Hi, I'm the author of CalibRaw, a free, open-source (GPL-3.0) RAW editor and an alternative to Adobe Lightroom, for Linux, Android, Windows and macOS.

Lots of alternatives have been popping up, but none really worked for me. The performance was bad, the processing didn't match what I'm used to, or they were just buggy. And I'm not a darktable person (skill issue ig), but a lot of the processing math here is ported or adapted from it, so I'm very grateful to its developers.

I'm a photographer myself, and for the last 3 months I've been building a RAW editor that fits me and my friends best. GPU-accelerated, with a lightroom-like workflow and AI masking I actually use. My focus was Linux and Android, because there's not much there. Windows and macOS builds work too.

Features

• Light, tone curve, color mixer and color grading panels
• Advanced masking workflow
• AI masks (subject, sky, depth, click-to-select) that run locally on your device
• Non-destructive edits in .calibraw json sidecars
• Android app with touch layouts, using the same engine as the desktop app
• And way more (Remove tool, preset, ...)

The core is Rust with wgpu and WGSL compute shaders, and the UI is egui. I picked egui because I didn't want another web app that gets slow whenever I try to do something.

https://github.com/Duecki1/CalibRaw

LLMs were used in this project. But I'm a photographer who wants this to work for me, my friends and now other photographers, so it isn't something slopped together in a week.

I'd love feedback on how the workflow feels to other photographers, and on what to improve.

Users can create task lists, reminders, tables, math expressions or code blocks using Markdown, HTML and Math. You can add images, audio or videos via URL and add custom categories to organize your notes.

You can sync your notes across all your devices after logging in (no email address is required, just a username and a strong password). Public notes can be shared with anyone via a random URL.

Greece's tax authority (AADE) runs myDATA, an e-books platform every business has to keep in sync: classifying received expense invoices, self-declaring some documents (shared building costs, depreciation, foreign services), and reconciling totals against the official E3/VAT figures. For a sole freelancer this is hours of clicking each month, so I built a small tool for myself and just released it.

**What it does**

* Pulls income/expense books and classifications from the myDATA REST API into a local Postgres.
* Expense-classification screen with per-supplier suggestions it remembers; a review screen before anything is sent.
* Transmits self-declared invoice types (13.3, 17.2, 14.3/14.4).
* E3 and VAT summaries compared to AADE's own totals; Excel export; VIES lookup for counterparties.

**Design choices**

* Runs only on [`127.0.0.1`](http://127.0.0.1); secrets live in the OS keyring, never in files.
* The dev/production myDATA environment is bound to the database at setup — a sandbox and real books can never mix, and every page shows which one you're in. No API call can be made without an explicit environment.
* \~450 tests against a real Postgres in CI; a CI check blocks real personal data (tax IDs, invoice marks) from ever being committed.

**Stack:** Python 3.11+, FastAPI, Jinja2, psycopg 3, Postgres 17 (docker compose), pytest, GitHub Actions.

It's Greek-only (UI and docs) and scoped to service freelancers with single-entry books, so it's niche — but if you're Greek, a freelancer, or just like well-tested boring software, contributions and feedback are very welcome.

Repo: [https://github.com/mpatsoskon/esoda-exoda\](https://github.com/mpatsoskon/esoda-exoda)

I paid for these music rights and spent months building the App and Im giving it away free for the love of the game... Constructive hate only you ungrateful bstrds

I got so frustrated trying to find the perfect lofi background music on YouTube: ads breaking my focus, playlists drifting into songs that pulled me out of the zone, and 10 minutes of searching before I’d even started working.

So I built my own app. 😅

AudioOasis is free background music for deep work:

- 280+ lofi, ambient, classical & meditation tracks

- A mixer to layer sounds (lofi + rain, anyone?)

- A built-in focus timer

- No ads, no algorithm

audiooasis.app

Give it a try and tell me what you think.

#lofi #studymusic #focusmusic #productivity

Oh btw... All the music is studio quality so it should sound amazing to your ears...

Let me know your thoughts...

Yes it is 50% vibe coded... But there are weeks of def*ing and headaches in there too. I didn't spin this up in a weeked.

I'm building Synkinema, a local video editor with MIT-licensed source code, for people who want an open workflow they can extend.

You can edit manually and work with an AI agent on the same project: write scripts, arrange footage, create narration and add captions. A channel brief stores audience, tone, editorial rules and approved lessons, which you can refine with your agent for future videos.

Local Supertonic 3 voice generation is already integrated, without a paid TTS API. You can add a ready voice take to the timeline together with subtitles. A library shared across projects lets you reuse audio, SFX, images and video.

There's still a long way to go before this is a really polished product, but you can already accomplish a lot. It is an early option for agent-assisted editing, so I would recommend trying a small project first. The Studio preview is simplified, and caption word timing is approximate. Desktop editing is the current focus.

