8 projects for "small app" with 2 filters applied:

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • Veeam Data Platform v13.1 Icon
    Veeam Data Platform v13.1

    Move workloads across hypervisors and clouds with no vendor lock-in. Try VDP free today.

    Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
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  • 1
    Llama Coder

    Llama Coder

    Open source Claude Artifacts – built with Llama 3.1 405B

    Llama Coder is an open-source tool that lets you generate small applications (often React or web apps) from a single natural-language prompt using the Llama 3 family of models. It’s framed as an open-source “Claude Artifacts”-style experience: you describe the app you want, the tool calls an LLM hosted on Together.ai, and you get back a runnable code artifact. The project includes a web interface where you can enter prompts, see generated code, and run or tweak the result directly in the browser. ...
    Downloads: 15 This Week
    Last Update:
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  • 2
    Groq AppGen

    Groq AppGen

    Project showcasing Llama 3.3 70B HTML codegen abilities

    Groq AppGen is an interactive web application (built with Next.js and TypeScript) that uses Groq’s LLM API to generate or modify web application code based on natural-language prompts. Essentially, you tell the app what kind of web app or page you want (in plain English), and groq-appgen will produce HTML/JSX code scaffolding, layout, and optionally application logic accordingly. It supports iterative feedback: you can refine your prompt, adjust parameters or requirements, and have the app regenerate or update the code — facilitating rapid prototyping and experimentation. ...
    Downloads: 0 This Week
    Last Update:
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  • 3
    TaxHacker

    TaxHacker

    Self-hosted AI accounting app. LLM analyzer for receipts

    TaxHacker is an open-source, self-hosted accounting application that uses artificial intelligence to automate financial record management for freelancers, independent developers, and small businesses. The system is designed to simplify bookkeeping by automatically processing financial documents such as receipts, invoices, and transaction records. It integrates large language models to analyze these documents, extract relevant financial information, and categorize expenses or income based on...
    Downloads: 0 This Week
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  • 4
    nanochat

    nanochat

    The best ChatGPT that $100 can buy

    nanochat is a from-scratch, end-to-end “mini ChatGPT” that shows the entire path from raw text to a chatty web app in one small, dependency-lean codebase. The repository stitches together every stage of the lifecycle: tokenizer training, pretraining a Transformer on a large web corpus, mid-training on dialogue and multiple-choice tasks, supervised fine-tuning, optional reinforcement learning for alignment, and finally efficient inference with caching.
    Downloads: 2 This Week
    Last Update:
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  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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  • 5
    Starter Applets

    Starter Applets

    Google AI Studio Starter Apps

    ...They are built to illustrate best practices (e.g. safety guards, prompt templates, streaming UI updates) rather than production feature sets. The repo supplies a CLI or script to scaffold new applet templates, letting developers spin up small Gemini-powered components quickly. Each applet includes configuration parameters (API keys, model selection, prompt parameters) in a secure but flexible format. Because applets are meant to be composable, they adopt a modular plugin architecture so you can integrate one into a Next.js, Flutter, or native app with minimal glue.
    Downloads: 0 This Week
    Last Update:
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  • 6
    OpenAI Quickstart Python

    OpenAI Quickstart Python

    Python example app from the OpenAI API quickstart tutorial

    ...It provides practical, beginner-friendly examples to help developers quickly learn how to send requests, handle responses, and build basic applications using the OpenAI Python SDK. The examples folder includes small, self-contained projects showcasing common use cases like chat completions, tool usage, and interactive interfaces. Each example is designed to be easily runnable with minimal setup—requiring only Python, a virtual environment, and an API key. The repository also includes environment setup guides and example scripts, such as a simple Flask web app for chat interactions, allowing developers to test OpenAI API integrations locally. ...
    Downloads: 8 This Week
    Last Update:
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  • 7
    simpleaichat

    simpleaichat

    Python package for easily interfacing with chat apps

    ...It aims to abstract the boilerplate of prompt management, message history, and streaming while leaving core Python control in your hands. The package emphasizes simplicity over heavy frameworks, making it ideal for scripts, notebooks, and small services that need LLMs without architectural lock-in. It supports structured responses and validation patterns so your app can reliably parse model outputs instead of wrestling with brittle free-text parsing. The project encourages clean separation between system prompts, user messages, and tool outputs to keep conversations predictable. ...
    Downloads: 0 This Week
    Last Update:
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  • 8
    Jan-v1-edge

    Jan-v1-edge

    Jan-v1-edge: efficient 1.7B reasoning model optimized for edge devices

    Jan-v1-edge is a lightweight agentic language model developed by JanHQ, designed for fast and reliable on-device execution. It is the second release in the Jan Family and was distilled from the larger Jan-v1 model, retaining strong reasoning and problem-solving capabilities while reducing its computational footprint. The model was refined through a two-stage post-training process: Supervised Fine-Tuning (SFT) to transfer knowledge from Jan-v1, followed by Reinforcement Learning with...
    Downloads: 0 This Week
    Last Update:
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