Sometimes I download the Python source code from GitHub and don't know how to install all the dependencies. If there isn't any requirements.txt file I have to create it by hand.
Given the Python source code directory, is it possible to create requirements.txt automatically from the import section?
Use Pipenv or other tools is recommended for improving your development flow.
pip3 freeze > requirements.txt # Python3
pip freeze > requirements.txt # Python2
If you do not use a virtual environment, pigar will be a good choice for you.
pip3 freeze > requirements.txt before asking a question. –
Hymnology pip3 freeze > requirements.txt and I'm surprised to not find some packages I am actually using such as argparse and configparser. Is it because they are part of Python core? I believe a better answer is to use pipreqs below because it will only list the requirements your project is using. –
Declinometer argparse and configparser is belong to Python3 standard library, so, what's wrong with pip3 freeze? I don't get your point. –
Violette pip3 freeze gives me the list of all the Python packages installed in my environment whereas pipreqs gives me all the ones actually used in my source code which is what I was looking for. Beside that, nothing's wrong with it. –
Declinometer requirements.txt can be quite a bad idea. –
Weiner You can use the following code to generate a requirements.txt file:
pip install pipreqs
pipreqs /path/to/project
The benefits of using pipreqs from its GitHub.
Why not pip freeze?
pip freezeonly saves the packages that are installed withpip installin your environment.pip freezesaves all packages in the environment including those that you don't use in your current project (if you don't havevirtualenv).- and sometimes you just need to create
requirements.txtfor a new project without installing modules.
ubuntu@laptop ~/Desktop/MemNN-hyperopt $ pipreqs ./ /Library/Python/2.6/site-packages/requests/packages/urllib3/util/ssl_.py:90: InsecurePlatformWarning: A true SSLContext object is not available. This prevents urllib3 from configuring SSL appropriately and may cause certain SSL connections to fail. For more information, see https://urllib3.readthedocs.org/en/latest/security.html#insecureplatformwarning. InsecurePlatformWarning is it ok? –
Driftwood pipreqs, I installed it on python 2.6 and got same warning but it does create a requirements.txt file, thanks @Farce –
Jepum it is strongly recommended to upgrade to a newer Python version –
Jepum pipreqs --encoding utf-8 –
Incisure UnicodeDecodeError: 'charmap' codec can't decode byte 0x98 in position 1359: character maps to <undefined>. Solution pipreqs --encoding=utf8 path_to, more here https://mcmap.net/q/46499/-pipreqs-unicodedecodeerror-39-charmap-39-codec-can-39-t-decode-byte-0x98-in-position-1206-character-maps-to-lt-undefined-gt –
Bridewell setup.py of Flask 1.02 package). So the incompatible major version can be installed (in my example i got Jinja 3.1.0) and breaks everything. –
Allium pipreqs that generates the wrong package version under certain circumstances. See bug ticket on github. –
Pimbley ConnectionError try using python3 -m pipreqs.pipreqs --use-local . instead –
Brande pip3 install -r –
Legumin pip crashed on a small toy project. –
Cantara Use Pipenv or other tools is recommended for improving your development flow.
pip3 freeze > requirements.txt # Python3
pip freeze > requirements.txt # Python2
If you do not use a virtual environment, pigar will be a good choice for you.
pip3 freeze > requirements.txt before asking a question. –
Hymnology pip3 freeze > requirements.txt and I'm surprised to not find some packages I am actually using such as argparse and configparser. Is it because they are part of Python core? I believe a better answer is to use pipreqs below because it will only list the requirements your project is using. –
Declinometer argparse and configparser is belong to Python3 standard library, so, what's wrong with pip3 freeze? I don't get your point. –
Violette pip3 freeze gives me the list of all the Python packages installed in my environment whereas pipreqs gives me all the ones actually used in my source code which is what I was looking for. Beside that, nothing's wrong with it. –
Declinometer requirements.txt can be quite a bad idea. –
Weiner For python3: (I have both python 2 and 3 on my machine, where python2 is the default)
# install
pip3 install pipreqs
# Run in current directory
python3 -m pipreqs.pipreqs .
python2:
pip install pipreqs
python -m pipreqs.pipreqs .
To check your python version:
python --version
pip install pipreqs and then python -m pipreqs.pipreqs . –
Reverie python -m pipreqs.pipreqs --encoding=utf8 --force because of some UTF8 characters (in my code, I guess?), as seen here –
Obverse pip crashed on a small toy project. –
Cantara Kinda mind-blowing how this simple task is so complicated in Python. Here is what I think is the best way to do it automatically.