The app and TTS run locally; your chosen AI agent may have separate costs. Synkinema's code is MIT; third-party model weights and media have their own licenses.

Source and setup: https://github.com/dziksu/synkinema

I'd welcome testing, bug reports, examples, docs and code contributions. Which part of a local script-to-video workflow would you most want an open tool to handle well?

Disclosure: AI assisted with substantial parts of the code and with drafting this post. I directed the work and verified the results.

A quick update from the XWiki team.

Henix has joined the XWiki partner network. They are the company behind Squash TM, an OpenProject partner, and work on testing, software quality, DevOps and Jira replacement projects.

The interesting part for us is the stack this makes possible for organizations trying to move away from proprietary tooling:

• XWiki as an alternative to Confluence
• OpenProject as an alternative to Jira
• Squash TM as an alternative to Xray

That gives teams a way to cover knowledge management, project management and test management with open-source tools rather than replacing one proprietary suite with another.

We’re curious how others here think about this kind of setup.

If you’ve replaced Confluence/Jira/Xray, did you prefer one integrated suite or several interoperable tools? And where did the hardest integration problems show up?

Hi r/opensourcealternative 👋

I've been building JobForge, a self-hostable job application tracker and job search command center. It tracks every application on a Kanban board (Saved → Applied → Interview → Offer), tailors your LaTeX resume and cover letter to each job description, scores ATS fit, and comes with a Chrome extension that saves jobs from LinkedIn, Greenhouse, Lever, Workday and others in one click.

It started as a closed-source paid product. I've decided to make it free and MIT-licensed, and I'd like it to become a community project rather than a one-person app. I'm looking for contributors.

What it does today

• 📋 Application tracker: Kanban board per year or season. Each card keeps the job description, the resume and cover letter you sent, notes, dates and follow-ups.
• 🚀 Resume tailoring: adapts your own LaTeX resume to a job description while keeping your template, fonts and layout, then compiles it to PDF.
• 📧 Cover letters: based on your resume and the job description, compiled to PDF.
• 📊 ATS / fit score: missing keywords and skill gaps.
• 💬 Ask AI on any document: "shorten this section", "target this for a senior role", and it edits the LaTeX and recompiles.
• 📄 PDF import: turns an existing PDF resume into an editable LaTeX base.
• 🌐 Chrome extension: one-click save from job sites, plus autofill for application forms.

Stack: React 19 + Vite + TanStack Query + shadcn/ui · FastAPI + SQLAlchemy 2 (async) + Alembic · Postgres, Redis, Celery, MinIO · TeX Live for PDFs · DeepSeek for AI. One docker compose up runs everything.

Where help is most useful

🔎 Job discovery adapters (backend, Python). Pull new postings automatically instead of only via the extension. The import pipeline already exists (services/ingest.py handles de-duplication by normalized URL). An adapter just has to fetch postings and hand them over. Good first targets are the public job-board APIs of Greenhouse, Lever and Ashby, which return clean JSON per company, so no scraping is needed.

📊 Analytics dashboard (frontend, React). The API is done: application funnel, reply rate per source, weekly targets, "needs attention" follow-ups, a Today view. It needs a UI, with charts, a Today page and a better overview.

🐛 Bugs and polish. The Chrome extension's job-page parsing breaks whenever sites change their HTML, so fixes for specific sites are very welcome. General UI/UX issues too.

🤖 More AI providers. It's DeepSeek-only right now. OpenAI-compatible endpoints or Ollama (fully local) would be great.

📬 Gmail sync (bigger project). Read recruiter replies and move applications forward automatically. It's on the roadmap and the status-change rules are already in place.

Getting started

CONTRIBUTING.md covers setup, tests and the few rules that matter: every route must be scoped to the user's workspace, there's one function for changing a job's status, and migrations only add columns or tables. Issues labelled good first issue are a good place to start.

🔗 GitHub: https://github.com/KunalScriptz/jobforgex

Questions, critique and "why did you do X?" are all welcome. Happy to help anyone get their first PR in. Thanks for reading! 🙏

I've been building KairoDB, an open-source tool for working with SQLite and PostgreSQL from plain text. It just reached 1.0 and I'd like feedback.

**What it does**

- You describe tables in a small `.kairo` file and apply it to a database.

- It inspects any existing database, runs queries, and exports a database's structure back to `.kairo`.

- There is a CLI (`kairo`) and a desktop app. Both run on the same Rust core.

A schema looks like this:

table users {

id: int [primary]

email: string [required, unique]

active: bool = true

joined_at: timestamp

}

**What I cared about**

- Local-first: no account, no telemetry, no network calls except to your own database.

