# rShetty/awesome-podcasts

Collection of awesome podcasts

Repository: https://github.com/rShetty/awesome-podcasts
Canonical: https://ross.abutalabs.com/products/awesome-podcasts
License Family: other
Topics: podcast, software, awesome, awesome-list, awesome-lists
Last push: 2024-03-02T17:15:28+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3085, "days_push": 914, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 13083, forks 648 (observed 2026-08-28T04:11:02.015040+00:00)

## What it is
A curated awesome-list of podcasts for software engineers, organized by programming language and technology topic (.NET, JavaScript, DevOps, security, etc.). Entries include descriptions, hosts, frequency, and runtime, with translations in multiple languages.

## Use cases
- find podcasts about software engineering
- discover programming podcasts for a specific language
- find devops or cloud computing podcasts
- listen to podcasts to keep up with tech trends
- find podcasts for learning web development
- recommend tech podcasts to my team

## When to choose
- you want a human-curated directory of software podcasts rather than a search result
- you want podcasts filtered by a specific language or tech stack
- you want multilingual podcast recommendations

## When to avoid
- you need a podcast player or audio playback app
- you want machine-learning-based podcast recommendations
- you need an API or structured data rather than a markdown list

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: developer-tools, awesome-lists, tutorials
- platform: cross-platform
- tags: podcasts, awesome-list, curated-list, software-engineering, audio-learning

## Member repositories
- rShetty/awesome-podcasts (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:02.015040+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:13:32.898518+00:00, confidence not recorded.
  - readme: https://github.com/rShetty/awesome-podcasts (fetched 2026-08-28T04:11:02.015040+00:00, sha eef199f7c0c4)
- Data as of 2026-08-30T08:39:29.467469+00:00.