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Top 23 Python Streaming Projects
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streamlink
Streamlink is a CLI utility which pipes video streams from various services into a video player
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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vidgear
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
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Twitch-Channel-Points-Miner-v2
A simple script that will watch a stream for you and earn the channel points.
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kawaii-player
Multimedia player, media library manager and portable media server with PC-To-PC casting feature.
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overpass
A self-hosted live video streaming platform with Discord authentication, auto-recording and more! (by GOATS2K)
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excludarr
Excludarr manages your libraries in Radarr/Sonarr. It keeps track of your library and checks if your movies and series are also available on a configured streaming provider. It can exclude the movies and series that are available on a configured streaming provider. But it can also re-add movies and series if they are not streaming anymore.
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It doesn't look like Streamlink is immune to the challenges of Twitch ads: https://github.com/streamlink/streamlink/issues/4949
Project mention: Tribler: An attack-resilient micro-economy for media | news.ycombinator.com | 2024-04-25I noticed that too:
https://github.com/Tribler/tribler/wiki/%22TrustChain%22-arc...
But not much else about it. Would be interested to read more. Using torrent seeding as a form of Proof-of-Work that rewards tokens is actually an interesting use case for cryptocurrency, and not as energy-hungry.
My experience that played out over the last few weeks lead me to a similar belief, somewhat. For rather uninteresting reasons I decided I wanted to create mp4 videos of an animation programmatically, from scratch.
The first solution suggested when googling around is to just create all the frames, save them to disk, and then let ffmpeg do its thing from there. I would have just gone with that for a one-off task, but it seems like a pretty bad solution if the video is long, or high res, or both. Plus, what I really wanted was to build something more "scalable/flexible".
Maybe I didn't know the right keywords to search for, but there really didn't seem to be many options for creating frames, piping them straight to an encoder, and writing just the final video file to disk. The only one I found that seemed like it could maybe do it the way I had in mind was VidGear[1] (Python). I had figured that with the popularity of streaming, and video in general on the web, there would be so much more tooling for these sorts of things.
I ended up digging way deeper into this than I had intended, and built myself something on top of Membrane[2] (Elixir)
[1] https://abhitronix.github.io/vidgear/
Project mention: “YouTube-dlc” the fork of the port from “YouTube-dl” | news.ycombinator.com | 2023-08-26
Project mention: Choosing Between a Streaming Database and a Stream Processing Framework in Python | dev.to | 2024-02-10We understood how streaming databases differ from traditional databases, stream processing engines, conventional analytics databases, or OLAP databases. Now let’s focus on when and why we can use stream data processing frameworks for Python as an alternative to streaming databases. Python is the go-to language for data science and machine learning. There are some stream-processing libraries and frameworks in Python such as Bytewax, Quix, GlassFlow, Pathway. They have been developed to cope with the challenges Python Engineers face with Apache Kafka or Flink since they do not natively support Python.
Open up QFIL (which should have been installed as part of the QPST tool). Click "Configuration" -> "FireHose Configuration" and in the window which pops up change the "Device Type" to UFS as informed by the article here "https://www.ereaderpro.co.uk/en/blogs/news/e-ink-product-follow-up-boox-tab-mini-c-and-page-versus-previous-generation". The article indicates that the device uses UFS2.1 as it's storage protocol. It also indicates that the device uses a Qualcomm® Snapdragon™ 662. In order to properly program the chip we need an appropriate programmer which is `prog_firehose_life_ddr_patched.zip`. The driver to communicate with the Qualcomm chip was originally found in a git thread (https://github.com/bkerler/edl/issues/200) attached to a comment as `prog_firehose_life_ddr_patched.zip` here: https://github.com/bkerler/edl/files/7991604/prog_firehose_life_ddr_patched.zip. To use this change the "Select Build Type" to be "Flat Build" and then click "Browse" for the "Programmer Path" and point it to `prog_firehose_life_ddr_patched.zip`.
https://github.com/itsToggle/plex_debrid supports Plex/Emby/Jellyfin/Infuse
Project mention: radio-active: Play any radios from the terminal | news.ycombinator.com | 2023-11-27
Maybe this? https://tidalapi.netlify.app/ https://github.com/tamland/python-tidal
Python Streaming related posts
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AIM Weekly 27 May 2024
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Tribler: An attack-resilient micro-economy for media
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Forget spaceships; I just want my music
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Jellyfin + RD
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Remote Download?
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FLaNK Stack Weekly 09 Oct 2023
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Why HTTP/3 is eating the world
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A note from our sponsor - SaaSHub
www.saashub.com | 28 May 2024
Index
What are some of the best open-source Streaming projects in Python? This list will help you:
Project | Stars | |
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1 | streamlink | 9,636 |
2 | river | 4,816 |
3 | tribler | 4,711 |
4 | vidgear | 3,230 |
5 | smart_open | 3,101 |
6 | yt-dlc | 2,846 |
7 | pathway | 1,968 |
8 | edl | 1,428 |
9 | plex_debrid | 1,376 |
10 | Twitch-Channel-Points-Miner-v2 | 1,198 |
11 | gridplayer | 1,042 |
12 | streaming | 974 |
13 | hidamari | 878 |
14 | xbmc | 748 |
15 | kawaii-player | 605 |
16 | zipfly | 519 |
17 | radio-active | 457 |
18 | DXcam | 436 |
19 | Botflix | 415 |
20 | python-tidal | 386 |
21 | overpass | 344 |
22 | supysonic | 258 |
23 | excludarr | 191 |
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