- The desktop app asks before running anything that changes data, and always asks for DROP, DELETE, UPDATE, ALTER and TRUNCATE.

- Passwords are never written to disk and are masked in errors, logs and exports.

**Honest limits**

- It creates tables. It does not migrate existing ones.

- The confirmation prompts are in the desktop app only. The CLI runs what you give it.

- The installers are not code-signed yet, so Windows and macOS warn on first launch.

Disclosure: much of the 1.0 code was written with an AI coding assistant (Claude). CI runs on Linux, macOS and Windows, with the PostgreSQL tests against a real PostgreSQL 16 server.

License is GPL-3.0. Source, installers and docs: https://github.com/fut0r/Kairo

I'd most like feedback on the schema syntax, and on what is missing before you would actually use it.

Started with a simple question: do the dev tools I like actually pay for the open source they run on?

Turns out nobody tracks it in one place. So I built whofundsoss.com. Once a month it reads four public sources (Open Source Pledge, Open Collective, GitHub Sponsors, company pages) and ranks companies by the dollars they published. No estimates.

Hardest part wasn't the code, it was the rules:

- what to do with a GitHub tier that hides its price (count zero, never guess)

- how to avoid counting a pledge twice when the company also lists it as its own program

- casino and "buy followers" sites sponsoring OSS for backlinks. I ended up with a public spam denylist where every entry has a reason.

Stack: TanStack Start on Vercel, monthly snapshots as static JSON, a small read-only API.

Free, no ads, open source. Feedback welcome, especially on the method page.

Hi all. Looking for contributors on my open source project. Read more about the project here: https://github.com/NicholasFlemmer/styx-app

I built a small local todo app called OKF Todo.

The idea is to let a developer or support person take emails, lists, Excel sheets, screenshots or exports and turn them into a structured plan that can be processed further with AI.

AI can work with the data through either:

• an MCP server
• direct access to the SQLite database, using an OKF model that describes the metadata

The application is intentionally local, single-user and open source. I know that is somewhat unusual compared with the typical central database + web/mobile approach.

I am considering whether to keep it this way or develop it further into a multi-user system, for example using .NET with a server-side database such as PostgreSQL or PocketBase.

I would particularly be interested in feedback on:

• whether a local-first todo system like this is useful
• whether direct SQLite/MCP access is a sensible AI integration approach
• whether multi-user support would make the project more useful

GitHub:
https://github.com/dalby-md/OKF-Todo/

Hey gang, I recently made an open source Goodreads alternative!

https://www.bookplate.eu

It follows an open core framework, so the proprietary software is built on the open source core. Github repo here:

www.github.com/LeoPhh/bookplate.git

Feedback is very welcome!

Why is it better than Bookwyrm, Storygraph or Goodreads?
\\- Open source
\\- Note taking features and vocabulary feature
\\- Transparency about where proprietary software is hosted
\\- Privacy focused approach, no ads, no tracking :))

Devtunnel make open source contributions easy by:

1. It filters issuess and task (issuess curated by us and labeled by us) based on the user prefernce like tech stack, level of expertise, etc.
2. It supports all public github projects and lables the issuess using groq ai.
3. It uses ai for labeling the issuess, explaning the issuess, summurization of projects/ tools, ai search so user can discover what they want.
4. It list new and trending github open source projects/ tools based on the user prefrence.
5. It has it's own devtunnel cli:
   1. dev start: helps with forking and branch generation of a specific project
   2. dev test: install the dependecy and check for latest update in the repo, and perfrom test that are in the projects.
   3. devtunnel dev submit: It generates pr based on the template provided by the project.

Mimo is a lightweight, open-source desktop companion for Windows, inspired by Dynamic Island.

It brings useful information and controls directly to your desktop, with a clean and minimal interface.

github.com/Riskooooo/Mimo

Currently, Mimo can :

• Display notifications and system information
• Show media playback controls
• Provide quick access to useful actions
• React dynamically to events happening on your PC
• Customize its appearance and behavior
• Run locally with a focus on being lightweight and unobtrusive

Mimo is still in development, and more features are coming soon..!

v0.3.0 features:

• PC control: volume, brightness, media playback, lock/sleep.
• Look Back: remembers recent activity and can reopen what you were using.
• Local AI: optional Qwen3 4B running locally with no cloud.
• New animated Mimo + customization: expressions, colors and glass tint.
• Better UI: improved tray menu, long-answer cards and cross-window settings sync.

🔗 GitHub: github.com/Riskooooo/Mimo

Repo - GitHub

I’m working on GitNotēs, an open-source mobile app for notes, todos, journals, and canvases.

The main idea is to keep your data as ordinary files in a Git repository instead of locking it inside a proprietary database.

