Thursday, April 10, 2025

11 Open-Source Projects That are Legit Game-Changers

 

Just a regular software developer who loves digging into cool stuff on GitHub. I found 11 open-source projects that are legit game-changers. No fancy jargon here, just me chatting with you like we’re grabbing coffee. These repos have tons of GitHub stars, so you know they’re the real deal. Whether you’re coding all day or just messing around with ideas, these tools are gonna make things so much easier. Let’s jump in!

1. APITable (14.5k GitHub Stars)

Okay, imagine Airtable, but less expensive and open-source. APITable is this awesome tool where you can build apps with a spreadsheet vibe. It hooks up to tons of other apps — like over 6,000 through Zapier — so you can automate stuff like tracking projects or customers. It’s perfect if you want something quick and team-friendly without spending a dime.

🔗 https://github.com/apitable/apitable

2. Formily (10.2k GitHub Stars)

This one’s from Alibaba, and it’s all about forms. Formily lets you whip up forms for React or Vue super fast using something called JSON Schema. It’s like magic for building dashboards or anything with lots of data entry. If you hate wasting time on forms, this is your new best friend.

screenshot by author

🔗 https://github.com/alibaba/formily

3. NocoBase (8.9k GitHub Stars)

NocoBase is for when you need a big, serious app — like something for work, maybe a CRM or inventory system. It’s no-code/low-code, so you don’t have to be a coding wizard, and you can add plugins to make it do whatever you want. With almost 9k stars, it’s solid for big projects.

screenshot by author

🔗 https://github.com/nocobase/nocobase

4. Mitosis (9.3k GitHub Stars)

Ever get annoyed writing the same component for different frameworks? Mitosis fixes that. You write it once, and it works in React, Vue, Angular — all the big ones. It’s a total time-saver if you’re juggling multiple projects or teams.

screenshot by author

🔗 https://github.com/BuilderIO/mitosis

5. GrapesJS (20.1k GitHub Stars)

GrapesJS is like a web design playground. You drag and drop stuff to make pages — no coding needed. For things like landing pages or quick mock-ups, it’s incredibly user-friendly, thus it boasts over 20k stars. This is a lifesaver if you have ever battled web design.

screenshot by author

🔗 https://github.com/GrapesJS/grapesjs

6. Directus (25.6k GitHub Stars)

Directus is this cool headless CMS — basically, it takes your database and gives it a nice interface. With 25.6k stars, people love it for managing content without all the extra fluff. Hook it up to your project, and you’re good to go for blogs, apps, whatever.

screenshot by author

🔗 https://github.com/directus/directus

7. Flowise (19.8k GitHub Stars)

Flowise is where AI gets fun. It’s a drag-and-drop tool for building stuff with big AI models — like chatbots or automation. Almost 20k stars means it’s legit, and it’s awesome if you wanna dip your toes into AI without getting overwhelmed.

screenshot by author

🔗 https://github.com/FlowiseAI/Flowise

8. ToolJet (27.2k GitHub Stars)

ToolJet’s my go-to for quick internal tools. Think dashboards or little apps for your team. It connects to databases and APIs, and you build it visually. With 27.2k stars, it’s a no-brainer for saving time on custom work stuff.

screenshot by author

🔗 https://github.com/ToolJet/ToolJet

9. NocoDB (43.1k GitHub Stars)

NocoDB is like Airtable’s cooler cousin. It turns your database into a spreadsheet you can play with — grids, kanbans, you name it. It’s got 43.1k stars because it’s free, handles huge data, and makes organizing anything a breeze.

screenshot by author

🔗 https://github.com/nocodb/nocodb

10. AppFlowy (47.8k GitHub Stars)

AppFlowy’s basically Notion, but you own it. It’s open-source, so you can run it yourself and tweak it however you like. With 47.8k stars, it’s perfect for notes, teamwork, or just keeping your life together.

