> For the complete documentation index, see [llms.txt](https://time-series-features.gitbook.io/hctsa-manual/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://time-series-features.gitbook.io/hctsa-manual/installing-and-using-hctsa/setup.md).

# Installing and setting up

The *hctsa* package can be used *completely within Matlab*, allowing users to analyse time-series datasets quickly and easily. Here we will focus on this Matlab-based use of the software, but note that, for larger datasets requiring distributed computing set-ups, or datasets that may grow with time, *hctsa* can also be linked to a *mySQL* database, as described in [a dedicated chapter](/hctsa-manual/installing-and-using-hctsa/overview_mysql_database.md).

## Installing the *hctsa* package

The simplest way to get the *hctsa* package up and running is to run the `install` script, which adds the required paths to dependent time-series packages (toolboxes), and compiles *mex* binaries to work on your system architecture. Once this one-off installation step is complete, you're ready to go! (NB: to include additional functions from the TISEAN nonlinear time-series analysis package, you'll also need to [compile TISEAN routines](/hctsa-manual/installing-and-using-hctsa/setup/compiling_binaries.md)).

After installation, future use of the package can begin by opening Matlab, navigating to the *hctsa* package, and then loading the paths required by the *hctsa* package by running the `startup` script.


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