You need two tools:
1.pipreqs
pip3 install pipreqs
pipreqs will go through your project and only install the packages that your project use. Instead of all the packages in your python environment as pip freeze would do.
But there's a problem with this approach. It does not install the sub-packages.
For example, your project uses pandas==1.3.2. pandas itself uses numpy==1.21.2 among other packages. But pipreqs itself does not write the sub-packages (i.e. numpy) in requirments.txt
This is where you need to combine pipreqs with the second tool.
pip3 install pip-tools
pip-tools will take the packages in requirements.in and generate the requirements.txt with all the sub-packages. For example, if you have
pandas==1.3.2 in requirements.in, pip-tools would generate
numpy==1.21.2 # via pandas in requirements.txt.
But you need to manually add the package in requirements.in. Which is prone to mistake and you might forget to do this once in a while.
This is where you can use the first tool.
But both the tools write to requirements.txt. So how do you fix it?
Use the --savepath for pipreqs to write in requirements.in instead of the default requirements.txt.
To do it in one command; just do
pipreqs --savepath=requirements.in && pip-compile
There you go. Now you don't need to worry about manually maintaining the packages and you're requirements.txt will have all the sub-packages so that your build is deterministic.
TL;DR
pip3 install pipreqspip3 install pip-toolsUse the following to build a deterministic requirements.txt
pipreqs --savepath=requirements.in && pip-compile
pip install pip-tools instead of pip install pip-tool –
Kokand pipreqs --savepath=requirements.in && pip-compile, pipreqs created a requirements.in file in addition to requirements.txt. Can you elaborate in your post or a comment why requirements.in is generated? –
Bankhead pipreqs --savepath=requirements.in && pip-compile has --savepath=requirements.in with a in extension not txt –
Pseudonym requirements.in file is only used as an intermediate file which pip-compile then uses to generate the final requirements.txt. –
Saddlery pip crashed on a small toy project. –
Cantara In my case, I use Anaconda, so running the following command from a Conda terminal inside my environment solved it, and created this requirements.txt file for me automatically:
conda list -e > requirements.txt
This was taken from this Github link pratos/condaenv.txt.
If an error have been seen, and you are using Anaconda, try to use the .yml option:
conda env export > <environment-name>.yml
For another person to use the environment or if you are creating a new environment on another machine:
conda env create -f <environment-name>.yml
pip install requirements.txt rejects. –
Voidance I blindly followed the accepted answer of using pip3 freeze > requirements.txt
It generated a huge file that listed all the dependencies of the entire solution, which is not what I wanted.
So you need to figure out what sort of requirements.txt you are trying to generate.
If you need a requirements.txt file that has ALL the dependencies, then use the pip3
pip3 freeze > requirements.txt
However, if you want to generate a minimal requirements.txt that only lists the dependencies you need, then use the pipreqs package. Especially helpful if you have numerous requirements.txt files in per component level in the project and not a single file on the solution wide level.
pip install pipreqs
pipreqs [path to folder]
e.g. pipreqs .
pipreqs . --force --ignore=tests (Overwrites exisiting requirements.txt, ignores the tests directory)
pip crashed on a small toy project. –
Cantara As most of the answers using pipreqs didn't work for me. Here, is my answer.
To generate the requirements.txt file:
pip install pipreqs
python -m pipreqs.pipreqs --encoding utf-8 /path/to/project
I prefer using pipreqs more than pip freeze, as pip freeze saves all packages in the environment including those that you don't use in your current project. However, pipreqs only save the ones you are using in your project.
To install the requirements use:
pip3 install -r requirements.txt
pip crashed on a small toy project. –
Cantara Firstly, your project file must be a py file which is direct python file. If your file is in ipynb format, you can convert it to py type by using the line of code below:
jupyter nbconvert --to=python
Then, you need to install pipreqs library from cmd (terminal for mac).
pip install pipreqs
Now we can create txt file by using the code below. If you are in the same path with your file, you can just write ./ . Otherwise you need to give path of your file.
pipreqs ./
or
pipreqs /home/project/location
That will create a requirements.txt file for your project.
No template sub-directory with name 'python' found in the following paths –
Eckard You can just do it with the following commands. It will create file requirement.txt and add relevant modules automatically.
