I built HumanoidOS: An open-source control stack for bipedal robots (Python/PyBullet, 1kHz control loop)

After 5+ years in robotics , I kept rebuilding the same bipedal control foundations. So I open-sourced it.

# What It Is

HumanoidOS \- A modular control stack for bipedal robots that implements walking algorithms from first principles.


https://github.com/user-attachments/assets/32c3d915-4a07-40b2-9bd8-c78669f05bd6

Current features:

Real-time control loop (1kHz in PyBullet)
ZMP-based balance controller
7 gait patterns (walk, run, sidestep, turn)
Automatic push recovery (Capture Point dynamics)
Custom IK solver with NumPy optimization

# Why I Built This

Most bipedal resources are either:

Academic papers (math-heavy, no code)
Black-box libraries (can't learn internals)
Proprietary systems (can't access)

Wanted something in between: production-quality code that's educational and hackable.

# Architecture

humanoid-os/
├── core/ # 1kHz control loop
├── locomotion/ # Balance + gaits + recovery
├── simulation/ # PyBullet integration
└── tests/ # 100% coverage

Tech stack: Python + NumPy (optimized for sim), C++ bindings planned for hardware

Next up: Full walking demo with gravity

# Try It

git clone https://github.com/ashishjsharda/humanoid-os
pip install -r requirements.txt
python examples/kinematicsdemo.py # Zero-G test
python examples/walkingdemo.py # Walking sim

Repository: https://github.com/ashishjsharda/humanoid-os

https://redd.it/1pgmns9
@r_opensource

BeeCount - One Month Update: Dark Mode, Tags, Budget Management, AI Assistant & More

It's been a month since the last update. Thanks everyone for the continued support!

In the past month, we've iterated from v1.11.0 to v2.2.0, bringing tons of new features and improvements.

# Major Updates

# 1. Dark Mode

Finally supports dark mode! Pure black background + theme color borders:

* OLED-friendly, saves battery and protects eyes
* All pages, dialogs, and keyboards fully adapted
* Auto-switch with system or manual setting

# 2. Tag System (New!)

You can now tag your transactions - more flexible than categories:

* Multiple tags per transaction
* Custom tag colors
* Tag detail page with statistics
* Import/export supports tags

Use cases: reimbursement, travel expenses, project costs, etc.

# 3. Budget Management (New!)

Finally has budget features:

* Set monthly total budget
* Set budgets by category
* Real-time spending progress
* Over-budget alerts

# 4. Recurring Transactions (New!)

Auto-record fixed income/expenses:

* Daily/Weekly/Monthly/Yearly
* Salary, rent, subnoscriptions, etc.
* Supports transfer type
* Import/export supports recurring

# 5. Discover Page

New Discover page with quick access:

* Budget management
* Recurring transactions
* Tag management
* AI assistant
* Log center

# 6. AI Assistant Upgrade

* New AI chat feature - smart bookkeeping assistant
* Custom prompts support
* Voice recording: hold to speak, auto record
* Improved image recognition accuracy
* Shortcuts support

# 7. iCloud Sync (iOS Users)

Long-awaited feature for iOS users:

* Zero config, works out of the box
* Uses your own iCloud storage
* Multi-device auto sync (iPhone/iPad)
* Full data control

# 8. S3 Protocol Storage Support

Besides Supabase, WebDAV, and iCloud, now supports S3:

* Cloudflare R2 (10GB free, recommended)
* AWS S3
* MinIO (self-hosted)
* Aliyun OSS (S3 compatible mode)

More flexible storage options.

# 9. Independent Accounts (v2.0 Major Update)

The core change in v2.0:

* Each account tracks balance independently (cash, bank cards, credit cards, etc.)
* Transfer between accounts, auto-update both balances
* New account detail page with transaction history
* Choose income/expense account when recording

Real "account" concept, not just a label.

