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Opensource by Reddit
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Synthalingua v1.2.5 - Open-Source, Self-Hosted Real-Time AI Translation & Trannoscription (100% Local, No Cloud)

Hey r/opensource! I'm the dev behind Synthalingua \-a fully open-source, privacy-first AI tool that transcribes and translates audio in real time, all on your own machine.

GitHub: github.com/cyberofficial/Synthalingua
License: AGPL v3
Built Windows Download: itch.io (Contains a useful GUI to use)

# What It Does

Real-time translation from 70+ languages → English (or any supported target via Whisper)
Works with live streams (YouTube, Twitch), microphones, or local files
Generates SRT subnoscripts, burns them into video, or embeds as tracks
AI vocal isolation \- strips background music/noise automatically
Outputs to console, Discord webhook, or local web server (so you can use on OBS for example.)
Silence detection, repetition suppression, blocklists, word-level timestamps

All processing happens locally. No data leaves your device.

# Latest: v1.2.5 (Oct 2025)

Adaptive batch processing \- smarter CPU/GPU load balancing for long videos for generating sub noscripts/captions.
Up to 3x faster subnoscript generation on mixed workloads, check out the new and improved batch mode processing for creating subnoscripts. https://streamable.com/7b2by2
Improved AMD GPU support on Linux (still experimental as I don't have an AMD device so stuff is dependent on if an AMD user submits a bug report or not.)
Portable GUI builds (Windows) - no Sys Python install needed

# Tech Stack

Python 3.12 + PyTorch
Whisper, SeamlessM4T, Demucs, FFmpeg
CUDA (NVIDIA), ROCm (AMD, Linux), CPU fallback
Minimal dependencies, full setup noscript included

# Why I Built It

The first public release dropped Mar 30, 2023, (just from a single noscript), and for the past two years, I've been perfecting it, tuning every detail, and crafting it with passion.

It started as a personal fix: I wanted to follow Japanese VTuber streams live, without waiting days for fan subs. Now it's used by language learners, meeting recorders, accessibility advocates, and global communities.

The mission remains: break language barriers - without ever sacrificing privacy.

For a long time, I kept it quiet, not out of secrecy, but insecurity. I advertised it twice but. I didn't want to keep "advertising" something i felt like it half-baked about a year ago. It spread slowly through word of mouth, and that felt safe and sane for me. But after two years of relentless iteration, hundreds of fixes, a poor 3090 getting abused daily , and features I'm genuinely proud of, I'm finally ready to share it openly. Not as a pitch - just as a tool I believe in, built for people who need it, or might find some use from it.

https://redd.it/1ohz3ww
@r_opensource
Our open source agent

Hey everyone,

I wanted to share what happened when we built Droidrun, our open-source framework for automating real Android apps.

We started this because honestly, we were frustrated. Everything in automation seemed stuck in browsers, but people actually live on their phones. Apps are walled gardens and nobody had cracked how to make agents work inside them. So we built something that could tap, scroll, and interact with real mobile apps like a human would.

A few weeks back, we posted a short demo. No pitch deck, no fancy landing page, just an agent running through a real Android UI. What happened next caught us off guard. Within 48 hours we hit over 3000 stars on GitHub. Devs started flooding into our Discord asking questions and wanting to contribute. We got on the radar of investors we'd been trying to reach for months. And we closed a $2M+ funding round shortly after.

Looking back, a few things made the difference. We led with a real working demo, not a roadmap of what we planned to build. We posted in developer communities where people cared about solving real problems, not product launch forums chasing upvotes. We genuinely asked for feedback instead of begging for attention. And we open-sourced everything from day one, which gave us instant credibility and momentum we couldn't have bought.

We're still figuring out a ton of stuff. The framework breaks in weird ways, there are edge cases everywhere, and we're learning as we go. But the biggest lesson so far is this: don't wait to polish everything. Ship the weird, broken, raw thing. If the core idea is strong enough, people will get it.

If you're working on something with agents, mobile automation, or just something bold that doesn't fit the usual mold, I'd genuinely love to hear what you're building.

Happy to answer questions if that's helpful!

Github- https://github.com/droidrun/droidrun

https://redd.it/1oi29tr
@r_opensource
Looking for Some Good Open source projects to contribute to!

I'm a Student and starting my open source journey and I'm looking for some repos to contribute to.

My tech stack is MERN, C++, React Native and Python.

My main aim to start with this is to learn how to understand and navigate through large codebase.