For Unix:
pip3 freeze > requirements.txt
For Windows:
pip freeze > requirements.txt
pip3 and pip is coming from the Python Version difference. Not necessarily from the operating system that is used, CMIIW. For Python3 : pip3 freeze > requirements.txt For Python2: pip freeze > requirements.txt –
Scurrilous For the Python 3 version, the command is:
pip3 freeze > requirements.txt
For the Python 2 version, the command is:
pip freeze > requirements.txt
For the Python 3 version, the command is:
pip3 install -r requirements.txt
For the Python 2 version, the command is:
pip install -r requirements.txt
While developing a Python application with requirements.txt we have several choices:
pip freeze > requirements.txt or pipreqs for less messy result.There are many answers for the first option, the second option is self-explanatory, so I would like to describe the third approach. There is a library called to-requirements.txt. To install it, type this:
pip install to-requirements.txt # Pip install to requirements.txt
If you read the whole command at once, you would see what it does. After installing you should set it up. Run:
requirements-txt init
It overrides the pip scripts so that each pip install or pip uninstall updates the requirements.txt file of your project automatically with required versions of packages. The overriding is made safely, so that after uninstalling this package the pip will behave ordinary.
And you could customize the way it works. For example, disable it globally and activate it only for the required directories, activate it only for git repositories, or allow / disallow to create requirements.txt file if it does not exist.
References:
Make sure to run pip3 for python3.7.
pip3 freeze >> yourfile.txt
Before executing the above command make sure you have created a virtual environment.
python3:
pip3 install virtualenv
python3 -m venv <myenvname>
python2:
pip install virtualenv
virtualenv <myenvname>
After that put your source code in the directory. If you run the python file now, probably it won't launch if you are using non-native modules. You can install those modules by running pip3 install <module> or pip install <module>.
This will not affect you entire module list except the environment you are in.
Now you can execute the command at the top and now you have a requirements file which contains only the modules you installed in the virtual environment. Now you can run the command at the top.
I advise everyone to use environments as it makes things easier when it comes to stuff like this.
To get a list of all the REQUIREMENTS in a standard requirements.txt file, you can use the following command.
pip freeze > requirements.txt
Now, this should automatically create a standard requirements file with all of the packages installed alongside their corresponding versions.
If you just want to get a pretty print on the terminal you can use the following approach.
pip list
This lists all of the installed packages, in a pretty print format.
If you have a project folder like say, a Github Repo, and you want to get a custom requirements.txt for project You can use the following Package.
https://pypi.org/project/pipreqs/ pipreqs
$ pipreqs /home/project/location
Successfully saved requirements file in /home/project/location/requirements.txt
Contents of requirements.txt
wheel==0.23.0
Yarg==0.1.9
docopt==0.6.2
If you have installed many dependencies in your system and you need requirements.txt for a specific project, you can install first pipreqs:
$ pip install pipreqs
and execute the below command under the project folder.
$ pipreqs
This command will generate requirements.txt file for the particular project.
pip crashed on a small toy project. –
Cantara If Facing the same issue as mine i.e. not on the virtual environment and wants requirements.txt for a specific project or from the selected folder(includes children) and pipreqs is not supporting.
You can use :
import os
import sys
from fuzzywuzzy import fuzz
import subprocess
path = "C:/Users/Username/Desktop/DjangoProjects/restAPItest"
files = os.listdir(path)
pyfiles = []
for root, dirs, files in os.walk(path):
for file in files:
if file.endswith('.py'):
pyfiles.append(os.path.join(root, file))
stopWords = ['from', 'import',',','.']
importables = []
for file in pyfiles:
with open(file) as f:
content = f.readlines()
for line in content:
if "import" in line:
for sw in stopWords:
line = ' '.join(line.split(sw))
importables.append(line.strip().split(' ')[0])
importables = set(importables)
subprocess.call(f"pip freeze > {path}/requirements.txt", shell=True)
with open(path+'/requirements.txt') as req:
modules = req.readlines()
modules = {m.split('=')[0].lower() : m for m in modules}
notList = [''.join(i.split('_')) for i in sys.builtin_module_names]+['os']
new_requirements = []
for req_module in importables:
try :
new_requirements.append(modules[req_module])
except KeyError:
for k,v in modules.items():
if len(req_module)>1 and req_module not in notList:
if fuzz.partial_ratio(req_module,k) > 90:
new_requirements.append(modules[k])
new_requirements = [i for i in set(new_requirements)]
new_requirements
with open(path+'/requirements.txt','w') as req:
req.write(''.join(new_requirements))
P.S: It may have a few additional libraries as it checks on fuzzylogic.
@Francis has it right - https://mcmap.net/q/45414/-automatically-create-file-39-requirements-txt-39
But just to add:
With additional support for Jupyter notebooks - i.e. .ipynb files - you can now use https://pypi.org/project/pipreqsnb (same syntax as pipreqs):
pip install pipreqsnb
pipreqsnb .