# 10. Sub-categories

Categories now support hierarchy:

* Parent-child structure (e.g., Food → Breakfast/Lunch/Dinner)
* Flat or hierarchical display mode
* Drag & drop sorting
* Category migration feature

# 11. Other Important Updates

**Import/Export Enhancements**:

* Supports categories, accounts, tags, budgets, recurring transactions
* Easier cross-device config migration

# Stats

**One Month Progress** (v1.11.0 → v2.2.0):

* Released **24 versions**
* Now on App Store (official release)

# Download

**iOS**:

* App Store: [BeeCount on App Store](https://apps.apple.com/app/id6754611670)
* TestFlight: [Join Beta](https://testflight.apple.com/join/Eaw2rWxa) (Global)

**Android**:

* GitHub Release: [Latest Release](https://github.com/TNT-Likely/BeeCount/releases/latest)

**Website & Docs**:

* Official Site: [https://f4b91a7e.beecount-website.pages.dev/en/](https://f4b91a7e.beecount-website.pages.dev/en/)

**Source Code**:

* GitHub: [https://github.com/TNT-Likely/BeeCount](https://github.com/TNT-Likely/BeeCount)

# What's Next

* Android release on major app stores
* Continuous UI/UX improvements
* HarmonyOS version (separate repo exists)
* More data analysis features
* Iterate based on community feedback

# Final Words

24 versions in one month - been quite a grind. This project will continue to be maintained. Feel free to open issues and suggestions!

**GitHub**: [https://github.com/TNT-Likely/BeeCount](https://github.com/TNT-Likely/BeeCount)

**Website**: [https://f4b91a7e.beecount-website.pages.dev/en/](https://f4b91a7e.beecount-website.pages.dev/en/)

Thanks for reading!

https://redd.it/1pgko4j
@r_opensource

Successfully built a business around OSS? What works in 2025?

I'm building a developer tool in the SEO space and seriously considering going open source, but I'm trying to figure out if and how that could be sustainable as a business.

I'd love to hear from people who've actually done it. What's working now? What looked good on paper but didn't pan out? How did you think about the decision early on? What business models are feasible?

For context: I'm a solo founder, the tool is technical enough that the audience would be developers, and I'm not VC-backed or chasing hypergrowth. I simply want to build something useful and make a living from it.

https://redd.it/1pgt7vm
@r_opensource

Looking for an Open-Source color E-Ink reader to read epub and pdf books

Hey, I'm looking for a Open-source (software side) color E-ink reader like a Kindle e-Reader because I have a hard time reading books on my pc. I would mainly use it for .epub and PDF files.

I found one but it doesn't have color: https://pine64.org/devices/pinenote/

thanks

https://redd.it/1pgu762
@r_opensource

I created an open source web app with ASP.NET and ML.NET backend

If somebody likes the .NET platform, and wants to contribute to a project, this is a good opportunity. You can find the github repository link on the website. My goal is to build a complex health manager platform. This is just the first test release, so it is under development when I have time for that.

Important: now the website allows photos only under 1 megabyte, because of I don't want to overload the server.

Link: https://openhealthweb.eu/

https://redd.it/1pgua1k
@r_opensource

MyCTiger: Use the Ring programming language for generating and building C programs (Prototype of the idea).
https://github.com/ringpackages/MyCTiger

https://redd.it/1pgxj97
@r_opensource

Is there a shortage of open-source tools in the the security awareness industry? Do you know any?

I've been following discussions when people requested free phishing simulation tools, LMS platforms, and security awareness training materials. It seems like open-source options in this space are surprisingly limited.

When it comes to training — haven't found any training materials at all with a decent quality.

Is this really the state of things? Maybe I'm bad at googling, but it seems like there should be more open-source alternatives available.

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

Nojoin - A self-hosted meeting intelligence app and an alternative to Otter, Firefly, Jamie, Granola, etc.
https://github.com/Valtora/Nojoin

https://redd.it/1ph0w1a
@r_opensource

user-scanner a CLI tool written on python that lets you choose unique username in all popular sites, by checking the username availability, actively looking for contributions⚡
https://github.com/kaifcodec/user-scanner

https://redd.it/1ph2aug
@r_opensource

Don't we need to shift existing and new open source projects to memory, CPU and GPU efficient code?

