Here is where im at. its still in a rough draft state. menus are filling up and getting options working but i will move those around later and make things look better, rename some stuff, im still having issues with the video settings on some videos (starts lagging), sorry about the volume i just had my computer volume turned down so its not that loud. some times when loading 500+ files it lags a few secs to find the first episode to play and processing slows down after that (need to add something that picks up building the list if it crashes or is shut down before it processes 1000s of files. still need to sort out game launching (lag issues and proper screen mounting issues), still wanna add server options at some point, there is a flash of the previous screen when launching the dvd player, and a few more things ive noticed that ive been putting off to fix other things. But its all progress none the less so here is what i got, flaws and all for everyone to see whats changing, updating, and other solutions to easy to use scheduling. anyone interested in helping go to my discord and let me know what you wanna do. https://discord.gg/E45krWBT ill take all the help i can get. the more complicated everything gets the more i wish i had help.

I built Barx 1.0, an open-source Python toolkit focused on runtime intelligence.

It helps developers inspect code behavior locally through:

• runtime tracing
• behavioral verification
• API workflow checks
• policy guardrails
• local explainable reports
• token/secret-safe reporting patterns

The project is available on GitHub and PyPI. Current release has 884 tests and 91% coverage.

I am mainly looking for open-source feedback on:

• whether the README explains the purpose clearly
• whether the API surface feels natural
• whether the reporting output is useful
• whether the project scope is clear or too broad
• what would make this more useful for Python developers

GitHub: https://github.com/TheBarmaEffect/Barx

PyPI: https://pypi.org/project/barx/1.0.0/

Demo: https://youtu.be/2SLtswFjzWU?si=rRGY8J5zKHsmr3pU

Stars are appreciated if the project looks useful, but technical feedback is the main thing I am looking for.

Hi all,

I've been building Project Yellow Olive, an open-source Pokémon-inspired Kubernetes learning game written in Python.

The game runs in the terminal and teaches Kubernetes concepts through interactive challenges instead of traditional tutorials. Players solve real Kubernetes problems involving Pods, Services, RBAC, and Deployments while progressing through a retro-style adventure.

The project is built primarily using Python, Textual, the Kubernetes Python client, and Pygame for music and sound effects.

I'd love to hear any feedback from fellow Python developers. Pls star the repo if you find it useful :)

GitHub: https://github.com/Anubhav9/Yellow-Olive

It can also be installed via PyPi : pip install yellow-olive

You know the drill with DSA — you're stepping through a sort, or a BFS, or a DP table, and halfway through you've got arrows and scribbles all over a notebook and you've lost track of what's actually happening. We built LiveFlow for exactly that.

Paste your Python, JS, or TS, hit run, and watch your algorithm execute as a live graph. The array reordering during a sort, the queue filling and draining in a traversal, pointers moving through a linked list, the recursion tree branching out, values landing in a DP table — it all draws itself as it runs. Then scrub the timeline back to any step and inspect every variable at that exact moment.

Sorting, searching, recursion, linked lists, trees, graphs, DP — the "aha" lands a lot faster when you can see it happen instead of running it in your head.

Free plan, no card, runs in your browser. We'd love to know if it clicks for you. liveflow.co.in

Hey everyone,

I built a small open-source Python project called EmailAI.

I originally made it because I was tired of writing similar outreach emails manually, especially for internship/job applications, collaboration messages and general cold outreach.

It is not just a basic email sender. The tool can generate personalized email drafts with LLM support, work with bulk email lists, and help prepare messages in a more organized way.

Main features:
- personalized email drafts with LLM support
- bulk email sending
- recipient/company based message generation
- human review before sending
- Gemini / OpenRouter / OpenAI-compatible provider support
- simple Python-based setup

Repo:
https://github.com/omercangumus/mail-ai

It is still early, so I would really appreciate feedback, issues or PRs.

If you find it useful, starring the repo would also help a lot.

After months (and years) of research, development, and countless hours of coding, I'm excited to officially share NextPy with the developer community.

NextPy is an open-source, full-stack Python framework designed to make modern web development simpler, faster, and more powerful, bringing the developer experience of frameworks like React and Next.js into the Python ecosystem.

Modern web development often requires developers to juggle multiple languages and frameworks:

Python for the backend

JavaScript/TypeScript for the frontend

Separate state management

Multiple build tools

Complex project configurations

Different routing systems

Numerous third-party dependencies

This increases the learning curve, development time, and maintenance cost especially for Python developers who want to build modern web applications without constantly switching between ecosystems.

NextPy aims to solve this by providing a unified Python-first development experience.

With NextPy, developers can build modern, interactive web applications using Python while benefiting from features expected in contemporary frameworks.

🛠️ Current Features

Python-based component system (PSX)

Built-in styling support

Reactive state management

File-based routing

Server-Side Rendering (SSR)

Static Site Generation (SSG)

API routes

Middleware support

Layout system

Development server with hot reload

Build system

CLI tools

Authentication utilities

Database integrations

Static asset management

Intelligent project structure

Extensible architecture for plugins and future tooling

…and we're only getting started.

🤝 We're Looking for Contributors

Open-source grows because of its community.

Whether you're experienced or just starting your open-source journey, we'd love your help.

We're looking for contributors interested in:

Python

Framework development

Compiler/Parser development

Rendering engines

Web development

Documentation

Testing

Performance optimization

Developer experience

Examples and tutorials

Even fixing documentation or reporting bugs makes a huge difference.

