orchest
TextSecure
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orchest | TextSecure | |
---|---|---|
44 | 985 | |
4,020 | 24,864 | |
0.2% | 0.6% | |
4.5 | 9.9 | |
11 months ago | about 11 hours ago | |
TypeScript | Java | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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.
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
TextSecure
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The xz sshd backdoor rabbithole goes quite a bit deeper
Moxie's reasons for disallowing Signal distribution via F-droid always rang a little flat to me ( https://github.com/signalapp/Signal-Android/issues/127 ). Lots of chatter about the supposedly superior security model of Google Play Store, and as a result fewer eyes independently building and testing the Signal code base. Everyone is entitled to their opinions, but independent and reproducible builds seem like a net positive for everyone. Always struggled to understand releasing code as open source without taking advantage of the community's willingness to build and test. Looking at it in a new light after the XZ backdoor, and Jia Tan's interactions with other FOSS folk.
- WhatsApp forces Pegasus spyware maker to share its secret code
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Signal: Keep your phone number private with Signal usernames
Signal has documentation on how to reproduce their Play Store builds and compare them with what you've installed locally:
https://github.com/signalapp/Signal-Android/blob/main/reprod...
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Signal v7.0.0 with phone number privacy
There's nothing on Signal blog as of yet, but Signal's git repository was tagged with v7.0.0 yesterday and we can see from the commit history since the previously tagged version (v6.74.4) that there will be a setting to hide one's phone number [1], as well as disabling the previous default behavior of advertising that one is on Signal to all their contacts already using it [2].
[1] https://github.com/signalapp/Signal-Android/commit/8797236b5... (PNP stands for "Phone Number Privacy")
[2] https://github.com/signalapp/Signal-Android/commit/6097e6c30...
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What are you shocked people are still doing nowadays?
Signal works the same but without the user tracking from Meta/Facebook. Many people use it as well but I'm surprised that a majority sticks to WhatsApp.
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Apple has seemingly found a way to block Android’s new iMessage app
Telegram and Signal solve this.
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Apple Just Confirmed Governments Are Spying on People’s Phones With Push Notifications
Sadly yes: Looks like an open issue 13290 for Signal, sounds like they were/are indeed still interacting through google's push notification service, wat, and per a link at that issue it was a chore for Tutanota to break away once they realised it was a problem some years ago (though at least they thought about it years ago? wtf Signal...)
- Building end-to-end security for Messenger – Engineering at Meta
- Are Signal Notifications Encrypted ?
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Facebook & Messenger finally get end-to-end encryption
Rule 1: Posts to r/signal must relate to Signal.
What are some alternatives?
docker-airflow - Docker Apache Airflow
undiscord - Undiscord - Delete all messages in a Discord server / channel or DM (Easy and fast) Bulk delete
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Signal-TLS-Proxy
hookdeck-cli - Manage your Hookdeck workspaces, connections, transformations, filters, and more with the Hookdeck CLI
duckduckgo-locales - Translation files for <a href="https://duckduckgo.com"> </a>
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
session-desktop - Session Desktop - Onion routing based messenger
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
MaterialAudiobookPlayer - Minimalistic audiobook player
Node RED - Low-code programming for event-driven applications
Signal-Android - Patches to Signal for Android removing dependencies on closed-source Google Mobile Services and Firebase libraries. In branches whose names include "-FOSS". Uses new "foss" or "gms" flavor dimension: build with "./gradlew assemblePlayFossProdRelease".