There was a time when operating systems and various programs required minimal resources (memory, storage, CPU) to run. I see a stark difference in the response of applications like VS Code that are built on Electron, versus IDE's like Zed that is built on Rust. I miss the nimble and fast response of Windows XP. The fast execution and response of games and programs built with C++. I know any language can be compiled to machine language and it'll automatically become fast, but the point I'm trying to make is that there was a time when engineers dedicated at least some effort to ensuring the resource efficiency of their programs. Today, that seems to be lost, with the focus shifting to quick delivery.

Programs written in C and C++ have their issues with memory safety, and I've heard that many Ubuntu modules are being re-written in Rust. That's one good choice. But when I see various other frameworks like React, Flutter, many Python frameworks (even when it's a wrapper around C++), or even just in time compilation, etc, and I see how slow and bulky they are, I realize that it not only creates a poor user experience of getting annoyed at the slowness of the program, it also consumes a lot more resources on the server, thus massively increasing the cost of running operations. Perhaps another optimization would be to have modules that automatically detect various types of GPU's and APU's and are able to not only shift a lot of the processing to the GPU, but also able to detect the GPU and recommend an appropriate driver if the user has not yet installed the right one (that can happen with users like me who did not know that AMD APU's needed a separate, specific ROCm driver).

It would be nice if the open source community considered slowly migrating to (and building) resource efficient code everywhere. I'm already doing that, by migrating my latest open source program from Python to C++.

Another important aspect to consider is syntax and semantics. Recently introduced languages have such weird syntax and nested code that it's mind-numbing to have to keep learning new syntax that was created based on the whims of some developer.

https://redd.it/1ph71nb
@r_opensource

is there who will start with me this project

# Social Media & Digital Accounts Marketplace — Full Project Cheat Sheet

# 1️⃣ Project Concept

**Goal:**
Build a **secure multi-vendor marketplace** for **buying and selling social media and digital accounts** (Instagram, TikTok, Facebook, Twitter, YouTube, etc.) with:

* AI-powered account evaluation (authenticity, engagement, potential value)
* Escrow system for safe transactions
* Multi-store support (each seller has their own store)
* Escrow moderators (limited admin) for disputes
* Analytics and KPI tracking for sellers and mods
* Buyer reviews and comments

**Target Audience:**

* Sellers: People who own social media accounts
* Buyers: People looking to buy verified, high-quality social media accounts
* Admin & Mods: Ensure security and trust

# 2️⃣ Project Roadmap (Step-by-Step)

# Phase 1 — Planning & Requirements

* Define target social platforms
* List core features & user stories
* Create role hierarchy (Admin, MOD, Seller, Buyer)
* Determine payment gateways & escrow rules
* Define analytics & reporting requirements

# Phase 2 — Tech Stack & Architecture

* Frontend: Next.js + Tailwind CSS + shadcn/ui
* Backend: NestJS + TypeORM/Prisma
* Database: PostgreSQL
* Cache / Queue: Redis + BullMQ
* Storage: AWS S3 / MinIO
* Payments: PayPal, Binance Pay, Paystack/Flutterwave, Internal Wallet + Escrow
* Realtime: WebSockets / [Socket.io](http://socket.io/)
* AI: GPT-4.1/5-mini for account evaluation

# Phase 3 — Database & API Design

* Tables: users, roles, stores, listings, orders, escrows, disputes, reviews, permissions\_mods
* Role-based access control (RBAC)
* RESTful APIs (or GraphQL if preferred) for all operations

# Phase 4 — Core Marketplace Features

* Multi-vendor stores
* List/edit/delete social/digital accounts
* AI account evaluation
* Buy Now / Auction / Silent Bid (future)
* Escrow system with MOD approval
* Buyer comments & ratings
* Automated notifications (email/push)

# Phase 5 — Escrow & Moderator System

* Lock funds in escrow when order is placed
* Escrow MOD reviews disputes & can release/refund/hold
* Fraud flags & internal notes
* Escalation to admin if unresolved

# Phase 6 — Analytics & Reporting

* Seller Dashboard: total sales, successful/failed, disputes, buyer comments, average rating, success rate
* Escrow MOD Dashboard: total escrows, active/resolved disputes, fraud flags, top sellers with disputes

