bpftrace VS streamlit

In this blog, I will present secimport — a toolkit for creating and running sandboxed applications in Python that utilizes eBPF (bpftrace) to secure Python runtimes.

I haven't come across of any project like that, but in case anyone wants to implement this and doesn't know where to start, here's a way to do it on a freedesktop-compatible linux:

Make a userspace daemon process that adds eBPF tracepoints[0] to open{,_at} etc syscalls which match files of your user directories with specific extensions (e.g. .docx).

Associate PIDs that open those files with their .desktop entries[1]

Store results in some database like sqlite3.[2]

Search this database with your favorite interface, like a CLI script or a GNOME shell search provider[3].

I have seen this Rust project on HN which does something similar but with file attribute syscalls, you can use it as reference: https://github.com/javierhonduco/sweeper

[0]: https://github.com/iovisor/bpftrace

I develop a python tool that allows you to trace a Python process line by line or the functions' entries and returns. It uses USDT(User Statically-Defined Tracing) probes with bpftrace.

bpftrace and/or bpfcc-tools can also be useful (dpkg -L bpftrace to see available tools). You can monitor files being opened/written at kernel level (opensnoop*, filelife*, filetop*), connections being established (tcp*bpfcc), etc.

Similar to this method is bpftrace: https://github.com/iovisor/bpftrace/blob/master/tools/execsnoop.bt

uname -a Linux ying 5.18.5-200.fc36.x86_64 #1 SMP PREEMPT_DYNAMIC Thu Jun 16 14:51:11 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux

Note that there are many tools that make this easier/simpler to prototype, including chainlit, streamlit, etc… The backend API we built is amenable to interacting with them as well.

2.-Go to https://streamlit.io, log in, and create a new app from your GitHub repository.

Developed using Langchain and Streamlit technologies for enhanced performance.

Hello,

Have you ever seen the https://streamlit.io/ ? I think this is what you are looking for.

While building dashboards in Streamlit, I found myself really missing Buefy's (Bulma) modern web components.

Specially due to the inability to add new values to Streamlit's multiselect [1], some missing controls like a polished image carousel [2] or a highly customizable data table.

Long story short, we put together streamfy (Streamlit + Buefy) as an MIT licensed project in GitHub to bring Buefy to Streamlit.

Demo: https://streamfy.streamlit.app

All the form components are implemented, missing half of other non-form UX components. There is plenty of room for PRs, testing, feedback, documentation, example, etc.

Please send issues and contributions to GitHub project [3] and general feedback to X / Twitter [4]

Thanks!

[1] https://github.com/streamlit/streamlit/issues/5348

Here's your savior, let's welcome Streamlit.

Looks cool. How do you see this differing from streamlit? https://streamlit.io/

Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.

In this tutorial, you'll construct a fully functional Streamlit application from the ground up. Streamlit lets you turn simple data scripts into web applications without traditional front-end tools. This application will be capable of downloading audio from any YouTube video, transcribing it using Deepgram, and then summarizing the content with the assistance of Mistral 7B, all streamlined through the capabilities of Langchain.