I want a community which is active so my PR's can be accepted as I make them.

All suggestions are welcome, if you have a open source project you can DM me.

https://redd.it/1oi3roa
@r_opensource
How are you using open-source tools effectively in your workflow?

Open source has become a major part of how many of us build and manage systems today. The flexibility to self-host, customize, and fully understand what’s running under the hood makes a huge difference in both productivity and long-term scalability.

A few areas where open-source tools consistently provide value:

• Self-hosting critical services so you’re not dependent on a single vendor
• Full customization when default features don’t fit your needs
• Faster improvements driven by active communities and contributors
• Lower total cost of ownership, especially for startups and personal projects
• Greater transparency around privacy, data control, and security
• Strong interoperability thanks to open standards and APIs

I’d love to hear how others are leveraging open-source more effectively. Which projects have become essential for your workflow, and what practical results have you seen? Any recommendations that offer a clear advantage over closed-source alternatives?

Let’s share what’s working so more people can build reliable, secure, and affordable setups using open-source tools.

https://redd.it/1oi5q8u
@r_opensource
Project HORUS: Open source Rust robotics framework with sub-microsecond IPC

Hey everyone! I just open-sourced HORUS after a year of development. It's a robotics middleware framework written in Rust that achieves sub-microsecond message passing.

The goal was to build something that's both fast and safe for real-time robotics applications like drones, autonomous vehicles, and industrial automation. Using lock-free shared memory, we're hitting 296ns-1.31µs latency for inter-process communication.

Key features:

\- Memory-safe by default (Rust)

\- Single CLI for everything

\- Multi-language bindings (Rust, Python, C)

\- Real-time priority scheduling

\- Built-in monitoring dashboard

Perfect for hard real-time control loops where microseconds matter. Currently at v0.1.0-alpha with full documentation and examples. The codebase is MIT/Apache-2.0 licensed.

GitHub: https://github.com/horus-robotics/horus

Would love feedback from the community on the architecture and what features would be most useful. Happy to answer any questions!

https://redd.it/1oi8vn1
@r_opensource
What actually works for finding the first beta users for a new, niche open-source dev tool?

Hey everyone,

I'm a solo dev in the final stages of building an open-source Python SDK, and I've hit a classic "I've built it, now what?" moment. I'm hoping to tap into the collective wisdom of this community, as I know many of you have successfully navigated this phase.


It's a local-first reliability toolkit for AI agents (specifically for people working with LangChain/LangGraph). It bundles together a policy engine for guardrails, a local tracing system for observability, and a time-travel debugger. The goal is to make agents less of a "black box."


I'm ready to get it into the hands of real users, but I'm not looking for a big, splashy launch. I need to find a small group of 10-20 experienced developers who will give me brutally honest feedback, find the bugs, and tell me if the core ideas are even useful.

What strategies actually work for finding these critical first users?

* Are "Showcase" threads on big subreddits effective, or is it just noise?
* Is direct, cold outreach (e.g., on GitHub or Twitter) to people who seem to have the problem a good idea, or is it just seen as spam?
* What are the best ways to find the niche communities or forums where your ideal early adopters already hang out?

I'm trying to do this the right way and build a community from the ground up, not just chase vanity metrics. Any advice, war stories, or "what not to do" lessons would be incredibly appreciated.

Thanks for your help!

https://redd.it/1oibnaq
@r_opensource
Licensing question when rewriting MIT-licensed code

There’s an MIT-licensed JavaScript repo that I want to recreate or substantially modify. The goal is to write it in TypeScript with non-negligible changes to its architecture and interface. The project contains a number of nuanced algorithms that I would be unable to write from scratch and which I would have to use the previous project as reference for. Say the new project would roughly have a 60% similarity to the old one.

How do I license my version of it? I assume I would have to use an MIT license (though if I would be able to use CC0 I would be interested in this as well). If I’m going with MIT, whose name would be on the license field? My own, yes, but would including the original authors be tantamount to claiming they were involved in my new project, which I don’t know whether they’d want to be associated with? Do I include their license in a subdirectory with a comment explaining the connection?

https://redd.it/1oiben7
@r_opensource
Seeking advice on overcoming resistance to attribution

Code examples on the website for the library p5.js are licensed under CC BY-NC-SA 4.0.