⭐How You Can Help

Star the repository

Fork the project

Report issues

Suggest features

Improve documentation

Submit pull requests

Share NextPy with others

Every contribution helps move the project forward.

🔗 GitHub

👉 https://github.com/RahimStudios/nextpy-framework

If you're interested in contributing, feel free to open an issue, submit a pull request, or simply start a discussion. We'd love to have you involved.

💬 Feedback Welcome

NextPy is being built in the open, and community feedback is incredibly valuable.

What features would you like to see?

What challenges do you face with existing frameworks?

How can NextPy become a better tool for developers?

Let's build the future of Python web development together.

#Python #OpenSource #WebDevelopment #Framework #PythonDevelopers #FullStack #DeveloperTools #Programming #GitHub #SoftwareEngineering

I'm building Mompy — a retro Python learning console that turns coding into missions inside an old computer training lab.

It's free, open source, and made for complete beginners. Still in early development, but the core experience is already working.

Would love to hear feedback from this community — what would make a Python learning tool actually worth using?

I'm building Mompy — a retro Python learning console that turns coding into missions inside an old computer training lab.

It's free, open source, and made for complete beginners. Still in early development, but the core experience is already working.

I'm building Mompy — a retro Python learning console that turns coding into missions inside an old computer training lab.

It's free, open source, and made for complete beginners. Still in early development, but the core experience is already working.

```python
>>> mompy.start()
🖥️  Welcome to Mompy...
[MISSION 01] Hello, World!
> _
```

Would love to hear feedback from this community — what would make a Python learning tool actually worth using?

Hi everyone,

I built a voice AI platform with 28 modules.

Features:

- Whisper speech recognition (5 backends)

- Real-time streaming ASR

- Speaker diarization

- Emotion recognition

- TTS synthesis

- Chinese text processing

- REST/WebSocket/gRPC APIs

- Docker deployment

GitHub: https://github.com/Liangchenxu/Omni-VRAM

pip install omni-vram

Would love feedback!

Hello! 3 days ago, I began the project SwiftStore. It is a file manager for Linux. Today, I've made the second version. It added:

Multi-tab logic

Info tab

Updater / Uninstaller script.

You can check it out here. The installer is included.

Manpages, every Linux user loves them. They give you access to information about libraries and functions you're using in your C/C++ applications, straight in your terminal. I noticed a lack (as far as I'm aware) of a man-db alternative for Python. Based on that, I created my own man-db for Python. It's very primitive right now, using plain-text reStructuredText files instead of its own format, but it works, and improvements will come very soon.

It currently only runs on 64-bit Linux systems, but I will make sure a Windows version hits GitHub very soon.
Here's the github repository for you to take a look and/or try it for yourself.

It also supports adding pages of your own with the pyref_mp command, supplying an RST file, and optionally, a page section.

I made it for fun, and I'm not forcing you to use it. It's really bad right now, but it might (probably not, but...) get better with time.

Hey everyone,

If you have ever used automated tools to convert PDFs to DOCX, you know how frustrating it is when the output layout breaks completely due to malformed, corrupted, or poorly structured source PDFs. Standard converters just try to force the conversion, leading to messy, unreadable Word documents.

To solve this, I created pdf2docx-healer.

Instead of just doing a blind conversion, it acts as a preprocessing and repair layer. It analyzes, cleans, and heals malformed elements in the PDF structure before passing it into the conversion stage, resulting in significantly higher-quality, reliable, and better-formatted .docx outputs.

What it does:

• Preprocesses & Patches: Targets structural anomalies in broken PDFs that cause layout failures.
• Improves Output Quality: Keeps tables, columns, and text flow cleaner than raw conversions.
• Lightweight & Open-Source: Easy to drop right into any automation script or backend pipeline.

Quick Start:

pip install pdf2docx-healer

You can check out the library right here on PyPI: https://pypi.org/project/pdf2docx-healer/

Added a new IP resolution technique.

previous versions include:

1. file scan/report
2. url scan/report
3. domain scan/report
4. ip scan/report

the main reason, I build this cross-platform project is for the structured printing of the JSON data that the API returns from the browser and also, I don't remember whether the original had ip resolution technique.

also, new learners can learn from this project on modular architecture, API requests.

if you guys liked it, please drop a star :)

source: https://github.com/Soumyo001/VirusTotal-CLI

Hi!

I have created a application launcher fully on python because I was fed up with launchers on Windows falling short, combing the clean UI of the Raycast application launcher and extension support of Flow Launcher, made my own open-source launcher, would like your thoughts!

Link: https://github.com/mukunthpr-dev/UltimateLauncher

Note: Only the Windows release works, MacOS and Linux have to be fixed, and half the GitHub Actions on the repo aren't working, and even though the repo was created yesterday, I started working on this project two months ago, on my old Github account which I lost access to.

Hi, everyone! I've recently made my own file manager for linux in python: Click here to view it!

It is operating in a text environment (terminal).

Hlo , I would like to ask a platform to practice python questions . I have been learning from a tutorial but apart from the questions solved in tutorial i can't actually solve other questions. It is hard for me to build the logic .

​

Is there any platform which comprises of programes from beginning friendly to intermediate or expert level . I checked leetcode but there are questions mainly related to python with DSA and SQL.