screenshot by author

🔗 https://github.com/AppFlowy-IO/AppFlowy

11. Strapi (60.2k GitHub Stars)

Strapi’s the king of headless CMSs — 60.2k stars don’t lie! It’s all about managing content and spitting it out through APIs for your apps or sites. If you need something fast and flexible, this is it.

screenshot by author

🔗 https://github.com/strapi/strapi

Why These Are Worth Your Time

Look, these tools are all about making your life easier. Some let you build apps without coding (APITable, ToolJet, NocoDB), others handle content (Directus, Strapi), and a few just save you from repetitive work (Mitosis, Formily). Plus, with stars from 8.9k to 60.2k, you know tons of developers are already hooked.


Open-source projects provide great value to developers from artificial intelligence applications to authentication systems. I have compiled in this post nine amazing open-source projects worth investigating right now. Let us start right away. 👍

1. OPAL: Real-time Policy Management for Safe Access 🔐

OPAL is revolutionary if you are creating programs with complicated access control and authorization needs. Policy engines such as Open Policy Agent (OPA) and AWS Cedar rely on OPAL as a layer of administration to guarantee that policy changes sync automatically across your system.

📂Github 5.2k ⭐ : https://github.com/permitio/opal

screenshot from original site

Why You Should View It?

✅ Policy changes in real time across distributed systems Perfect coordination with Git, APIs, and outside services efficiently controls access rights.

2. Hexabot AI: Create clever chatbots free of code 🤖

Want to create chatbots driven by artificial intelligence without learning intricate coding? An open-source chatbot builder, hexabot AI lets you create multi-channel chatbots with just a basic visual editor.

📂Github 682 ⭐ : https://github.com/hexastack/hexabot

screenshot from original site

What Sets It Apart?

Drag-and-drop interface no-code chatbot creation supports customer service bots…

3. Kitops: unified packaging for artificial intelligence and machine learning artifacts 🏗️

Teams in artificial intelligence and machine learning sometimes handle several artifacts — models, datasets, source code, etc. By means of an open-source packaging and versioning system grounded on OCI (Open Container Initiative), Kitops streamlines this.

screenshot from original site

📂Github 739 ⭐ : https://github.com/kitops-ml/kitops

Why Is Investigating Worth It?

✅ Standardized packaging for models of artificial intelligence, datasets, and more
✅ guarantees repeatability in self-hosted AI/ML systems; ✅ simplifies cooperation between developers, data scientists, and ML engineers.

4. Langflow Create Minimal Code AI Apps 🧠

Particularly those using multi-agent artificial intelligence and Retrieval-Augmented Generation (RAG) approaches, Langflow is a low-code platform that makes building intricate AI applications simple.

screenshot from original site

📂Github 53.8 k ⭐: https://github.com/langflow-ai/langflow

Why Will You Love It?

✅ Easy Python-based artificial intelligence development framework Supporting several models, APIs, and databases centers on app logic rather than infrastructure complexity.

5. ReadySet — Boost Database Performance ⚡

Slow SQL searches dragging down your app? Without app rewrites, ReadySet, a transparent caching layer, accelerates searches for Postgresql and MySQL.

screenshot form original site

📂Github 4.9k ⭐ : https://github.com/readysettech/readyset

How Does It Benefit Developers:

✅ Uses intelligent cache of results to optimise slow searches maintains automatically updated fresh cache data blends perfectly with current databases.

6. InstantDB 🏆 Real-time Database for Frontend Apps

Creating real-time applications usually means configuring intricate backend logic, authentication, and scaling-oriented infrastructure. Through a backend-as — -a-service (BaaS) solution, InstantDB streamlines this.

screenshot from theoriginal site

📂Github 8.3k ⭐ : https://github.com/instantdb/instant

Why would it be helpful?