In 2023, the Processing Foundation, who manages the project, hired me to lead a team to overhaul the examples for the project's new website. Many (but not all) examples included attribution to the contributor who initially created the example in their denoscription. Given that all the examples have been significantly modified by a variety of contributors over the years, my team kept creator attribution out of the new denoscriptions and instead proposed a consistent model of listing all the contributors who had worked on each example. We kept the git history intact as we made major changes and communicated with the org about the value of merging the old git history into the new site.

The new website launched in 2024 with no attribution on examples whatsoever and no mention of the CC license. A few months after the website launched, links were added from examples to pages the profiles of the maintaining org staff under which is an unsorted list of the hundreds of names that comprise many of the people who have contributed to the library on the whole (not just examples, missing some names such as people without GitHub accounts).

The years of git history from the examples on the old site was disconnected when the examples were copied over to the new site, replaced by a single commit authored by the project Mentor. As such, there is currently no way to identify who worked on which examples.

A more detailed timeline is in this comment, and the issue includes discussion with the maintainers.

I'm a community college professor, and at the time I was using p5.js in teaching. I wanted to set a better example for my students regarding attribution for others' code, so I created a fork of the new p5 site with all known contributor names for each example listed as well as some accessibility fixes.

9 months after the new website launched, the new project Lead agreed to a solution that would restore the names that had been previously listed in example denoscriptions and link to the corresponding example files in the old website repo, which has the git history.

6 months later, the PR for this proposal has not been merged.

The project Lead already put a lot of work into the PR and has been apologetic about the delays. Given the amount of time that has passed and the resistance other org staff have communicated to adding attribution, however, I worry about this being dragged out indefinitely.

So I am looking for advice on motivating the org to merge the PR. Does anyone have any success stories from conflicts around attribution?

https://redd.it/1oilux9
@r_opensource
ngxsmk-datatable v1.1.0 – Type-Safe Angular Tables with Virtual Scrolling & Frozen Columns

Hey Angular devs! 👋

The ngxsmk-datatable library just released v1.1.0, and it comes with some great updates:

Full TypeScript type safety for rows, columns, and templates – no more runtime surprises!
Virtual scrolling for smooth performance with large datasets.
Frozen columns for better usability in wide tables.
Improved row selection and checkbox handling.

It’s perfect if you work with large data tables in Angular and want both performance and safety.

Check it out here: GitHub – ngxsmk-datatable

Would love to hear how others plan to use it in their projects!

https://redd.it/1oim3ru
@r_opensource
What are some promising new open source project management tools?

I feel like most open source PM tools are either abandoned or trying to become the next Jira clone. Are there any newer projects that are actually innovating? Particularly interested in anything that integrates modern tech like AI.

https://redd.it/1oikkd2
@r_opensource
Steeeam - Steam Profile Stats as Dynamic Images for GitHub, Discord, Forums & More 🎮

Hey r/opensource! I built Steeeam, an open-source Steam profile calculator and dynamic image generator built with Next.js v16.

# What it does:

Steeeam is a Steam profile calculator with an edge. Steeeam allows you to generate dynamic images of your Steam profile statistics that you can embed anywhere that supports images - GitHub READMEs, Discord profiles, Facebook, X/Twitter, forum signatures, websites, or anywhere else you want to show off your gaming stats.

# Key Features:

Dynamic Image Generation \- Live-updating images via API endpoints
Highly Customizable \- Full control over colors, borders, progress bars, and more
10+ Pre-made Themes \- Dark, light, and various color schemes ready to use
Simple API \- Just use the URL format: `steeeam.vercel.app/api/YOUR_STEAM_USERNAME`
Open Source \- Built with Next.js v16, fully open for contributions

# Use Cases:

Embed in your GitHub profile README
Directly share your dynamic image in Discord servers and DMs
Add your Steam statistics to your forum signatures
Share your dynamic image on your personal websites
And anywhere you can display an image!

# Live Website:

Check out the live examples with different themes in the repo's README - everything from dark mode to pastel themes to custom color combinations.

GitHub: https://github.com/zevnda/steeeam
Live Demo: https://steeeam.vercel.app
Dynamic Images w/ Custom Theme: https://steeeam.vercel.app/api/zevnda?bg\_color=eff6ff&noscript\_color=2c3639&text\_color=3d4f53&sub\_noscript\_color=7a97a5&border\_color=dde6ed&border\_width=5&progbar\_bg=a5c0cd&progbar\_color=7a97a5&username\_color=596e76&cp\_color=5ca9bf&ip\_color=5ca9bf

The API is free to use, and contributions are welcome! If you have ideas for new features or themes, feel free to open an issue or PR.

