orchest | siad | |
---|---|---|
44 | 147 | |
4,022 | 129 | |
0.1% | 1.6% | |
4.5 | 5.4 | |
11 months ago | 4 months ago | |
TypeScript | Go | |
Apache License 2.0 | MIT License |
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.
orchest
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Decent low code options for orchestration and building data flows?
You can check out our OSS https://github.com/orchest/orchest
- Build ML workflows with Jupyter notebooks
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Building container images in Kubernetes, how would you approach it?
The code example is part of our ELT/data pipeline tool called Orchest: https://github.com/orchest/orchest/
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Launch HN: Patterns (YC S21) – A much faster way to build and deploy data apps
First want to say congrats to the Patterns team for creating a gorgeous looking tool. Very minimal and approachable. Massive kudos!
Disclaimer: we're building something very similar and I'm curious about a couple of things.
One of the questions our users have asked us often is how to minimize the dependence on "product specific" components/nodes/steps. For example, if you write CI for GitHub Actions you may use a bunch of GitHub Action references.
Looking at the `graph.yml` in some of the examples you shared you use a similar approach (e.g. patterns/openai-completion@v4). That means that whenever you depend on such components your automation/data pipeline becomes more tied to the specific tool (GitHub Actions/Patterns), effectively locking in users.
How are you helping users feel comfortable with that problem (I don't want to invest in something that's not portable)? It's something we've struggled with ourselves as we're expanding the "out of the box" capabilities you get.
Furthermore, would have loved to see this as an open source project. But I guess the second best thing to open source is some open source contributions and `dcp` and `common-model` look quite interesting!
For those who are curious, I'm one of the authors of https://github.com/orchest/orchest
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Argo became a graduated CNCF project
Haven't tried it. In its favor, Argo is vendor neutral and is really easy to set up in a local k8s environment like docker for desktop or minikube. If you already use k8s for configuration, service discovery, secret management, etc, it's dead simple to set up and use (avoiding configuration having to learn a whole new workflow configuration language in addition to k8s). The big downside is that it doesn't have a visual DAG editor (although that might be a positive for engineers having to fix workflows written by non-programmers), but the relatively bare-metal nature of Argo means that it's fairly easy to use it as an underlying engine for a more opinionated or lower-code framework (orchest is a notable one out now).
- Ideas for infrastructure and tooling to use for frequent model retraining?
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Looking for a mentor in MLOps. I am a lead developer.
If you’d like to try something for you data workflows that’s vendor agnostic (k8s based) and open source you can check out our project: https://github.com/orchest/orchest
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Is there a good way to trigger data pipelines by event instead of cron?
You can find it here: https://github.com/orchest/orchest Convenience install script: https://github.com/orchest/orchest#installation
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How do you deal with parallelising parts of an ML pipeline especially on Python?
We automatically provide container level parallelism in Orchest: https://github.com/orchest/orchest
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Launch HN: Sematic (YC S22) – Open-source framework to build ML pipelines faster
For people in this thread interested in what this tool is an alternative to: Airflow, Luigi, Kubeflow, Kedro, Flyte, Metaflow, Sagemaker Pipelines, GCP Vertex Workbench, Azure Data Factory, Azure ML, Dagster, DVC, ClearML, Prefect, Pachyderm, and Orchest.
Disclaimer: author of Orchest https://github.com/orchest/orchest
siad
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How Web3 Decentralization Can Dismantle Big Tech Monopolies in 2024
For example, decentralized data storage projects like Filecoin, Arweave, and Sia posted 50-100% user growth, providing blockchain-powered alternatives to AWS, Google Cloud, and Dropbox for distributed app data security.
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Team develops a faster, cheaper way to train large language models
Sia - A decentralized data storage platform where the proof of work helps maintain the network and provide storage services.
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Get Started with Sia
Our site: https://sia.tech/ Blockchain explorer: https://explore.sia.tech/ How to get Siacoins: https://sia.tech/community-ecosystem?software=exchanges#software The Sia Foundation team: https://sia.tech/about-sia-foundation The Sia Grants Program: https://forum.sia.tech/c/foundation/grants/8 Sia docs: https://docs.sia.tech
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What is the best way to utilize your cryptocurrency during a Bear Market?
Sia
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Popular Pirate Bay Proxy Site Disappears from GitHub
If I'm following correctly, I believe this is basically what Sia does, although not optimized to be used directly as a media server (or maybe it could?).
https://sia.tech/
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Crypto Software
Not sure what you aught to do, but I will say the 2 projects Im paying attention to are https://www.helium.com/mine and https://sia.tech/
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Can decentralized storage compete with traditional cloud? Analyzing the available decentralized storage options
For consumer storage, Sia, Storj, and Vult (on Züs) can be good options since they are architecturally lower cost because of the erasure code technology. But for enterprise storage, among the available platforms, there isn’t a direct competitor to AWS S3 except for Zus, and archive storage, Filecoin is the best alternative, and for consumer storage, Storj, Sia, and Züs offer better options for fast retrieval times.
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Being poor and a datahoarder is a nightmare. Is there a more efficient way of saving things?
As long as your needs are not beyond a TB, you can always consider something that does not require an actual "login" or a national currency, such as using SIAcoin (https://sia.tech). The cost for a terabyte hosted in two places often will cost you under the equivalent of $6-8 per month. It takes getting used to, but since it is blockchain based, it might even be possible for you to mine the means of paying for your cloud storage if what you actually need hosted is low enough.
- Monetize this addiction
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Is there really no way to delete something uploaded to Arweave? I would prefer if I as the owner of the content could do that.
SiaCoin which is the utility token for the Sia ecosystem https://sia.tech/
What are some alternatives?
docker-airflow - Docker Apache Airflow
nakama - Distributed server for social and realtime games and apps.
hookdeck-cli - Receive events (e.g. webhooks) in your development environment
node - Source code for Akash node, a secure, transparent, and peer-to-peer cloud computing network
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
node - Mysterium Network Node - official implementation of distributed VPN network (dVPN) protocol
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
skynet-cli - a lightweight cli to interact with Skynet
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
Bitcoin Treasuries
Node RED - Low-code programming for event-driven applications
protocol-v2 - Aave Protocol V2