amplify
memphis
amplify | memphis | |
---|---|---|
3 | 52 | |
10 | 3,158 | |
- | 0.9% | |
7.5 | 9.9 | |
9 months ago | 5 days ago | |
Go | Go | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
amplify
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Jupyter Lab Extension to run your GPU-heavy stuff (for free for now) on somebody's else server without blocking yours
When using Jupyter Lab and running GPU-heavy notebooks are you annoyed that your computer is not usable for anything else? I made an extension which allows you to run complex AI inference, training,... remotely on decentralized servers [see bacalhau.org]. This allows you to work on multiple GPU-heavy notebooks in parallel. For now Bacalhau is free, so this is a really cool way to run GPU stuff.
- Introducing Bacalhau Amplify: a tool/service that aims to automatically enrich, enhance, and explain your data
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[P] CleanVision: Audit your Image Data for better Computer Vision
Nice! Thanks for this. Will try this in a project I'm working on: https://github.com/bacalhau-project/amplify/issues/26
memphis
- Memphis
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What type of open source contributions can I make that improve my core data engineering skills? Are there any projects that require help of that nature? What are they?
Hey check out the first good issues in the Memphis.dev open source
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I want to create beginners Data Pipeline with SQL, Python etc. Any expert suggestions on like (Tools, Processes, Sources).
Try Memphis.dev blog or you can check out Github
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What's an ideal project structure for a Golang web service?
- https://github.com/memphisdev/memphis
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Connect Memphis as an Argo event source
Argo is a collection of open-source tools for Kubernetes to run workflows, manage clusters, and do GitOps easily. Memphis is an open-source next-generation alternative to traditional message brokers.
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Creating a brand new data infrastructure for a small company
I have dealt with the same problem. It depends what are the cycle intervals. If for example, it's every few minutes maybe it's worth keeping a machine on the cloud and the DB on that machine. in my opinion, it's a little bit expensive. The thing that worked for me is to run once a day a lambda function and store the data on a message broker. You should take a look at memphis.dev which is open-source and very easy to work with.
- I’m looking for a suggestion for a queuing library
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Memphis: Low-code real-time data processing platform
Image Source
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Memphis.dev v0.4.2
Join our 2K stargazers on Github and try Memphis out, I am sure you are going to be surprised 📷 https://github.com/memphisdev/memphis-broker
- Memphis.dev v0.2.4 is out!
What are some alternatives?
Dataplane - Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows.
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
rtdl - rtdl makes it easy to build and maintain a real-time data lake
ApacheKafka - A curated re-sources list for awesome Apache Kafka
cleanvision - Automatically find issues in image datasets and practice data-centric computer vision.
Nodejs-Developer-Roadmap - A Developer Roadmap to becoming a Node.js developer in 2019
cleanvision-examples - Notebooks demonstrating example applications of the cleanvision library
kubernetes - Production-Grade Container Scheduling and Management
deailab - Decentralised AI Jupyter Lab Extension
compression - Node.js compression middleware
v8.dev - The source code of v8.dev, the official website of the V8 project.
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!