Django Podcast Analyzer
A simple Django app that allows you to follow the feeds of various podcasts and glean interesting information from them.
Warning
This is early stage! Things that still need to be done:
- Improved third party analytics detection.
- Improved podcast host company detection.
- Improved docs.
Installation
Via pip:
python -m pip install django-podcast-analyzer
Via uv:
uv pip install django-podcast-analyzer
Then add it and our dependencies to your list of installed apps.
# settings.py
# Your setup may vary.
INSTALLED_APPS = [
"django.contrib.auth",
"django.contrib.contenttypes",
"django.contrib.sessions",
"django.contrib.sites",
"django.contrib.messages", # Optional
"django.contrib.staticfiles",
"django.contrib.admin",
"django.forms",
...,
# Here are our explict dependencies
"tagulous",
"django_q",
"podcast_analyzer",
]
We use tagulous for tagging podcasts and django-q2 to handle the scheduled tasks related to fetching feeds and processing them. See the documentation for both of those projects to identify any additional configuration needed.
Add it to your urls.py:
# Your root urls.py
from django.urls import include, path
urlpatterns = [
...,
path("podcasts/", include("podcast_analyzer.urls", namespace="podcasts")),
...,
]
Then run your migrations.
python manage.py migrate
You'll also want to seed the database with the known iTunes categories for podcasts. You can do this via the provided management command. It will only do so if the respective tables are empty so you won't get duplicates.
python manage.py seed_database_itunes
In order to run the application, you will also need to spawn a django-q cluster using
python manage.py qcluster. You can also use a runner like honcho
or a Supervisor app.
Other Recommendations
For storage of podcast art and other media, it's recommended you consider using something like django-storages.
Development
Contributions are welcome! See our contributing guide for details.
Metadata
Release files for django-podcast-analyzer 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| django_podcast_analyzer-0.6.0.tar.gz | 67.5 kB | Without provenance | Details for django_podcast_analyzer-0.6.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| django_podcast_analyzer-0.6.0-py3-none-any.whl | Python 3 | none | any | Details for django_podcast_analyzer-0.6.0-py3-none-any.whl |
Total release size: 126.5 kB
Release files / django_podcast_analyzer-0.6.0.tar.gz
| Download URL | django_podcast_analyzer-0.6.0.tar.gz |
|---|---|
| Size | 67.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.19
|
Release files / django_podcast_analyzer-0.6.0-py3-none-any.whl
| Download URL | django_podcast_analyzer-0.6.0-py3-none-any.whl |
|---|---|
| Size | 59.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
bdc79915c6bd344e139ae53699e295babf8fafbf5ceb4576182b37889015aaed
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.19
|
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