Kedro
TextSecure
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Kedro | TextSecure | |
---|---|---|
29 | 985 | |
9,362 | 24,890 | |
1.6% | 0.8% | |
9.7 | 9.9 | |
3 days ago | 6 days ago | |
Python | 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.
Kedro
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Nextflow: Data-Driven Computational Pipelines
Interesting, thanks for sharing. I'll definitely take a look, although at this point I am so comfortable with Snakemake, it is a bit hard to imagine what would convince me to move to another tool. But I like the idea of composable pipelines: I am building a tool (too early to share) that would allow to lay Snakemake pipelines on top of each other using semi-automatic data annotations similar to how it is done in kedro (https://github.com/kedro-org/kedro).
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A Polars exploration into Kedro
# pyproject.toml [project] dependencies = [ "kedro @ git+https://github.com/kedro-org/kedro@3ea7231", "kedro-datasets[pandas.CSVDataSet,polars.CSVDataSet] @ git+https://github.com/kedro-org/kedro-plugins@3b42fae#subdirectory=kedro-datasets", ]
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What are some open-source ML pipeline managers that are easy to use?
So there's 2 sides to pipeline management: the actual definition of the pipelines (in code) and how/when/where you run them. Some tools like prefect or airflow do both of them at once, but for the actual pipeline definition I'm a fan of https://kedro.org. You can then use most available orchestrators to run those pipelines on whatever schedule and architecture you want.
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How do data scientists combine Kedro and Databricks?
We have set up a milestone on GitHub so you can check in on our progress and contribute if you want to. To suggest features to us, report bugs, or just see what we're working on right now, visit the Kedro projects on GitHub.
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How do you organize yourself during projects?
you could use a project framework like kedro to force you to be more disciplined about how you structure your projects. I'd also recommend checking out this book: Edna Ridge - Guerrilla Analytics: A Practical Approach to Working with Data
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Futuristic documentation systems in Python, part 1: aiming for more
Recently I started a position as Developer Advocate for Kedro, an opinionated data science framework, and one of the things we're doing is exploring what are the best open source tools we can use to create our documentation.
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Python projects with best practices on Github?
You can also check out Kedro, it’s like the Flask for data science projects and helps apply clean code principles to data science code.
- Data Science/ Analyst Zertifikate für den Job Markt?
- What are examples of well-organized data science project that I can see on Github?
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Dabbling with Dagster vs. Airflow
An often overlooked framework used by NASA among others is Kedro https://github.com/kedro-org/kedro. Kedro is probably the simplest set of abstractions for building pipelines but it doesn't attempt to kill Airflow. It even has an Airflow plugin that allows it to be used as a DSL for building Airflow pipelines or plug into whichever production orchestration system is needed.
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...)
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Building end-to-end security for Messenger – Engineering at Meta
Here is one: https://github.com/signalapp/Signal-Android/tree/main/reprod...
- 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?
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
undiscord - Undiscord - Delete all messages in a Discord server / channel or DM (Easy and fast) Bulk delete
luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Signal-TLS-Proxy
Dask - Parallel computing with task scheduling
duckduckgo-locales - Translation files for <a href="https://duckduckgo.com"> </a>
cookiecutter-pytorch - A Cookiecutter template for PyTorch Deep Learning projects.
session-desktop - Session Desktop - Onion routing based messenger
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
MaterialAudiobookPlayer - Minimalistic audiobook player
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!
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".