It's an intriguing, new programming language for powerful data computing, which can work as a high-efficiency data warehouse.
Using esProc SPL, you can run it as an analysis database or middleware, and compute tons of structured or semi-structured data for analyzing massive datasets.
🆙 High performance: Rich computing class libraries with numerous built-in high-performance algorithms.
🔥 🔥 🔥 Open Source JIRA, Linear, Monday, and Asana Alternative. Plane helps you track your issues, epics, and product roadmaps in the simplest way possible.
Plane
Open-source project management that unlocks customer value
Meet Plane, an open-source project management tool to track issues, run sprints cycles, and manage product roadmaps without the chaos of managing the tool itself. 🧘♀️
Plane is evolving every day. Your suggestions, ideas, and reported bugs help us immensely. Do not hesitate to join in the conversation on Discord or raise a GitHub issue. We read everything and respond to most.
⚡ Installation
The easiest way to get started with Plane is by creating a Plane Cloud account.
If you would like to self-host Plane, please see our deployment guide.
Installation methods
Docs link
Docker
Kubernetes
Instance admins can configure instance settings with God-mode.
🚀 Features
Issues: Quickly create issues and add details using a powerful rich text editor that supports file uploads. Add sub-properties and references to problems for…
Please keep in mind that PocketBase is still under active development
and therefore full backward compatibility is not guaranteed before reaching v1.0.0.
API SDK clients
The easiest way to interact with the API is to use one of the official SDK clients:
You could download the prebuilt executable for your platform from the Releases page.
Once downloaded, extract the archive and run ./pocketbase serve in the extracted directory.
The prebuilt executables are based on the examples/base/main.go file and comes with the JS VM plugin enabled by default which allows…
Superduper: Bring AI to your database! Integrate AI models and workflows with your database to implement custom AI applications, without moving your data. Including streaming inference, scalable model hosting, training and vector search.
Superduper (formerly SuperDuperDB) is a Python framework for integrating AI models and workflows with major databases. Implement custom AI solutions without moving your data through complex pipelines and specialized vector databases, including hosting of your own models, streaming inference and scalable model training/fine-tuning.
Transform your existing database into an AI development and deployment stack with one command, streamlining your AI workflows in one environment instead of being spread across systems and environments:
db = superduper('mongodb|postgres|mysql|sqlite|duckdb|snowflake://<your-db-uri>')
Run Superduper anywhere, or contact us to learn more about the enterprise platform for bringing your apps to production at scale.
Your friendliest open source all-in-one automation tool, designed to be extensible through a type-safe pieces framework written in Typescript.
🎨 Flow Builder
User-friendly Workflow Builder! Enjoy building fun and interactive flows with support for Branches, Loops, and Drag and Drop.
🔌 Pieces
Activepieces integrates Google Sheets, OpenAI, Discord, and RSS, along with 80+ other integrations. The list of supported integrations continues to grow rapidly, thanks to valuable contributions from the community.
Activepieces is an open ecosystem; all piece source code is available in the repository, and they are versioned and published directly to npmjs.com upon contributions.
If you cannot find a specific piece on the pieces roadmap, please submit a request by visiting the following link: Request Piece
Alternatively, if you are a developer, you can quickly build your own…
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
ChatGPT Desktop Application (Available on Mac, Windows, and Linux)
Note
If you want to experience a more powerful AI wrapper application, you can try the Noi (https://github.com/lencx/Noi), which is a successor to the ChatGPT desktop application concept.
Thank you very much for your interest in this project. OpenAI has now released the macOS version of the application, and a Windows version will be available later (Introducing GPT-4o and more tools to ChatGPT free users). If you prefer the official application, you can stay updated with the latest information from OpenAI.
If you want to learn about or download the previous version (v1.1.0), please click here.
I am currently looking for some differentiating features to develop version 2.0. If you are interested in this, please stay tuned.
This repository contains JavaScript based examples of many
popular algorithms and data structures.
Each algorithm and data structure has its own separate README
with related explanations and links for further reading (including ones
to YouTube videos).
Hope you enjoyed the article, if you have some more, amazing open-source GitHub projects, please share them in the comments section!
It's been my goal for a long time to spread a project-based learning approach through the community and having BigDevSoon up and running, an app we've been working on for the last 2 years is a great achievement to us.
You can get in touch with me e.g. on LinkedIn. (I'll be happy to do some more technical writing or look for a coding opportunity!)
Adrian | Founder of BigDevSoon
