--- title: App dependencies slug: /deploy/streamlit-community-cloud/deploy-your-app/app-dependencies --- # App dependencies The main reason that apps fail to build properly is because Streamlit Community Cloud can't find your dependencies! There are two kinds of dependencies your app might have: Python dependencies and external dependencies. Python dependencies are other Python packages (just like Streamlit!) that you `import` into you script. External dependencies are less common, but they include any other software your script needs to function properly. Since Streamlit Community Cloud runs on Linux, these will be Linux dependencies installed with `apt-get` outside the Python environment. For your dependencies to be installed correctly, make sure you: 1. Add a [requirements file](#add-python-dependencies) for Python dependencies. 2. (optional) Add a `packages.txt` file to manage any external dependencies. Python requirements files should be placed either in the root of your repository or in the same directory as your Streamlit app. ## Add Python dependencies With each `import` statement in your script, you are bringing in a Python dependency. You need to tell Streamlit Community Cloud how to install those dependencies through a Python package manager. We recommend using a `requirements.txt` which is based on `pip`. You should _not_ include built-in Python libraries like `math` or `random` in your `requirements.txt` file. These are a part of Python and aren't installed separately. Also, Streamlit Community Cloud has `streamlit` installed by default. You don't strictly need to include `streamlit` unless you want to pin or restrict the version. If you deploy an app without a `requirements.txt` file, your app will run in an environment with just `streamlit` (and its dependencies) installed. If you have a script like the following, no extra dependencies would be needed since `pandas` and `numpy` are installed as direct dependencies of `streamlit`. Similarly, `math` and `random` are built into Python. ```python import streamlit as st import pandas as pd import numpy as np import math import random st.write('Hi!') ``` However, a valid `requirements.txt` file would be: ```none streamlit pandas numpy ``` Alternatively, if you needed to specify certain versions, another valid example would be: ```none streamlit==1.24.1 pandas>2.0 numpy<=1.25.1 ``` In the above example, `streamlit` is pinned to version `1.24.1`, `pandas` must be strictly greater than version 2.0, and `numpy` must be at-or-below version 1.25.1. Each line in your `requirements.txt` file is effectively what you would like to `pip install` into your cloud environment. We recommend that you use the latest version of Streamlit to ensure full Streamlit Community Cloud functionality. Be sure to take note of Streamlit's [current requirements](https://github.com/streamlit/streamlit/blob/develop/lib/setup.py) for package compatibility when planning your environment, especially `protobuf>=3.20,<5`. If you pin `streamlit` below 1.20.0, you may experience unexpected results if you've pinned any dependencies of `altair`. If `streamlit` is installed below version 1.20.0, `altair<5` will be reinstalled on top of your environment for compatibility reasons. When this happens all of altair's dependencies will be updated. ### Other Python package managers There are other Python package managers besides `pip`. If you want to consider alternatives to using a `requirements.txt` file, Streamlit Community Cloud will look for other Python dependency managers to use in the order below. Streamlit will stop and install the first dependency file found.
Recognized Filename Python Package Manager
Pipfile pipenv
environment.yml conda
requirements.txt pip
pyproject.toml poetry
You should only use one requirements file for your app. If you include more than one (e.g. `requirements.txt` and `Pipfile`), only the first file encountered will be used as described above. Additionally, Streamlit will first look in the directory of your Streamlit app; however, if no requirements file is found, Streamlit will then look at the root of the repo. ## apt-get dependencies For many apps, a `packages.txt` file is not required. However, if your script requires any software to be installed that is not a Python package, then you will need a `packages.txt` file. Streamlit Community Cloud is built on Debian Linux. Anything you would like to `apt-get install` needs to go in your `packages.txt` file. If `packages.txt` exists in the root directory of your repository we automatically detect it, parse it, and install the listed packages. You can read more about apt-get in Linux documentation. Add **apt-get** dependencies to `packages.txt` — one package name per line. For example, mysqlclient is a Python package which requires additional software be installed to function. A valid `packages.txt` file to enable `mysqlclient` would be: ```bash build-essential pkg-config default-libmysqlclient-dev ```