When you install Streamlit, a command-line (CLI) tool gets installed as well. The purpose of this tool is to run Streamlit apps, change Streamlit configuration options, and help you diagnose and fix issues.
To see all of the supported commands:
Run Streamlit apps
streamlit run your_script.py [-- script args]
Runs your app. At any time you can stop the server with Ctrl+c.
When passing your script some custom arguments, they must be passed after two dashes. Otherwise the arguments get interpreted as arguments to Streamlit itself.
To see the Streamlit 'Hello, World!' example app, run
Opens the Streamlit documentation (i.e. this website) in a web browser.
streamlit cache clear
Clears persisted files from the on-disk Streamlit cache, if present.
Set configuration options
Streamlit provides four different ways to set configuration options:
In a global config file at
~/.streamlit/config.tomlfor macOS/Linux or
[server] port = 80
In a per-project config file at
$CWDis the folder you're running Streamlit from.
STREAMLIT_*environment variables, such as:
As flags on the command line when running
streamlit run. These allow you to do things like change the port the app is served from, disable run-on-save, and more:
streamlit run your_script.py --server.port 80
View all configuration options
streamlit config show
Shows all config options available for Streamlit, including their current values:
# last updated 2021-09-21 [global] # By default, Streamlit checks if the Python watchdog module is available and, if not, prints a warning asking for you to install it. The watchdog module is not required, but highly recommended. It improves Streamlit's ability to detect changes to files in your filesystem. # If you'd like to turn off this warning, set this to True. # Default: false disableWatchdogWarning = false # If True, will show a warning when you run a Streamlit-enabled script via "python my_script.py". # Default: true showWarningOnDirectExecution = true # DataFrame serialization. # Acceptable values: # - 'legacy': Serialize DataFrames using Streamlit's custom format. Slow but battle-tested. # - 'arrow': Serialize DataFrames using Apache Arrow. Much faster and versatile. # Default: 'arrow' dataFrameSerialization = "arrow" [logger] # Level of logging: 'error', 'warning', 'info', or 'debug'. # Default: 'info' level = "debug" # String format for logging messages. If logger.datetimeFormat is set, logger messages will default to `%(asctime)s.%(msecs)03d %(message)s`. See [Python's documentation](https://docs.python.org/2.6/library/logging.html#formatter-objects) for available attributes. # Default: None messageFormat = "%(asctime)s %(levelname) -7s %(name)s: %(message)s" [client] # Whether to enable st.cache. # Default: true caching = true # If false, makes your Streamlit script not draw to a Streamlit app. # Default: true displayEnabled = true # Controls whether uncaught app exceptions are displayed in the browser. By default, this is set to True and Streamlit displays app exceptions and associated tracebacks in the browser. # If set to False, an exception will result in a generic message being shown in the browser, and exceptions and tracebacks will be printed to the console only. # Default: true showErrorDetails = true [runner] # Allows you to type a variable or string by itself in a single line of Python code to write it to the app. # Default: true magicEnabled = true # Install a Python tracer to allow you to stop or pause your script at any point and introspect it. As a side-effect, this slows down your script's execution. # Default: false installTracer = false # Sets the MPLBACKEND environment variable to Agg inside Streamlit to prevent Python crashing. # Default: true fixMatplotlib = true # Run the Python Garbage Collector after each script execution. This can help avoid excess memory use in Streamlit apps, but could introduce delay in rerunning the app script for high-memory-use applications. # Default: true postScriptGC = true [server] # List of folders that should not be watched for changes. This impacts both "Run on Save" and @st.cache. # Relative paths will be taken as relative to the current working directory. # Example: ['/home/user1/env', 'relative/path/to/folder'] # Default:  folderWatchBlacklist =  # Change the type of file watcher used by Streamlit, or turn it off completely. # Allowed values: * "auto" : Streamlit will attempt to use the watchdog module, and falls back to polling if watchdog is not available. * "watchdog" : Force Streamlit to use the watchdog module. * "poll" : Force Streamlit to always use polling. * "none" : Streamlit will not watch files. # Default: "auto" fileWatcherType = "auto" # Symmetric key used to produce signed cookies. If deploying on