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reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["analyser","chains","segmentation","workflow"],"created_at":"2026-01-14T08:04:00.409Z","updated_at":"2026-01-14T08:04:01.129Z","avatar_url":"https://github.com/jamesb93.png","language":"Python","readme":"# ftis - finding things in stuff\n\n`ftis` is a framework for data manipulation, management, creation and munging in Python 3.8+. It is designed for creative use, mainly for my own preoccupations with segmenting, analysing, organising, discovering structure within, and composing with audio corpora.\n\n## Architecture\nThe overall architecture can be conceived in two parts; 'analysers' and 'worlds'. A `ftis` 'world' can house any number of 'analysers' that can be chained and connected in different ways. A python script can house any number of worlds and therefore you can compose multiple processes. Inside of a world, `ftis` makes connections between a source, the analysers and an output (known as the _sink_).\n\n## Installation\nYou can install `ftis` using `pip install ftis`. This will pull down the necessary dependencies so that all of the analysers that ship with `ftis` work straight away.\n\nYou can also fork this repository and `clone` it to your machine.\n\n## Workflow\nThe simplest setup is to have a virtual environment setup with ftis installed as a module. `cd` to the clone of your fork of `ftis` and enter the module (the directory containing `setup.py`). Once there run `pip install -e .` to install `ftis` to your activated virtual environment. Once you've designed your script you can easily run it with `python mycoolscript.py`. Of course if you have used `pip` to install `ftis` then none of the previous advice applies.\n\nThere are some good examples of scripts in the examples directory of this repository. Otherwise the basic structure looks like this:\n\n```python\n\n# import ftis modules that we need\nfrom ftis.analyser.slicing import FluidNoveltyslice # novelty slicing\nfrom ftis.world import World # a ftis 'world'\nfrom ftis.corpus import Corpus # a corpus object\n\nsrc = Corpus(\"~/corpus-folder/corpus1\") # corpus object collects audio files at this directory\nout = \"~/corpus-folder/slicing\" # set an output folder\n\n# instantiate an instance of the process\nworld = World(sink=out)\n\n# Connect together processes using \u003e\u003e\nsrc \u003e\u003e FluidNoveltySlice(threshold=0.35, feature=1) \u003e\u003e ExplodeAudio()\n\n# now add a Corpus node to our world\nworld.build(src)\n\nif __name__ == \"__main__\":\n    world.run() # finally run the chain of connected analysers\n```\n\nand thats it! For more information read the full documentation.\n\n## Contributing\n\nIf you feel up to contributing plumbing code or your own analysers please feel free to do via github.\n\n1. Fork this repository\n2. Checkout a branch with your new feature\n3. Implement feature\n4. Make a pull request!\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjamesb93%2Fftis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjamesb93%2Fftis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjamesb93%2Fftis/lists"}