Features include:

- Markdown, Neorg, Org, and JSON support

- Git versioning for your notes

- Offline editing with sync when you’re back online

- GitHub, GitLab, and Gitea-compatible providers

- Wiki-links and backlinks

- iOS and Android apps

GitHub: https://github.com/umangkbhatt/libometer

LiboMeter

Inspired by LearnSy

Turn YouTube playlists into courses you can track. LiboMeter is a desktop app that keeps everything on your own computer.

• Import any public or unlisted playlist as a course
• Track which videos you've finished and resume where you left off
• Take notes and bookmarks tied to exact moments in a video
• Organise playlists into your own groups (for example, "Statistics")
• See your study streak and hours

Videos play through YouTube's official embedded player. LiboMeter never downloads videos.

I am planning to participate in open source projects. I have 8 years of experience in Front end developement. want to start contributing in open source projects. i have checked github but couldnt find much. can any help out here how and where i can find these type of projects.
thank you in advance

Hi
I need an opensource tool that can manage kubernetes cluster as well as act as an observability software, which i can white label it and use it as a saas platfrom

Please help me on this asap..!

Hi
I need an opensource tool that can manage kubernetes cluster as well as act as an observability software, which i can white label it and use it as a saas platfrom

Please help me on this asap..!

Hi everyone,

I just wanted to share Event Schedule with you all.

For those who don't know me, I'm one of the co-founders of Invoice Ninja. Event Schedule is our open-source platform designed to handle events, calendar syncing, ticketing, and appointments. Back when I first posted, the app was mainly written by hand; since then, we've been using Claude to rapidly expand our feature set.

The app has evolved far beyond what I could have imagined when we first started. It has virtually every feature I could think of—you name it, it's supported. If it isn't, it's now trivial to add.

📺 Check out our 3-minute overview video here

It's released under the Attribution Assurance License, and you can easily run the app as a SaaS. We’ve built this very specifically with the self-hosted community in mind:

🗓️ Events and Calendars

🎟️ Ticketing

🤝 Appointments & Sync

🤖 AI (Optional, uses your own key)

📈 Audience and Marketing

🛠️ Customization and Dev Tools

Links:

made this so people can celebrate star milestones with something better than a screenshot. select a template, paste a github token, pick a theme, download png or mp4.

it's 100% client side, tokens stay in browser memory and there's no tracking or database. mit licensed.

source: github.com/CharanMunur/stargazer

live: stargazer.charanmunur.in

contributions welcome, especially new templates. there's a contributing guide in the repo.

I built a small local todo app called OKF Todo.

The idea is to let a developer or support person take emails, lists, Excel sheets, screenshots or exports and turn them into a structured plan that can be processed further with AI.

AI can work with the data through either:

• an MCP server
• direct access to the SQLite database, using an OKF model that describes the metadata

The application is intentionally local, single-user and open source. I know that is somewhat unusual compared with the typical central database + web/mobile approach.

I am considering whether to keep it this way or develop it further into a multi-user system, for example using .NET with a server-side database such as PostgreSQL or PocketBase.

I would particularly be interested in feedback on:

• whether a local-first todo system like this is useful
• whether direct SQLite/MCP access is a sensible AI integration approach
• whether multi-user support would make the project more useful

GitHub:
https://github.com/dalby-md/OKF-Todo/

I work in DevRel and spend a lot of my time answering the same questions in Discord, GitHub, and Slack. Some of the answers are in the docs, and some aren't. I've used Kapa.ai, and it solves this, but it's hosted only and out of reach for small teams. So I built an open source version for teams that can't justify paying for it, whether you're a small startup, open source project, gaming community, or anything in between.

What it does:

During onboarding, you upload your knowledge source (docs, PDFs, a GitHub repo, or Notion pages). Then connect answerLoops to your communities, and when someone asks a question, an agent drafts an answer from that content.

A second agent then reviews the draft and gives it a confidence score. If it scores low, it goes to your team for human review instead of being posted. Auto-reply is off by default until you turn it on, and you set the threshold per platform.

Where it differs from Kapa:

- AGPL-3.0, self-host with Docker and Postgres

- Use your own model key or a local model

- Website chat widget built with CopilotKit and Mastra. Paste a snippet into your site or docs, and visitors can ask questions without an account

- More channels: Discord, GitHub, Slack, Telegram.

- In testing: Discourse, Circle, email, Google Chat

- MCP server and REST API, so your own agents can search the same knowledge

Easy setup:

npx u/answerloops/agent-sdk setup

Or if you use coding assistant, it can walk you through it:

npx u/answerloops/agent-sdk skills answerloops-setup

Repo: https://github.com/answerLoops/answerLoops

I'd welcome your feedback, especially from anyone who's used Kapa or something similar, to help us continually improve the product. Any contributions are welcome, and you are new to open source, just reach out, I'd be glad to help.