multiple replicas, this should be set to the same value across all replicas to ensure they all share the same secret. # Default: randomly generated secret key. cookieSecret = "f8b7582082c5a4903916139e55a911170246459cdd73190983f806b7fc81623e" # If false, will attempt to open a browser window on start. # Default: false unless (1) we are on a Linux box where DISPLAY is unset, or (2) server.liveSave is set. headless = false # Automatically rerun script when the file is modified on disk. # Default: false runOnSave = false # The address where the server will listen for client and browser connections. Use this if you want to bind the server to a specific address. If set, the server will only be accessible from this address, and not from any aliases (like localhost). # Default: (unset) #address = # The port where the server will listen for browser connections. # Default: 8501 port = 8501 # The base path for the URL where Streamlit should be served from. # Default: "" baseUrlPath = "" # Enables support for Cross-Origin Request Sharing (CORS) protection, for added security. # Due to conflicts between CORS and XSRF, if `server.enableXsrfProtection` is on and `server.enableCORS` is off at the same time, we will prioritize `server.enableXsrfProtection`. # Default: true enableCORS = true # Enables support for Cross-Site Request Forgery (XSRF) protection, for added security. # Due to conflicts between CORS and XSRF, if `server.enableXsrfProtection` is on and `server.enableCORS` is off at the same time, we will prioritize `server.enableXsrfProtection`. # Default: true enableXsrfProtection = true # Max size, in megabytes, for files uploaded with the file_uploader. # Default: 200 maxUploadSize = 200 # Enables support for websocket compression. # Default: true enableWebsocketCompression = true [browser] # Internet address where users should point their browsers in order to connect to the app. Can be IP address or DNS name and path. # This is used to: - Set the correct URL for CORS and XSRF protection purposes. - Show the URL on the terminal - Open the browser - Tell the browser where to connect to the server when in liveSave mode. # Default: 'localhost' serverAddress = "localhost" # Whether to send usage statistics to Streamlit. # Default: true gatherUsageStats = true # Port where users should point their browsers in order to connect to the app. # This is used to: - Set the correct URL for CORS and XSRF protection purposes. - Show the URL on the terminal - Open the browser - Tell the browser where to connect to the server when in liveSave mode. # Default: whatever value is set in server.port. serverPort = 8501 [mapbox] # Configure Streamlit to use a custom Mapbox token for elements like st.pydeck_chart and st.map. To get a token for yourself, create an account at https://mapbox.com. It's free (for moderate usage levels)! # Default: "" token = "" [deprecation] # Set to false to disable the deprecation warning for the file uploader encoding. # Default: "True" showfileUploaderEncoding = "True" # Set to false to disable the deprecation warning for the image format parameter. # Default: "True" # # DEPRECATED. # The format parameter for st.image has been removed. # This option will be removed on or after 2021-03-24. # showImageFormat = "True" # Set to false to disable the deprecation warning for using the global pyplot instance. # Default: "True" showPyplotGlobalUse = "True" [s3] # Name of the AWS S3 bucket to save apps. # Default: (unset) #bucket = # URL root for external view of Streamlit apps. # Default: (unset) #url = # Access key to write to the S3 bucket. # Leave unset if you want to use an AWS profile. # Default: (unset) #accessKeyId = # Secret access key to write to the S3 bucket. # Leave unset if you want to use an AWS profile. # Default: (unset) #secretAccessKey = # The "subdirectory" within the S3 bucket where to save apps. # S3 calls paths "keys" which is why the keyPrefix is like a subdirectory. Use "" to mean the root directory. # Default: "" keyPrefix = "" # AWS region where the bucket is located, e.g. "us-west-2". # Default: (unset) #region = # AWS credentials profile to use. # Leave unset to use your default profile. # Default: (unset) #profile = [theme] # The preset Streamlit theme that your custom theme inherits from. One of "light" or "dark". #base = # Primary accent color for interactive elements. #primaryColor = # Background color for the main content area. #backgroundColor = # Background color used for the sidebar and most interactive widgets. #secondaryBackgroundColor = # Color used for almost all text. #textColor = # Font family for all text in the app, except code blocks. One of "sans serif", "serif", or "monospace". # Default: "sans serif" font = "sans serif"