast upgrades where it will ONLY download and install things if they're actually upgrades!

The result is equivalent to erasing all local packages and installing from requirements.txt again. In other words, your libraries become upgraded to whatever a clean install of requirements.txt would have given you. But without wasting time doing a full reinstall of what you already have!

Best of all: These flags can also be passed on the initial install and won't do anything special in that situation. Which means that you can use the exact same command to install AND upgrade from requirements.txt. Meaning that you only need to write a single command in your scripts no matter if it's dealing with the initial install or the later upgrades.

Therefore, I recommend always using this command for both your initial install + your upgrades. Don't even bother with anything else. :)

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. :)

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.

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

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

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

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

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.

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 

• 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 

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