Frontend apps should have built-in authentication and serverless backend; real-time data sync free from hassle should be available. Easily scaled for expanding uses

7. Multimodal AI Database LanceDB 📊

AI development is complicated since traditional databases save embeddings apart from metadata. By consolidating all the data, LanceDB addresses this and facilitates the management of big artificial intelligence and machine learning initiatives.

📂Github 6k ⭐ : https://github.com/lancedb/lancedb

What Differentiates It?

Stores both actual data (images, text, videos) and embeddings; improves search and retrieval performance; lessens workflow complexity and storage costs.

8 . Agno : AI Agent Framework 🦾

Managing states, memory, and performance presents challenges for developers creating artificial intelligence agents. Agno offers a simple structure for creating, deploying, and supervising AI-powered agents.

📂Github 23.7k ⭐: https://github.com/agno-agi/agno

Why Do Developers Enjoy It?

✅ Advocates local and cloud implementations built-in tracking performance monitoring tools effectively runs states for intricate artificial intelligence processes.

9. Stack AUTH — System of Open-Source Verification 🔑

Stack AUTH is your best bet if you require a self-hosted substitute forAuth0 or Clerk. Without vendor lock-in, this open-source authentication system provides enterprise-grade security together with great customizing.

screenshot from original site

📂Github 5.5k ⭐: https://github.com/stack-auth/stack-auth

Key Attributes:

Perfect for privacy-conscious projects, self-hosted and free supports OAuth, MFA, and SSO; guarantees sensitive data stays on your system.


Source:

https://medium.com/@letscodefuture/11-open-source-projects-that-are-legit-game-changers-e0e57e45ac71 

https://medium.com/@letscodefuture/9-powerful-open-source-projects-you-should-explore-today-7e887aa15509

 

Friday, April 4, 2025

How to create UI with ChatGPT’s new image generator (4o)

 

How I created UI with ChatGPT’s new image generator (4o)

 

Prompts, walkthroughs, and surprises

Is it even possible for ChatGPT to generate UI?

I tested that several times before, but the results were very disappointing.

Below is an example I shared in a newsletter two months ago.

Generated via ChatGPT before the upgrade

It looked too cartoonish to be usable.

However, last week, OpenAI rolled out a major update, so I decided to try it again.

I was able to generate much better UI mockups based on my prompts. I could even create multiple design options for my needs:

Generated via ChatGPT

Today, I’ll show you the experiments I ran, the prompts I used, and some surprises and takeaways along the way.

Let’s dive in.

The Context

OpenAI announced that you can now generate high-quality images in ChatGPT using GPT-4o, instead of the older DALL·E model.

It’s better at following directions and does a better job rendering text in images.

Many people tried it out last week to turn photos into AI art — which is why the Ghibli-style art trend went viral.

I tried it too:

Generated via ChatGPT

But after seeing many interesting arts online, I thought:

What if I could use ChatGPT to generate UI that’s actually useful for a product designer?

That’s where the experiments began.

The Experiments

1. Create a detailed prompt

I used ChatGPT to help me generate a detailed prompt for the UI I wanted.

# Design a clean, modern mobile UI screen (iOS style) for an app titled "SkillVerse – Trending Micro-Courses". The layout should follow the structured sections below.## 1. Status Bar (Top)- **Style**: Standard iOS layout (top safe area)---## 2. Header Section- **Centered Logo**: `SkillVerse`  - **Font**: Medium weight, small size  - **Color**: Blue text  ---## 3. Featured Courses Carousel (Horizontally Scrollable)- **Style**: Swipeable cards with rounded corners and soft shadow  - **Cards**:    - **Card 1**      - Title: **Intro to Motion Design**      - Subtitle: *Starts Apr 2*      - Visual: Animation thumbnail    - **Card 2**      - Title: **Mastering Excel for Freelancers**      - Subtitle: *Starts Mar 31*      - Visual: Productivity icon  ---## 4. Navigation Tabs- **Tabs**:    - **Trending** (Active, **bold label** with **blue underline**)    - Recommended    - Enrolled    - Saved  ---## 5. Filter Row- **Filters (Dropdowns)**:    - **Past 7 Days** (Time-based)    - **All Topics** (Category)    - **All Levels** (Difficulty)  ---## 6. Trending Courses List- **Layout**: Vertical stack of repeatable course items:  - **Left**: Rounded thumbnail    - **Center**:      - Course Title      - Level (e.g., Beginner, Intermediate, etc.)    - **Right**: Save Icon   - **Bottom**: Enrollment count + trend (e.g., 2.4k Enrolled, +12%)   ---## 7. Bottom Navigation Bar- **Tabs**:  - **Home** (Active, highlighted color)    - Search    - Events    - Profile  - **Style**:    - Labels underneath

