telepresence
label-studio
telepresence | label-studio | |
---|---|---|
38 | 50 | |
6,347 | 16,546 | |
0.7% | 2.5% | |
9.8 | 9.8 | |
9 days ago | 2 days ago | |
Go | JavaScript | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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telepresence
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12 Factor: 13 years later
Solutions are many, and could include Docker Compose, VS Code dev containers, Telepresence, Localstack or setting up temporary AWS accounts as a development environment for serverless applications.
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New job has no way of coding locally?
I trialled Telepresence[0] for my company 2 or 3 years ago, that does this sort of thing very slickly. It didn't quite work for us back then, I forget why, but I imagine it's come along a way since then.
[0] https://www.telepresence.io
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Introducing a tool for running diagnostic and administrative tools locally on your machine, but with outgoing network connectivity as if they're running in your k8s cluster.
How does this compare to Telepresence?
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Let's debug a kubernetes pod locally
seems to be very similar to https://www.telepresence.io
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Is it ok not to be able to run application locally?
If they're web services you work on, you might try https://www.telepresence.io/ (Requires something to be installed in the cluster though, easily done).
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Best Neovim PHP IDE option?
Depending on the context, the type of code you do, you may want to also look into the sister protocol to LSP, DAP—debug adaptor protocol. It really depends on your context whether local dev, dev against a remote server, and if the latter whether you run under GCP and thus have the “Snapshot Debugger”, or under Kubernetes with something like Ambassadar/Emissary and thus can run Telepresence, whether you do local or remote Docker and thus most IDEs don't necessarily magically work especially if the containers are competently locked down, etc.
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LXD containers on macOS at near-native speeds
If you're on Kubernetes remotely, Telepresence [0] might be worth a look.
[0] https://www.telepresence.io
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I wrote an OSS tool to tunnel your IDE to Kubernetes
Sounds Like Telepresence (https://github.com/telepresenceio/telepresence) which intercepts traffic to a service on the cluster and directs it to your local environment.
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mirrord 3.0 is out - run/debug your code in the context of your k8s cluster
This seems to be very similar to Telepresence, which I just couldn't get to work for us.
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Connecting a local container with a Kubernetes cluster
What the difference with okteto and telepresence ?
label-studio
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Annotation is dead
If instead you have a cohort on hand — -i.e., you do not want to send your data to a third party for any reason, or perhaps you have energetic undergrads — -then you could alternatively consider local, open-source annotation such as CVAT and Label Studio. Finally, nowadays, you might instead work with Large Multimodal Models to have them annotate your data; more on this awkward angle later.
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First 15 Open Source Advent projects
14. LabelStudio by Human Signal | Github | tutorial
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
For instance, the COCO Annotator is a web-based image annotation tool tailored for the COCO dataset format, allowing collaborative labeling with features like attribute tagging and automatic segmentation. Similarly, Label Studio offers an easy-to-use interface for bounding box object labeling in images.
- FLaNK Stack Weekly for 14 Aug 2023
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You Can't Have a Free Software AI Stack
Huh?
I wrote my own system for classifying a stream of texts in Python, I might Open Source it one of these days but I have to get it to the point where it is modular enough that I can customize it to do the particular things I want without subjecting people to my whims... I use it every day and I'm not afraid to demo it because it is rock solid.
My understanding is that my system would not be hard to adapt to work on images for certain kinds of tasks.
Pytorch is open source, Huggingface is open source. CUDA isn't. This is
https://labelstud.io/
and for annotating text spans there are so many open source tools
https://github.com/doccano/doccano
I worked for a company a few years back that built annotation tools for projects we sold to customers but never quite got to a polished general purpose annotator. Today there are an overwhelming number of companies in this space and products I never heard of, many of which are cloud based or paid. Looks like a gold rush to me.
- Label Studio: Open-Source Data Labeling Platform
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Best (quickest) way to annotate images for whole-image classification?
LabelStudio is free for single use. https://labelstud.io/
- Label Studio – Free multi-type data ML labeling and annotation tool
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Way to label yolov7 images fast
LabelStudio is pretty nice, and free & open source, but I have yet to try out their ML integration with a YOLO object detection model.
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image labeling online Tools
Label Studio is an open source data labeling tool that includes annotation functionality. It provides a simple user interface (UI) that lets you label various data types, including text, audio, time series data, videos, and images, and export the information to various model formats.
What are some alternatives?
devspace - DevSpace - The Fastest Developer Tool for Kubernetes ⚡ Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes.
cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]
tilt - Define your dev environment as code. For microservice apps on Kubernetes.
doccano - Open source annotation tool for machine learning practitioners.
Gravitational Teleport - The easiest, and most secure way to access and protect all of your infrastructure.
awesome-data-labeling - A curated list of awesome data labeling tools
skaffold - Easy and Repeatable Kubernetes Development
diffgram - The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
teleport - A WebXR teleport for three.js
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
garden - Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workflows at every step of the process. Speed up your builds and test runs via shared result caching
labelbox-custom-labeling-apps - Explore example custom labeling apps built with Labelbox SDK