Built with Next.js v16 • MIT License • Contributions Welcome

https://redd.it/1oiryl2
@r_opensource
Should we Opensource Primains?

Hey everyone!

After launching our Primain product we noticed a lot of people questioning the security mechanisms behind the protocol.

Especially as it's connected to the blockchain space, where scams are all too common, we thought that open-sourcing might reduce some of these concerns. Our main concern is copycats and the possibility of people finding and exploiting bugs in our source code. Additionally, it would take up quite some time to set up the project for a full public release and separate business from protocol logic.

The main benefits seem obvious: more trust and more security over the long run.

Heres some more info about the project: About

Please let us know what you would do!

https://redd.it/1oiuq2m
@r_opensource
Need Help: Running AI-Generated Code Securely Without Cloud Solutions

Hey everyone,

I’m currently working on a project where I want to execute AI-generated code (for example, code generated by Gemini or other LLMs) in a secure and isolated environment. The goal is to allow code execution for testing or evaluation without risking my local system or depending on expensive cloud infrastructure.

What the experience will look like:
A user installs my project locally and adds their LLM API key. They then open the app on port 3000, connect their GitHub repository, and interact with an integrated AI assistant. For example, they might ask the LLM to “add one more test in the test module.”

Behind the scenes, a temporary isolated VM or container is automatically created. The AI-generated code is executed and tested inside this sandboxed environment. If all tests pass, the changes are automatically committed and pushed back to the user’s GitHub repository — all without exposing their local system to security risks.


I came across Daytona, which provides secure and elastic infrastructure for running AI-generated code safely. It looks great, but it’s mainly cloud-based, and that quickly becomes costly for continuous or large-scale use. I’d prefer a local or self-hosted solution that offers similar sandboxing or containerization capabilities.

I also checked out Microsandbox, which seems to be designed for this kind of purpose — isolated and secure code execution environments — but unfortunately, there’s no Windows support right now, which is a dealbreaker for my setup.

What I’m looking for is something like:

A local runtime sandbox where I can execute AI-generated Python, JavaScript, or other code safely.
Dependency installation in an isolated environment (like a temporary container or VM).
Resource and security controls (e.g., CPU/memory limits, network isolation).
Ideally cross-platform or at least Windows-compatible.

Has anyone built something similar — maybe a local “AI code runner” sandbox?
How would you architect this to be secure, scalable, and affordable without relying on full cloud infrastructure?

Would love any suggestions, architectures, or even open-source projects I might have missed that could help with this kind of setup.

Thanks in advance!

https://redd.it/1oiyq89
@r_opensource
Best soc 2 compliance software for a small remote-first team?

Trying to figure out what tools actually make soc 2 compliance easier without spending a ton or adding useless steps. We’re a small remote-first team and don’t have a dedicated compliance person, so automation and clarity are big deals for us.

i’ve looked at a few options but they all seem built for big companies with more people. Which ones actually work well for smaller teams that just want to stay compliant without overcomplicating things?

https://redd.it/1oiz529
@r_opensource
life360-remote: a way to access your life360 circle data outside your phone

Requires xcode: you build the app on your phone, connect via websocket to your computer (or any server) and you can use the cli to remotely access your life360 circles and data. You're only able to access data you'd originally be able to via your phone account. https://github.com/Dynosol/life360-remote

https://redd.it/1oiznow
@r_opensource
I Built a Tool to Stalk GitHub Profiles (Legally)

Hey r/opensource,

Let's be honest - we've all done it. You see a cool project, check out the developer's profile, scroll through their repos, and try to mentally calculate how you stack up.

I got tired of doing this manually, so I built en-git, a tool that does all the "stalking" for you. It's been a passion project of mine, and now that it's stable, I've fully open-sourced it and would love to get your feedback.

Live Demo: https://en-git.vercel.app/

GitHub Repo: https://github.com/TejasS1233/en-git

What it does:

Profile Analysis: Type in a username and get an instant breakdown of their top languages, contribution patterns, and a (completely subjective) profile score.

Compare Developers: Put any two profiles side-by-side to see how they really stack up on languages, repo stats, and activity.

Repo Deep Dive: See if a project is actually maintained or just abandoned. It gives you a "contribute-worthy" score based on recent activity and PRs.

There's also a companion Chrome extension that gives you in-line code quality scores, which has been a game-changer for my PR reviews.

I have issue templates and contribution guides ready to go and would love some help if you're interested.

What do you think? And what obvious features am I missing?

https://redd.it/1oizlct
@r_opensource