freqtrade_origin/docs/installation.md

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# Installation
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This page explains how to prepare your environment for running the bot.
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The freqtrade documentation describes various ways to install freqtrade
* [Docker images](docker_quickstart.md) (separate page)
* [Script Installation](#script-installation)
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* [Manual Installation](#manual-installation)
* [Installation with Conda](#installation-with-conda)
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Please consider using the prebuilt [docker images](docker_quickstart.md) to get started quickly while evaluating how freqtrade works.
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------
## Information
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For Windows installation, please use the [windows installation guide](windows_installation.md).
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The easiest way to install and run Freqtrade is to clone the bot Github repository and then run the `./setup.sh` script, if it's available for your platform.
!!! Note "Version considerations"
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When cloning the repository the default working branch has the name `develop`. This branch contains all last features (can be considered as relatively stable, thanks to automated tests).
The `stable` branch contains the code of the last release (done usually once per month on an approximately one week old snapshot of the `develop` branch to prevent packaging bugs, so potentially it's more stable).
!!! Note
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Python3.7 or higher and the corresponding `pip` are assumed to be available. The install-script will warn you and stop if that's not the case. `git` is also needed to clone the Freqtrade repository.
Also, python headers (`python<yourversion>-dev` / `python<yourversion>-devel`) must be available for the installation to complete successfully.
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!!! Warning "Up-to-date clock"
The clock on the system running the bot must be accurate, synchronized to a NTP server frequently enough to avoid problems with communication to the exchanges.
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------
## Requirements
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These requirements apply to both [Script Installation](#script-installation) and [Manual Installation](#manual-installation).
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!!! Note "ARM64 systems"
If you are running an ARM64 system (like a MacOS M1 or an Oracle VM), please use [docker](docker_quickstart.md) to run freqtrade.
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While native installation is possible with some manual effort, this is not supported at the moment.
### Install guide
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* [Python >= 3.7.x](http://docs.python-guide.org/en/latest/starting/installation/)
* [pip](https://pip.pypa.io/en/stable/installing/)
* [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
* [virtualenv](https://virtualenv.pypa.io/en/stable/installation.html) (Recommended)
* [TA-Lib](https://mrjbq7.github.io/ta-lib/install.html) (install instructions [below](#install-ta-lib))
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### Install code
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We've included/collected install instructions for Ubuntu, MacOS, and Windows. These are guidelines and your success may vary with other distros.
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OS Specific steps are listed first, the [Common](#common) section below is necessary for all systems.
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!!! Note
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Python3.7 or higher and the corresponding pip are assumed to be available.
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!!! Warning "Python 3.10 support"
Due to issues with dependencies, freqtrade is currently unable to support python 3.10.
We're working on supporting python 3.10, are however dependant on support from dependencies.
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=== "Debian/Ubuntu"
#### Install necessary dependencies
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```bash
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# update repository
sudo apt-get update
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# install packages
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sudo apt install -y python3-pip python3-venv python3-dev python3-pandas git curl
```
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=== "RaspberryPi/Raspbian"
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The following assumes the latest [Raspbian Buster lite image](https://www.raspberrypi.org/downloads/raspbian/).
This image comes with python3.7 preinstalled, making it easy to get freqtrade up and running.
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Tested using a Raspberry Pi 3 with the Raspbian Buster lite image, all updates applied.
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```bash
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sudo apt-get install python3-venv libatlas-base-dev cmake curl
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# Use pywheels.org to speed up installation
sudo echo "[global]\nextra-index-url=https://www.piwheels.org/simple" > tee /etc/pip.conf
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git clone https://github.com/freqtrade/freqtrade.git
cd freqtrade
bash setup.sh -i
```
!!! Note "Installation duration"
Depending on your internet speed and the Raspberry Pi version, installation can take multiple hours to complete.
Due to this, we recommend to use the pre-build docker-image for Raspberry, by following the [Docker quickstart documentation](docker_quickstart.md)
!!! Note
The above does not install hyperopt dependencies. To install these, please use `python3 -m pip install -e .[hyperopt]`.
We do not advise to run hyperopt on a Raspberry Pi, since this is a very resource-heavy operation, which should be done on powerful machine.