# Phase 7 — Security & Compliance

* KYC / Identity verification (optional)
* GDPR / Cookie policy compliance
* Recaptcha + security best practices
* Payment & wallet security

# Phase 8 — Testing & Deployment

* Unit tests & integration tests
* Security audit
* Docker deployment + CI/CD (GitHub Actions)
* Cloudflare CDN / WAF for protection
* Production monitoring & logs

# 3️⃣ Roles & Permissions

|Role|Permissions|
|:-|:-|
||
|Admin|Full control: users, stores, categories, payments, mods, system settings|
|Escrow MOD|Manage disputes & escrows only|
|Seller|CRUD listings, manage store, view analytics, respond to comments|
|Buyer|Browse, buy, report issues, leave reviews/comments|
|Guest|Browse only|

# 4️⃣ Database Structure (Key Tables)

# users → id, role_id, name, email, password, wallet_balance, created_at

# roles → id, name (admin, mod, seller, buyer)

# stores → id, seller_id, name, denoscription, created_at

# listings → id, store_id, noscript, platform, price, details, status, ai_score, created_at

# orders → id, buyer_id, seller_id, listing_id, amount, status, created_at

# escrows → id, order_id, buyer_id, seller_id, mod_id, status, locked_amount, created_at

# disputes → id, order_id, mod_id, status, decision, notes, created_at

# reviews → id, order_id, buyer_id, seller_id, rating, comment, created_at

# permissions_mods → id, mod_id, permission (escrow.view, escrow.decide, dispute.manage, listing.flag, user.flag)

# 5️⃣ API Endpoints (Essential)

**Seller**

GET /api/seller/{seller_id}/stats
GET /api/seller/{seller_id}/listings
POST /api/seller/listing
PUT /api/seller/listing/{id}
DELETE

/api/seller/listing/{id}

**Buyer**

GET /api/listings
POST /api/order
POST /api/order/{order_id}/report
POST /api/order/{order_id}/review

**Escrow Moderator**

GET /api/mod/escrow
GET /api/mod/escrow/{id}
POST /api/mod/escrow/{id}/release
POST /api/mod/escrow/{id}/refund
POST /api/mod/escrow/{id}/hold
GET /api/mod/disputes
POST /api/mod/dispute/{id}/resolve
POST /api/mod/dispute/{id}/escalate

**Admin**

GET /api/admin/users
GET /api/admin/stores
POST /api/admin/category
PUT /api/admin/settings

# 6️⃣ Analytics Formulas

* **Success Rate** = `(successful_sales / total_sales) * 100`
* **Dispute Rate** = `((active_disputes + closed_disputes) / total_sales) * 100`

# 7️⃣ Workflow (Buyer → Seller → MOD → Admin)

1. Buyer buys → funds locked in escrow
2. Seller delivers credentials
3. Buyer confirms → release funds
4. If dispute → MOD reviews: release/refund/hold
5. Escalate to Admin if unresolved/fraud detected

# 8️⃣ Tech Stack Summary

|Layer|Tech|
|:-|:-|
||
|Frontend|Next.js + Tailwind CSS + shadcn/ui|
|Backend|NestJS + TypeORM / Prisma|
|Database|PostgreSQL|
|Cache / Queue|Redis + BullMQ|
|Storage|AWS S3 / MinIO|
|Payments|PayPal, Binance Pay, Paystack/Flutterwave, Internal Wallet + Escrow|
|Realtime|WebSockets / [Socket.io](http://socket.io/)|
|AI|GPT-4.1/5-mini, OCR for screenshots|
|DevOps|Docker, Nginx, CI/CD, Cloudflare|

# 9️⃣ Optional / Future Enhancements

* Auction / Silent Bid system
* Multi-language
* Seller subnoscription (one-time/monthly)
* AI auto-validation of credentials/screenshots
* Export CSV/PDF of sales & disputes
* Fraud prediction AI
* Mobile app integration (React Native or Flutter)

✅ **Cheat Sheet Purpose:**

* Gives devs **full scope of the project**
* Defines **roles, DB, API, tech, workflows, dashboards**
* Can be used as a **roadmap + reference** during development

https://redd.it/1ph8qbw
@r_opensource

SQLShell – Desktop SQL tool for querying data files, and I use it daily at work. Looking for feedback.