Then I pasted it into a new chat window in ChatGPT and clicked the “Generate” icon.

2. A code-backed UI generated

Surprisingly, ChatGPT opened an extra panel on the right, triggering its Canvas feature. Then it started generating code.

This immediately reminded me of Claude’s Artifact feature.

Screenshot of ChatGPT

Then I clicked the “Preview” button in the top-right corner.

A responsive, code-backed UI was generated.

Screenshot of ChatGPT

It was delightful to watch, but also seemed less precise/polished than Claude.

3. Ask for a visual mockup instead

Since my intent was simply to generate an image (a visual mockup) rather than a code-backed UI, I asked a follow-up prompt to correct it:

Create a visual mockup instead.

Here is the result:

Generated via ChatGPT

It was surprisingly good, especially compared to what ChatGPT (DALL·E) was able to generate before. A huge upgrade.

Quiz: How many typos can you find in the above AI-generated UI? :)

4. Ask to scale down the UI

Although the UI looked good, I was still a bit bothered by the image cutoff, so I asked:

The top and bottom seem a bit cut off. Could you scale down the UI by about 20% to make it smaller overall?

Here is the result:

Generated via ChatGPT

Looking good!

5. Ask to generate design options

Then I started to get more creative… I wondered, what if I asked it to generate multiple design options for me to consider? That would be even more helpful!

So I wrote this:

Create three design options.Use the same core content but vary the layout, UI elements, and visual emphasis according to the following descriptions:Option 1. Bold & Engaging- Prioritize visual impact and brand expressionOption 2. Functional & Fast- Prioritize speed, clarity, and productivity- Compact UI with smaller cards and dense information hierarchyOption 3. Personalized & Warm- Prioritize connection, trust, and personalization- “For You” carousel with AI-curated course suggestions- Social proof (avatars, badges, friend activity)- Add a “Community” tab for peer-shared content

Here is the result:

Generated via ChatGPT

Again, I was shocked by the improvement in GPT-4o’s image generation.

Although the three options still look quite similar, if you look closely, there are small details — like the “Search” icon, social proof, and copy — that try to make each version distinct from the others.

The result certainly had room for improvement, though. For example, since there’s a lot of information packed into one image, ChatGPT started to struggle with precision. You might notice that some of the text became unrecognizable/distorted.

6. Convert the designs to Figma file

Next, as a fun test, I used Codia AI’s plugin to generate Figma designs based on the visual mockups generated by ChatGPT.

Screenshot in Figma

All the components, including the text, were editable in Figma.

And the font family it used was Intel.

Scary good.

This gives me the ability to customize UI mockups, if I want to make changes.

Final Thoughts

ChatGPT’s ability to generate UI visual mockups is a huge upgrade. It offers much better precision and adherence to prompts compared to before.

That said, the speed is a bit slow, and the accuracy could still be improved. Sometimes the image stops generating halfway; sometimes the results are random and don’t follow the instructions closely.

When I asked ChatGPT to create a 3D mockup based on the design options, things got a little distorted and odd — but not too bad.

Generated via ChatGPT
 
Source
https://medium.com/design-bootcamp/how-i-created-ui-with-chatgpts-new-image-generator-4o-d52389a5833e