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------
## Freqtrade repository
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Freqtrade is an open source crypto-currency trading bot, whose code is hosted on `github.com`
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```bash
# Download `develop` branch of freqtrade repository
git clone https://github.com/freqtrade/freqtrade.git
# Enter downloaded directory
cd freqtrade
# your choice (1): novice user
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git checkout stable
# your choice (2): advanced user
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git checkout develop
```
(1) This command switches the cloned repository to the use of the `stable` branch. It's not needed, if you wish to stay on the (2) `develop` branch.
You may later switch between branches at any time with the `git checkout stable`/`git checkout develop` commands.
??? Note "Install from pypi"
An alternative way to install Freqtrade is from [pypi](https://pypi.org/project/freqtrade/). The downside is that this method requires ta-lib to be correctly installed beforehand, and is therefore currently not the recommended way to install Freqtrade.
``` bash
pip install freqtrade
```
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------
## Script Installation
First of the ways to install Freqtrade, is to use provided the Linux/MacOS `./setup.sh` script, which install all dependencies and help you configure the bot.
Make sure you fulfill the [Requirements](#requirements) and have downloaded the [Freqtrade repository](#freqtrade-repository).
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### Use /setup.sh -install (Linux/MacOS)
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If you are on Debian, Ubuntu or MacOS, freqtrade provides the script to install freqtrade.
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```bash
# --install, Install freqtrade from scratch
./setup.sh -i
```
### Activate your virtual environment
Each time you open a new terminal, you must run `source .env/bin/activate` to activate your virtual environment.
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```bash
# then activate your .env
source ./.env/bin/activate
```
### Congratulations
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[You are ready](#you-are-ready), and run the bot
### Other options of /setup.sh script
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You can as well update, configure and reset the codebase of your bot with `./script.sh`
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```bash
# --update, Command git pull to update.
./setup.sh -u
# --reset, Hard reset your develop/stable branch.
./setup.sh -r
```
```
** --install **
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With this option, the script will install the bot and most dependencies:
You will need to have git and python3.7+ installed beforehand for this to work.
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* Mandatory software as: `ta-lib`
* Setup your virtualenv under `.env/`
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This option is a combination of installation tasks and `--reset`
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** --update **
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This option will pull the last version of your current branch and update your virtualenv. Run the script with this option periodically to update your bot.
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** --reset **
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This option will hard reset your branch (only if you are on either `stable` or `develop`) and recreate your virtualenv.
```
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-----
## Manual Installation
Make sure you fulfill the [Requirements](#requirements) and have downloaded the [Freqtrade repository](#freqtrade-repository).
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### Install TA-Lib
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#### TA-Lib script installation
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```bash
sudo ./build_helpers/install_ta-lib.sh
```
!!! Note
This will use the ta-lib tar.gz included in this repository.
##### TA-Lib manual installation
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Official webpage: https://mrjbq7.github.io/ta-lib/install.html
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```bash
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wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
tar xvzf ta-lib-0.4.0-src.tar.gz
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cd ta-lib
sed -i.bak "s|0.00000001|0.000000000000000001 |g" src/ta_func/ta_utility.h
./configure --prefix=/usr/local
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make
sudo make install
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# On debian based systems (debian, ubuntu, ...) - updating ldconfig might be necessary.
sudo ldconfig
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cd ..
rm -rf ./ta-lib*
```
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#### Setup Python virtual environment (virtualenv)
You will run freqtrade in separated `virtual environment`
```bash
# create virtualenv in directory /freqtrade/.env
python3 -m venv .env
# run virtualenv
source .env/bin/activate
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```
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#### Install python dependencies
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```bash
python3 -m pip install --upgrade pip
python3 -m pip install -e .
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```
### Congratulations
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[You are ready](#you-are-ready), and run the bot
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#### (Optional) Post-installation Tasks
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!!! Note
If you run the bot on a server, you should consider using [Docker](docker_quickstart.md) or a terminal multiplexer like `screen` or [`tmux`](https://en.wikipedia.org/wiki/Tmux) to avoid that the bot is stopped on logout.
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On Linux with software suite `systemd`, as an optional post-installation task, you may wish to setup the bot to run as a `systemd service` or configure it to send the log messages to the `syslog`/`rsyslog` or `journald` daemons. See [Advanced Logging](advanced-setup.md#advanced-logging) for details.
------
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## Installation with Conda
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Freqtrade can also be installed with Miniconda or Anaconda. We recommend using Miniconda as it's installation footprint is smaller. Conda will automatically prepare and manage the extensive library-dependencies of the Freqtrade program.
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### What is Conda?