I'm a data professional who lives in SQL. It's my primary tool for analysis, and I'd say I have a "black belt" in SQL at this point. I was frustrated by the friction of querying local data files (CSVs, Parquet, Excel) – either I'd spin up a database, write throwaway Python noscripts, or use tools that felt clunky for quick analytical work.

So I built SQLShell – a desktop SQL interface for querying data files directly. No database server needed. You load files, write SQL, get results. That's it.

# What makes it useful (at least for me):

DuckDB under the hood – fast analytical engine. I regularly query million-row files without waiting.
Load anything – CSV, Parquet, Excel, JSON, Delta Lake, SQLite. Drag-and-drop or file browser.
F5/F9 execution – F5 runs everything, F9 runs only the current statement. Perfect for iterative exploration (if you use SSMS, SQL Developer or similar tools, this feels familiar).
Ctrl+F search – instant filtering across all result columns
Context-aware autocomplete – knows your tables and columns
Right-click column profiling – quick stats, distributions, null counts

# What I'm looking for:

Feedback from other SQL-heavy users
Missing features that would make this useful to you
UX issues I might be blind to
General thoughts on the approach

Links:

Landing page: [https://oyvinrog.github.io/SQLShell/](https://oyvinrog.github.io/SQLShell/)
GitHub: https://github.com/oyvinrog/SQLShell
PyPI: pip install sqlshell && sqls
Pre-built binaries for Windows (.exe) and Linux (.deb) on the releases page

https://redd.it/1ph9stm
@r_opensource

Open source client alternative for Spotify ?

Hey everyone, I'm looking for an open-source client alternative for Spotify mobile. Basically an app that let's me login to my spotify account (bcs I have lot's of playlists) and let's me play the songs offline.

On PC I have Spicetify which has no ads, but I'm struggling to find a mobile alternative.

If you can recommend me some clients it would be perfect, thank you in advanced.

https://redd.it/1ph8jsf
@r_opensource

I use an iPhone but my daily driver is Linux. Apple's Universal Clipboard won't help me, so I built my own.

Copy on iPhone → Paste on Linux. That's it.

I got tired of emailing myself screenshots and texting links to my own number or having to manually use localsend for everything. Apple's Universal Clipboard only works with Macs, so I made Velocity Bridge.

How it works:

\- Runs a tiny local server on your Linux box

\- iOS Shortcuts send clipboard data over your home network

\- Text/images land directly in your Linux clipboard

\- No cloud, no account, no Apple tax

Pro tip: Set up Back Tap (Settings → Accessibility → Touch → Back Tap) to trigger the shortcut. Double-tap the back of your phone = instant paste on Linux. It's stupidly satisfying.

Install:

\- Fedora: `sudo dnf copr enable trex099/velocity-bridge && sudo dnf install velocity-bridge`

\- Arch: `yay -S velocity-bridge`

\- Any distro: One-liner curl noscript or AppImage

Comes with a GUI for easy setup, or run it headless as a systemd service.

GitHub: https://github.com/Trex099/Velocity-Bridge

Built this for myself, figured others might want it too. Feedback welcome!

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

SerpApi MCP Server for Google and other search engine results
https://github.com/serpapi/serpapi-mcp

https://redd.it/1ph7cd0
@r_opensource

Not good at understanding licences - Can I include flac.exe along with my compiled freeware?

Hello,

I have made a free Windows desktop utility that can use flac.exe (which I think is open source) (it may someday use a library but for now it's flac.exe ). I think it's approximately a decade old now.

I do not plan to make my own project open-source. On one hand I admire open-source, on the other hand I'm not comfortable sharing my source code/this code to the public. Though, it will remain free, not collect any user data or such. It does accept donations but I don't receive any for this particular project. I'm not even sure if it has actual users other than myself and I don't really care.

