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. Learn more →
Top 19 Go lightning-network Projects
-
Project mention: If I connect a personal wallet to my Bitcoin Lightning node, do I have to open a channel? | /r/BitcoinBeginners | 2023-07-30
If you want multiple users, you'll need multiple node instances. LNbits (mentioned by /u/sos755) does not implement this. Rather, it simply abstracts the funds associated with a single node into multiple logical accounts. This means that the node administrator still has underlying control of all funds associated with the node. See this GitHub discussion for a bit more info: https://github.com/lightningnetwork/lnd/issues/2652
-
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
-
-
-
It's valuable to examine the challenges in machine learning without assuming decentralization as a solution:
> High Cost and Resource Requirements
For training and local inferencing use, quantization may help. Problem becomes local via quantization vs. remote full tensor use. Solution may involve distributed inferencing. Techniques like model distillation can help create smaller, more efficient models for inferencing.
> Data Privacy
For training, some private datasets may be needed. For local inferencing use, determining what needs to be inferenced locally vs. what needs to be run remotely may be useful. Problem becomes privacy scope mapped onto a marketplace to mitigate high cost and resource requirements. Techniques like model explainability (versioning) and robustness testing can help build trust in AI systems.
Complying with data privacy regulations and ensuring that AI systems adhere to legal and ethical standards can be a challenge, especially in international contexts.
> Incentives
Instead of assuming the solution when considering the problem, we assume there is an incentive to either simply train a model or use one. Problem becomes financial rewards, data access agreements, or even altruistic motivations.
> Stale Data and Reproducibility
Both the code and datasets for training the model need to be updated. Inferencing needs RAG, so the augmented reference data needs to be updated as well. Anything updated might need some type of revision control, especially if that data (or code) results in poor output. Labeling data and knowledge transfer are another problems that needs revision control.
> Interoperability
We can assume a marketplace for a ML train/inference platform is needed. We have HuggingFace, for example. The problem here is likely based on the tendency for datasets to be private, such as in the case of Llama 2. Models contain the "essence" of the dataset, but we still need RAG to ground the responses.
There does exist one technology that may assist in solving most of these issues without assuming full decentralization, and that is the Lightning Network combined with the yet to be implemented 402 response code: https://github.com/lightninglabs/aperture
-
-
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.
-
-
-
Usually lightning payments don't require the use of debit/credit cards. There is a new protocol called boltcard that allows you to make lightning payments with a prepaid NFC card (https://github.com/boltcard/boltcard). This is very cool but it's in its early stages of adoption.
-
lndhub.go
Accounting wrapper for the Lightning Network. It provides separate accounts for end-users. (LndHub compatible API written in Go)
-
-
Project mention: GitHub - indra-labs/indra: Distributed Virtual Private Network Powered By Bitcoin Lightning | /r/BitcoinTechnology | 2023-06-26
-
-
-
-
agent
bolt-agent enables you to automate your node management through our bolt.observer platform (by bolt-observer)
Project mention: Boost your node operations with workflows & auto swaps! | /r/lightningnetwork | 2023-04-25For auto swap-in, we also enable automatic channel opening if there is no route/liquidity to the node. We just need to enable flag on our agent https://github.com/bolt-observer/agent
-
go-lnmetrics.reporter
:bar_chart: Reference implementation written in Go to collect and report of the lightning node metrics :bar_chart:
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Go lightning-network related posts
- Decentralized Artificial Intelligence
- If I connect a personal wallet to my Bitcoin Lightning node, do I have to open a channel?
- recommendations for a docker container
- Bitcoin is “logical currency choice for AI”
- National Geographic lays off its last remaining staff writers
- GitHub - indra-labs/indra: Distributed Virtual Private Network Powered By Bitcoin Lightning
- GitHub - indra-labs/indra: Distributed Virtual Private Network Powered By Bitcoin Lightning
-
A note from our sponsor - InfluxDB
www.influxdata.com | 28 Mar 2024
Index
What are some of the best open-source lightning-network projects in Go? This list will help you:
Project | Stars | |
---|---|---|
1 | lnd | 7,427 |
2 | neutrino | 865 |
3 | mixin | 505 |
4 | lightning-onion | 390 |
5 | nigiri | 249 |
6 | aperture | 224 |
7 | lntop | 180 |
8 | LightningTipBot | 104 |
9 | lightningtip | 92 |
10 | boltcard | 90 |
11 | lndhub.go | 83 |
12 | trustedcoin | 55 |
13 | indra | 48 |
14 | regolancer | 40 |
15 | falafel | 31 |
16 | etleneum | 14 |
17 | agent | 13 |
18 | go-lnmetrics.reporter | 8 |
19 | raiju | 6 |