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Conda is a package, dependency and environment manager for multiple programming languages: [conda docs](https://docs.conda.io/projects/conda/en/latest/index.html)
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### Installation with conda
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#### Install Conda
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[Installing on linux](https://conda.io/projects/conda/en/latest/user-guide/install/linux.html#install-linux-silent)
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[Installing on windows](https://conda.io/projects/conda/en/latest/user-guide/install/windows.html)
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Answer all questions. After installation, it is mandatory to turn your terminal OFF and ON again.
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#### Freqtrade download
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Download and install freqtrade.
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```bash
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# download freqtrade
git clone https://github.com/freqtrade/freqtrade.git
# enter downloaded directory 'freqtrade'
cd freqtrade
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```
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#### Freqtrade install: Conda Environment
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Prepare conda-freqtrade environment, using file `environment.yml`, which exist in main freqtrade directory
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```bash
conda env create -n freqtrade-conda -f environment.yml
```
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!!! Note "Creating Conda Environment"
The conda command `create -n` automatically installs all nested dependencies for the selected libraries, general structure of installation command is:
```bash
# choose your own packages
conda env create -n [name of the environment] [python version] [packages]
# point to file with packages
conda env create -n [name of the environment] -f [file]
```
#### Enter/exit freqtrade-conda environment
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To check available environments, type
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```bash
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conda env list
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```
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Enter installed environment
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```bash
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# enter conda environment
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conda activate freqtrade-conda
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# exit conda environment - don't do it now
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conda deactivate
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```
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Install last python dependencies with pip
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```bash
python3 -m pip install --upgrade pip
python3 -m pip install -e .
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```
### Congratulations
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[You are ready](#you-are-ready), and run the bot
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### Important shortcuts
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```bash
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# list installed conda environments
conda env list
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# activate base environment
conda activate
# activate freqtrade-conda environment
conda activate freqtrade-conda
#deactivate any conda environments
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conda deactivate
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```
### Further info on anaconda
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!!! Info "New heavy packages"
It may happen that creating a new Conda environment, populated with selected packages at the moment of creation takes less time than installing a large, heavy library or application, into previously set environment.
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!!! Warning "pip install within conda"
The documentation of conda says that pip should NOT be used within conda, because internal problems can occur.
However, they are rare. [Anaconda Blogpost](https://www.anaconda.com/blog/using-pip-in-a-conda-environment)
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Nevertheless, that is why, the `conda-forge` channel is preferred:
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* more libraries are available (less need for `pip`)
* `conda-forge` works better with `pip`
* the libraries are newer
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Happy trading!
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-----
## You are ready
You've made it this far, so you have successfully installed freqtrade.
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### Initialize the configuration
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```bash
# Step 1 - Initialize user folder
freqtrade create-userdir --userdir user_data
# Step 2 - Create a new configuration file
freqtrade new-config --config config.json
```
You are ready to run, read [Bot Configuration](configuration.md), remember to start with `dry_run: True` and verify that everything is working.
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To learn how to setup your configuration, please refer to the [Bot Configuration](configuration.md) documentation page.
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### Start the Bot
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```bash
freqtrade trade --config config.json --strategy SampleStrategy
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```
!!! Warning
You should read through the rest of the documentation, backtest the strategy you're going to use, and use dry-run before enabling trading with real money.
-----
## Troubleshooting
### Common problem: "command not found"
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If you used (1)`Script` or (2)`Manual` installation, you need to run the bot in virtual environment. If you get error as below, make sure venv is active.
```bash
# if:
bash: freqtrade: command not found
# then activate your .env
source ./.env/bin/activate
```
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### MacOS installation error
Newer versions of MacOS may have installation failed with errors like `error: command 'g++' failed with exit status 1`.
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This error will require explicit installation of the SDK Headers, which are not installed by default in this version of MacOS.
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For MacOS 10.14, this can be accomplished with the below command.
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```bash
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open /Library/Developer/CommandLineTools/Packages/macOS_SDK_headers_for_macOS_10.14.pkg
```
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If this file is inexistent, then you're probably on a different version of MacOS, so you may need to consult the internet for specific resolution details.
### MacOS installation error with python 3.9
When using python 3.9 on macOS, it's currently necessary to install some os-level modules to allow dependencies to compile.
The errors you'll see happen during installation and are related to the installation of `tables` or `blosc`.
You can install the necessary libraries with the following command:
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```bash
brew install hdf5 c-blosc
```
After this, please run the installation (script) again.