I have various understandings of open-source licences:

I think that sometimes you cannot include an open-source tool along with your project if you project itself it not open source (I think that FLAC falls into this category)
I think that sometimes you can include an open-source tool if the user is free to replace with another version of that tool, that might have been recompiled from the tool's original source code. (That would work for my project... but I think that's something I read about C++ Qt license and not FLAC.)

flac.exe is currently not include along with the project file, it's up to the user to point to their version of flac.exe .

Can someone who understands these better explain me if I could legally include flac.exe along with a freeware?

(Also, I do not want to share the project publicly.)

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

OpenQuestCapture - an open source, MIT licensed Meta Quest 3D Reconstruction pipeline

Hey all! I just released OpenQuestCapture, an MIT licensed Quest 3 app and pipeline for capturing spatial data from Meta Quest sensors for use for 3D reconstruction.

Why:

Meta recently launched Horizon Hyperscape, which produces impressive 3D reconstructions from Quest 3 sensor data. But all your data stays locked in their ecosystem. You don't control it, can't export it, and can't process it yourself. In fact, just 2 weeks ago they significantly reduced the quality of peoples' reconstructions without any notice.

I think that's the wrong approach. Spatial data should belong to the user.

What it does:

OpenQuestCapture captures Quest 3 depth maps, RGB images, and pose data to generate point clouds. While you're capturing, it shows you a live 3D point cloud visualization so you can see what areas (and from which angles) you've covered.

Then, the repo also has a helper noscript that converts that raw data into to COLMAP format for Gaussian Splatting or whatever 3D reconstruction pipeline you prefer. You can run everything locally.

Here's the GitHub repo: [https://github.com/samuelm2/OpenQuestCapture](https://github.com/samuelm2/OpenQuestCapture)

It's still pretty new and barebones, and the raw capture files are quite large. The quality isn't quite as good as HyperScape yet, but I'm hoping this might push them to be more open with Hyperscape data. At minimum, it's something the community can build on and improve.

There's still a lot to improve upon for the app. Here are some of the things that are top of mind for me:

* An intermediary step of the reconstruction post-process is a high quality, Matterport-like triangulated colored 3D mesh. That itself could be very valuable as an artifact for users. So maybe there could be more pipeline development around extracting and exporting that.
* Also, the visualization UX could be improved. I haven't found a UX that does an amazing job at showing you exactly what (and from what angles) you've captured. So if anyone has any ideas or wants to contribute, please feel free to submit a PR!
* The raw quest sensor data files are massive right now. So, I'm considering doing some more advanced Quest-side compression of the raw data. I'm probably going to add QOI compression to the raw RGB data at capture time, which should be able to losslessly compress the raw data by 50% or so.

If anyone wants to take on one of these (or any other cool idea!), would love to collaborate. And, if you decide to try it out, let me know if you have any questions or run into issues. Or file a Github issue. Always happy to hear feedback!

https://redd.it/1phj040
@r_opensource

Need honest opinion

Hi there! I’d love your honest opinion, roast me if you want, but I really want to know what you think about my open source framework:

https://github.com/entropy-flux/TorchSystem

And the documentation:

https://entropy-flux.github.io/TorchSystem/

(https://entropy-flux.github.io/TorchSystem/)

The idea of this idea of creating event driven IA training systems, and build big and complex pipelines in a modular style, using proper programming principles.

I’m looking for feedback to help improve it, make the documentation easier to understand, and make the framework more useful for common use cases. I’d love to hear what you really think , what you like, and more importantly, what you don’t.

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

OpsOrch – Unified API for Incidents, Logs, Metrics, and Tickets
https://www.opsorch.com

https://redd.it/1phom73
@r_opensource

Beliarg is a dark, gamified productivity and finance management ecosystem.

This is an open source project - free to use, modify, and distribute. It has been reforged into a Full-Stack Web Application (PWA). It combines a React 19 frontend (built with Vite) with a Node.js & PostgreSQL backend to ensure your data survives even the apocalypse)). It features a unique "Hellish" aesthetic, turning daily tasks into "Chains", expenses into "Sacrifices", and habits into "Rituals". https://github.com/D371L/beliarg feel free to leave any feedback

https://redd.it/1phplp9
@r_opensource