labstreaminglayer

LabStreamingLayer super repository comprising submodules for LSL and associated apps.

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What it is

LabStreamingLayer super repository comprising submodules for LSL and associated apps.

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 PM UTC.

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Observed mentions: 2021-09-07 21:08:00 UTC to 2026-05-16 17:40:15 UTC.

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Period	Start (UTC)	End (exclusive, UTC)	Mentions	Comments
2021	2021-01-01 00:00:00 UTC	2022-01-01 00:00:00 UTC	1	1
2022	2022-01-01 00:00:00 UTC	2023-01-01 00:00:00 UTC	0	0
2023	2023-01-01 00:00:00 UTC	2024-01-01 00:00:00 UTC	0	0
2024	2024-01-01 00:00:00 UTC	2025-01-01 00:00:00 UTC	0	0
2025	2025-01-01 00:00:00 UTC	2026-01-01 00:00:00 UTC	0	0
2026 (partial)	2026-01-01 00:00:00 UTC	2027-01-01 00:00:00 UTC	1	1

What Hacker News says

2 sources

teleforce·May 16, 2026

Website and Github link for LSL: [1] Lab Streaming Layer: https://labstreaminglayer.org/ [2] Lab streaming layer (LSL) https://github.com/sccn/labstreaminglayer

In LSL: Open-source lab streaming layer for synchronized multimodal recording

58x14·Sep 7, 2021

I have a Muse 2 [1] and a Flowtime [2]; both are consumer-oriented portable EEGs using Bluetooth to transmit data displayed on their respective mobile apps. The Muse hardware is seriously inhibited by the same user-exploitative trends we see everywhere, accompanied by meaningless promises. Many researchers used the Muse SDK and API until they discontinued it in 2019 [3] in favor of Muse Direct - another way to force users to feed Muse their data and lock them into a subscription. Unsurprisingly, this was also abandoned [4] and they claim "We're working on a solution that allows you to collect raw EEG data using the free to download" app, which would still allow Muse complete control over your authentication, use and data. Ugh. At least the community has reverse-engineered the LSL protocol and built a Python package [5]. Flowtime claimed t

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hat it offers a closed API, as they don't have the resources to maintain an open API [6]. I remember somewhere they claimed it was on their roadmap, but I searched again today and couldn't find any support of their claim. BrainBit [7] and NextMind [8] seem to provide more robust developer tools, although I have no experience. Naturally, each of these runs more than double the ~$200 cost of the Muse and Flowtime devices. I have no formal neurological education but I strongly believe non-invasive EEGs, combined with novel, gamified training techniques coupled with machine learning will usher in a new era of digital interactions. Like the transition from tactile smartphone keypads to the eventually-ubiquitous full touchscreen, I expect many design iterations in both hardware and software will produce utterly fascinating products. I can't wait to get excited again for a product launch. [1] https://choosemuse.com/muse-2/ [2] https://www.indiegogo.com/projects/flowtime-biosensing-medit... [3] https://github.com/sccn/labstreaminglayer/issues/30 [4] https://choosemuse.force.com/s/article/Muse-Direct-Subscript... [5] https://github.com/alexandrebarachant/muse-lsl [6] https://www.kickstarter.com/projects/987756376/flowtime-bios... [7] https://sdk.brainbit.com/ [8] https://www.next-mind.com/developer/

In A soft, wearable brain–machine interface