[I am not an author]
pipreqsnb ., not pipreqs . –
Declamation best way for Python 3 is:
pip3 freeze > requirements.txt
it worked for me...
If you want to list only packages used inside a virtualenv use:
pip freeze -l > requirements.txt
Not a complete solution, but may help to compile a shortlist on Linux.
grep --include='*.py' -rhPo '^\s*(from|import)\s+\w+' . | sed -r 's/\s*(import|from)\s+//' | sort -u > requirements.txt
Or if you are using something like virtualenv, you can just run this command to generate a requirements.txt file:
./.venv/bin/pip freeze > requirements.txt
I created this bash command.
for l in $(pip freeze); do p=$(echo "$l" | cut -d'=' -f1); f=$(find . -type f -exec grep "$p" {} \; | grep 'import'); [[ ! -z "$f" ]] && echo "$l" ; done;
Using pip freeze > requirements.txt is a bad way to create the requirements file! It can serve as a temporary solution for your problem, but when managing requirements for a Python project it is best to do it manually.
A simple search for "import" or "from x import" will give you the list of all dependencies that need to be installed (nothing extra).
The problem with pip freeze it that it simply dumps all installed packages with strict versions, every dependency has its own dependencies and they are included in the dump.
For example, you have lib==1.0 installed, that needs sub-lib==0.5, if you use pip freeze you'll get both, but later when you wish to update the version of lib to 2.0, most likely you'll get conflicts since lib v2.0 now uses sub-lib v1.0, not the v0.5 that you require... This gets complex fast for multiple dependencies.
We got into those problems in a couple of projects, and since then I created an automated script to clean pip freeze's dumps. It is safe (comments unneeded dependencies) and works great.
To help solve this problem, always run requirements.txt on only local packages. By local packages I mean packages that are only in your project folder. To do this do: Pip freeze —local > requirements.txt
Not pip freeze > requirements.txt. Note that it’s double underscore before local.
However installing pipreqs helps too. Pip install pipreqs.
The perfect solution though is to have a pipfile. The pipfile updates on its own whenever you install a new local package. It also has a pipfile.lock similar to package.json in JavaScript. To do this always install your packages with pipenv not pip. So we do pipenv
pipreqs -> it gives me just robotframework then pip freeze > requirements.txt gives many libraries which not in used in the project. how do I use these tool/command to output the requiremnt correctly? it will helps in setting up the new environment. –
Collection Pipenv users can generate the requirement.txt file from the project's Pipfile with:
pipenv lock --requirements
For a different use case from the original question, where you do have the environment but have not pinned your dependencies, I found pipreqs to be inconsistent as it would sometimes duplicate dependencies with different versions like two entries of pillow with version 9.0.0 and 9.5.0 as well as fail to catch some needed dependencies.
I realized pipreqs is overkill for me personally.
I saw several people mention that pip freeze comes with caveat of storing ALL of your environments packages.
However, there is a simple solution that works well for me:
Sort out unpinned top level requirements into dev and core files like so:
requirements
├── core.txt
└── dev.txt
Since you probably only want your core requirements for production,
pip freeze | grep -F -f requirements/core.txt > requirements.txt
And let's say you wanted to omit extra like trailing +cpu at the end of the requirement names (which I needed to do for a Hugging Face deployment), you could chain a piped filter beforehand.
pip freeze | grep -F -f requirements/core.txt | sed 's/+cpu//g' > requirements.txt
I find this much simpler to maintain.
For using pip freeze > requirements.txt, create a virtual environment to avoid adding unnecessary dependencies and install all the dependencies in the virtual environment before running freeze command.
Step 1: Create the virtual environment
python3 -m venv .venv
Step 2: Activate the virtual environment
source .venv/bin/activate
Step 3: Install all the required dependencies
pip install <dependencies name>
Step 4: Run the freeze command
pip freeze > requirements.txt
Use:
pipreqs --savepath=requirements.in && pip-compile
It won't be working if you are on Windows PowerShell.
Try this;
( pipreqs --savepath=requirements.in ) -and (pip-compile)
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pip freeze > requirements.txtwill save all your python libraries with current version intorequirements.txtfile – Jepumpip freezewill dump current versions ofallthe installed modules on that system irrespective of there usage in the current project. b) pip will only list modules that have been installed via pip – Unlikelypip freezewith the--pathargument as suggested in this post: #31210665 – Atheling