telepresence
haystack
| telepresence | haystack | |
|---|---|---|
| 38 | 55 | |
| 6,359 | 13,711 | |
| 0.9% | 3.1% | |
| 9.8 | 9.9 | |
| 14 days ago | 6 days ago | |
| Go | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
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 ?
haystack
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Haystack DB – 10x faster than FAISS with binary embeddings by default
I was confused for a bit but there is no relation to https://haystack.deepset.ai/
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Release Radar • March 2024 Edition
View on GitHub
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First 15 Open Source Advent projects
4. Haystack by Deepset | Github | tutorial
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Generative AI Frameworks and Tools Every Developer Should Know!
Haystack can be classified as an end-to-end framework for building applications powered by various NLP technologies, including but not limited to generative AI. While it doesn't directly focus on building generative models from scratch, it provides a robust platform for:
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Best way to programmatically extract data from a set of .pdf files?
But if you want an API that you can use to develop your own flow, Haystack from Deepset could be worth a look.
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Which LLM framework(s) do you use in production and why?
Haystack for production. We cannot afford breaking changes in our production apps. Its stable, documentation is excellent and did I mention its' STABLE!??
- Overview: AI Assembly Architectures
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Llama2 and Haystack on Colab
I recently conducted some experiments with Llama2 and Haystack (https://github.com/deepset-ai/haystack), the NLP/LLM framework.
The notebook can be helpful for those trying to load Llama2 on Colab.
1) Installed Transformers from the main branch (and other libraries)
- Build with LLMs for production with Haystack – has 10k stars on GitHub
- Show HN: Haystack – Production-Ready LLM Framework
What are some alternatives?
devspace - DevSpace - The Fastest Developer Tool for Kubernetes ⚡ Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes.
langchain - 🦜🔗 Build context-aware reasoning applications
tilt - Define your dev environment as code. For microservice apps on Kubernetes.
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
Gravitational Teleport - The easiest, and most secure way to access and protect all of your infrastructure.
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
skaffold - Easy and Repeatable Kubernetes Development
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
teleport - A WebXR teleport for three.js
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
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
jina - ☁️ Build multimodal AI applications with cloud-native stack